Paper Citation Record · LEDGER

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

As of 4 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 100 inbound Pith citation observations for arXiv:2304.14178.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2304.14178 v3

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T09:02:31.211260Z

measured 120 of 120 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 100 of 104 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:24:22.627249Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-10T06:15:00.866473Z

Reference resolution

20 of 20 outbound references displayed

verified exact19
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c966cff0-1189-4175-b608-21e0d3cb2f22 · outbound

This paper cites Flamingo: a Visual Language Model for Few-Shot Learning.

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality Flamingo: a Visual Language Model for Few-Shot Learning

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:04:15.076622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8ec80962-ecf4-4b0d-ab78-4a128e7c5401 · outbound

This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:04:15.032403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ce41ffec-77dc-4295-9b45-32ed5be9ae1b · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality PaLM: Scaling Language Modeling with Pathways

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:04:15.080433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 31c7845c-ccb1-462c-a422-7c12891b1e07 · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality Scaling Instruction-Finetuned Language Models

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:04:15.083930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9e89c9d5-617c-40b2-8dd6-4055bd7caac9 · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality PaLM-E: An Embodied Multimodal Language Model

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:04:15.068093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1a325725-06b9-4be4-b2ca-1766b6c1bc84 · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:04:15.087475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2e18a3f9-186c-4bc8-b2f8-cd0cf5a4288c · outbound

This paper cites Visual Instruction Tuning.

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality Visual Instruction Tuning

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:04:15.028188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 350f9dfe-3a83-4c0d-a890-cb095211731b · outbound

This paper cites GPT-4 Technical Report.

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality GPT-4 Technical Report

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:04:15.024208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 64cc3e3f-973d-405a-a234-24816a57a3b4 · outbound

This paper cites Training language models to follow instructions with human feedback.

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality Training language models to follow instructions with human feedback

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:04:15.048146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8db6f3b4-7956-4623-a776-c4e649a9554d · outbound

This paper cites BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:04:15.040147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c25a1df7-1ab1-4632-80d6-320c4f4b13db · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:04:15.036222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bdf32398-5d4c-470f-a001-a008a26c0be8 · outbound

This paper cites HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face.

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:04:15.044052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f7883de6-9577-4d88-a56c-ef3b9b8c50b3 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality LLaMA: Open and Efficient Foundation Language Models

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:04:15.097534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 477faf47-d840-4a0b-a645-1d5be12e8edf · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-24T09:04:15.064182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3ddb50c2-298c-4961-b890-67743b597329 · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T09:04:14.794976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e2490bfd-d056-4063-8440-6ec0db0165a3 · outbound

This paper cites Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data.

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-24T09:04:15.052649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 71a320d5-2ef4-4aa6-a654-0a2a5620c7ba · outbound

This paper cites mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video.

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-24T09:04:15.057623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 10d8118a-1f5e-44b4-ae73-3d4294e0bd8c · outbound

This paper cites HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training.

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-24T09:04:15.071854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 28c91947-cc6a-49f5-8f2a-b9382edf2624 · outbound

This paper cites HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training.

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-24T09:04:14.790817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e1a8c733-b4fb-417e-8c6c-509b6f930665 · outbound

This paper cites Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text.

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-24T09:04:15.092474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation 76944607-a24b-4725-a4f2-3624f6bcd79a · inbound

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention cites this paper.

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 81

Resolution: verified exact; local_arxiv, observed 2026-05-14T23:07:42.918442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c3394408-acdc-493f-a1e5-9115a84c87b1 · inbound

Evaluating Object Hallucination in Large Vision-Language Models cites this paper.

Evaluating Object Hallucination in Large Vision-Language Models mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:44:09.893263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b1aa540c-3827-4de9-bdb3-5caf9b589431 · inbound

A Survey on Multimodal Large Language Models cites this paper.

A Survey on Multimodal Large Language Models mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 83

Resolution: verified exact; local_arxiv, observed 2026-05-16T02:56:42.609524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f8962a29-202a-4945-9ccc-b4868541b0ca · inbound

Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning cites this paper.

Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-14T17:34:56.988590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 153230d6-ba90-4b15-9dc5-2fa0aa48f79c · inbound

MMBench: Is Your Multi-modal Model an All-around Player? cites this paper.

MMBench: Is Your Multi-modal Model an All-around Player? mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-12T17:20:53.880932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6e22e92b-a58a-4578-a0df-435bbc5a0475 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-05-19T20:28:39.264298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 78427e1f-bc1a-40d0-8b56-b633d9b8f0dd · inbound

SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension cites this paper.

SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T16:59:50.618607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5c0198fe-1053-450a-b3e8-9b545abb631d · inbound

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models cites this paper.

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-14T01:52:01.336399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 45bac780-abc3-4ac0-b7a8-807648c83609 · inbound

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models cites this paper.

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T14:21:16.530157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ff276869-2731-4eec-967e-10de06a5b520 · inbound

Aligning Large Multimodal Models with Factually Augmented RLHF cites this paper.

Aligning Large Multimodal Models with Factually Augmented RLHF mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-15T17:58:17.771669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4a56a9e4-1bf6-4ad4-999a-014ee602264e · inbound

The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision) cites this paper.

The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision) mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 146

Resolution: verified exact; local_arxiv, observed 2026-05-15T23:26:06.485947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ce33ff3c-5afd-4b5f-a530-f9ae1e4c4163 · inbound

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models cites this paper.

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-17T22:46:52.820083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dbef0d99-48d9-45d8-8792-bd82c02c9789 · inbound

LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment cites this paper.

LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 91

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T03:27:59.111880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cd581fc1-a0c9-4997-9dd8-5fb8592363cf · inbound

Improved Baselines with Visual Instruction Tuning cites this paper.

Improved Baselines with Visual Instruction Tuning mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-12T19:11:33.968118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 870f95de-9c13-47aa-ae07-365bd2148e3c · inbound

MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning cites this paper.

MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:13:09.002100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4c4fd9db-3542-404d-b6c1-39921caeb41f · inbound

HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models cites this paper.

HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-05-17T01:22:04.174548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 15a88951-f765-42ba-bef5-0210290d1b26 · inbound

mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration cites this paper.

mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 70

Resolution: verified exact; local_arxiv, observed 2026-05-18T03:18:51.778085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 88b2bf15-26bd-46fa-9b0f-4474af0248a8 · inbound

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models cites this paper.

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-05-17T03:03:26.796658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4358022d-95c1-45e0-ab53-c662ce04dc35 · inbound

Video-LLaVA: Learning United Visual Representation by Alignment Before Projection cites this paper.

Video-LLaVA: Learning United Visual Representation by Alignment Before Projection mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 79

Resolution: metadata mismatch; local_arxiv, observed 2026-05-14T18:08:01.386169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f8fd3119-352a-4101-9d27-eaa6f1784838 · inbound

ShareGPT4V: Improving Large Multi-Modal Models with Better Captions cites this paper.

ShareGPT4V: Improving Large Multi-Modal Models with Better Captions mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:08:12.985200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1827c624-c1f7-4e8f-a474-d7470f1bfd18 · inbound

An Embodied Generalist Agent in 3D World cites this paper.

An Embodied Generalist Agent in 3D World mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-17T14:22:18.658537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6370e879-f16f-40d3-9cd9-0a591343968a · inbound

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI cites this paper.

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 82

Resolution: verified exact; local_arxiv, observed 2026-05-15T05:37:41.704687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 54661be6-1b54-4002-b669-da2f5e91851d · inbound

MVBench: A Comprehensive Multi-modal Video Understanding Benchmark cites this paper.

MVBench: A Comprehensive Multi-modal Video Understanding Benchmark mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 94

Resolution: verified exact; local_arxiv, observed 2026-05-17T20:22:35.123593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 612cebfb-9871-416e-b028-61034679cc2d · inbound

MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices cites this paper.

MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 127

Resolution: verified exact; local_arxiv, observed 2026-05-16T16:35:38.171663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 25c59aa5-2992-4d29-85d6-5b5b6a0230c6 · inbound

SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents cites this paper.

SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 105

Resolution: verified exact; local_arxiv, observed 2026-05-17T10:09:46.632276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3c38bf03-f69f-42d8-87d8-fd248438338d · inbound

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models cites this paper.

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-16T02:33:30.430063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 29f21e54-a2f2-4286-9570-f57881e28d40 · inbound

Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception cites this paper.

Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-17T00:19:28.009730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e779d337-483a-43dd-9583-b1117bc6f29d · inbound

MobileVLM V2: Faster and Stronger Baseline for Vision Language Model cites this paper.

MobileVLM V2: Faster and Stronger Baseline for Vision Language Model mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-05-18T15:27:52.125475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f4ede3bb-da84-41ef-a5aa-b6de47c2bc2b · inbound

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning cites this paper.

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 179

Resolution: verified exact; local_arxiv, observed 2026-05-17T10:58:53.480487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c66988cc-63eb-421a-aa47-81bf253b1b29 · inbound

TempCompass: Do Video LLMs Really Understand Videos? cites this paper.

TempCompass: Do Video LLMs Really Understand Videos? mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 129

Resolution: verified exact; local_arxiv, observed 2026-05-17T02:46:16.862645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ffea0252-1c39-4f0f-961d-a817d10e3b08 · inbound

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training cites this paper.

MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 124

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T04:09:36.359145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4acff808-ec0f-4638-b458-70db110dbda5 · inbound

Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI cites this paper.

Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 102

Resolution: verified exact; local_arxiv, observed 2026-05-24T02:48:47.383923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fe117760-de67-47c6-86df-6ba21ed3c357 · inbound

Are We on the Right Way for Evaluating Large Vision-Language Models? cites this paper.

Are We on the Right Way for Evaluating Large Vision-Language Models? mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-12T19:41:44.416241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0db715e4-c6ce-4d06-935a-ecb9cfbe959a · inbound

Hallucination of Multimodal Large Language Models: A Survey cites this paper.

Hallucination of Multimodal Large Language Models: A Survey mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 188

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:33:33.243343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 43f69a16-3446-4395-b26d-a6b62830dca0 · inbound

VideoPhy: Evaluating Physical Commonsense for Video Generation cites this paper.

VideoPhy: Evaluating Physical Commonsense for Video Generation mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 114

Resolution: verified exact; local_arxiv, observed 2026-05-20T11:34:37.739196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2fca4937-5447-4c41-af00-8ddddb1a404f · inbound

MLVU: Benchmarking Multi-task Long Video Understanding cites this paper.

MLVU: Benchmarking Multi-task Long Video Understanding mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-05-14T19:55:26.482600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d5c109a0-9114-462a-bf25-31dd5942c855 · inbound

VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs cites this paper.

VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-11T02:44:53.704805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation b7089374-dc6c-4598-9382-6d94c5bedff9 · inbound

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning? cites this paper.

We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning? mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-05-16T21:55:41.004026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 14aa7ede-5221-4739-83d3-02b5cd04641a · inbound

mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models cites this paper.

mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 261

Resolution: verified exact; local_arxiv, observed 2026-05-20T06:20:36.560997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a9bdbae0-afc3-4e40-ad65-3f37fe8d9869 · inbound

MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? cites this paper.

MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-05-16T07:59:32.734287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e64a57d2-caf1-41e1-b96a-46707c56b9e6 · inbound

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark cites this paper.

MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-14T00:51:48.441410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dca7e261-89ab-422a-802c-6b3872e4f7e1 · inbound

SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference cites this paper.

SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 77

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T14:58:32.359216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3bb13275-a751-4d4e-a841-41ade18e559f · inbound

Polymath: A Challenging Multi-modal Mathematical Reasoning Benchmark cites this paper.

Polymath: A Challenging Multi-modal Mathematical Reasoning Benchmark mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-05-23T20:05:47.864373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 584107d8-04e9-44bc-8705-32a18bcb5e03 · inbound

LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding cites this paper.

LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-16T13:53:33.714961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 59dd7a6c-167a-454e-84d6-48c4e8adf649 · inbound

VidHal: Benchmarking Temporal Hallucinations in Vision LLMs cites this paper.

VidHal: Benchmarking Temporal Hallucinations in Vision LLMs mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-05-23T16:58:12.147855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5932dfb7-3179-4cc2-a915-3303f017e8d2 · inbound

When Large Vision-Language Models Meet Person Re-Identification cites this paper.

When Large Vision-Language Models Meet Person Re-Identification mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-05-23T16:58:11.858648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fa1e2b3a-1aca-45ce-bfec-f549f0c2e0ff · inbound

Open-Sora Plan: Open-Source Large Video Generation Model cites this paper.

Open-Sora Plan: Open-Source Large Video Generation Model mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-23T08:42:45.159395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e3eb39e2-a421-42ba-801a-86a9868077ed · inbound

HumanVBench: Probing Human-Centric Video Understanding in MLLMs with Automatically Synthesized Benchmarks cites this paper.

HumanVBench: Probing Human-Centric Video Understanding in MLLMs with Automatically Synthesized Benchmarks mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-05-23T07:05:29.213504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0558c787-2bf6-4a06-9024-203621515970 · inbound

LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding cites this paper.

LLaVA-Octopus: Unlocking Instruction-Driven Adaptive Projector Fusion for Video Understanding mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 80

Resolution: verified exact; local_arxiv, observed 2026-05-23T06:02:37.657152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9e60d85c-99e4-4327-829d-5946a85e52b5 · inbound

LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL cites this paper.

LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 87

Resolution: verified exact; local_arxiv, observed 2026-05-16T15:15:46.338926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8a2f37d5-f00c-4f4e-8bec-9a88201beeee · inbound

Q-Agent: Quality-Driven Chain-of-Thought Image Restoration Agent through Robust Multimodal Large Language Model cites this paper.

Q-Agent: Quality-Driven Chain-of-Thought Image Restoration Agent through Robust Multimodal Large Language Model mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 50

Resolution: verified exact; local_arxiv, observed 2026-05-22T21:22:09.793387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d9029727-9535-4217-990a-46e0d006d43e · inbound

Mitigating Hallucination in Large Vision-Language Models via Adaptive Attention Calibration cites this paper.

Mitigating Hallucination in Large Vision-Language Models via Adaptive Attention Calibration mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T12:52:18.070105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ee130942-ea7a-4237-81b9-e3f9d0b59eb5 · inbound

Revisit What You See: Revealing Visual Semantics in Vision Tokens to Guide LVLM Decoding cites this paper.

Revisit What You See: Revealing Visual Semantics in Vision Tokens to Guide LVLM Decoding mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-19T09:43:02.172931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bc6634c1-5380-4f0c-bbe8-421a3de6dab4 · inbound

A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends cites this paper.

A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 67

Resolution: verified exact; local_arxiv, observed 2026-05-19T04:42:04.355425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 575aeedd-6a0d-48fb-a16f-3af8b3d3eacb · inbound

ORCA: An Agentic Reasoning Framework for Hallucination and Adversarial Robustness in Vision-Language Models cites this paper.

ORCA: An Agentic Reasoning Framework for Hallucination and Adversarial Robustness in Vision-Language Models mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-18T15:26:33.887861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 656eb6dd-2e8a-4b3e-a877-200dba689f01 · inbound

ORCA: An Agentic Reasoning Framework for Hallucination and Adversarial Robustness in Vision-Language Models cites this paper.

ORCA: An Agentic Reasoning Framework for Hallucination and Adversarial Robustness in Vision-Language Models mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-05-21T21:30:39.467615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6f18ac0c-2eff-4346-8fd9-94fb847f3974 · inbound

Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM cites this paper.

Activation-Informed Pareto-Guided Low-Rank Compression for Efficient LLM/VLM mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T11:24:22.627249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0981b908-739f-4a9f-aa52-001c61bf3bca · inbound

FG-CLIP 2: A Bilingual Fine-grained Vision-Language Alignment Model cites this paper.

FG-CLIP 2: A Bilingual Fine-grained Vision-Language Alignment Model mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T10:18:44.550010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e59d0de6-02af-4d0f-98a8-6243b17f1a14 · inbound

VKnowU: Evaluating Visual Knowledge Understanding in Multimodal LLMs cites this paper.

VKnowU: Evaluating Visual Knowledge Understanding in Multimodal LLMs mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 104

Resolution: unresolved; no resolver link, observed 2026-08-03T20:23:08.346069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cdc6667-9167-471e-ba50-2e699eb78d92 · inbound

Multimodal Reinforcement Learning with Adaptive Verifier for AI Agents cites this paper.

Multimodal Reinforcement Learning with Adaptive Verifier for AI Agents mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-05-17T03:11:29.873760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 92116bc7-0121-4aed-a4df-7aac4060b207 · inbound

Multimodal Reinforcement Learning with Adaptive Verifier for AI Agents cites this paper.

Multimodal Reinforcement Learning with Adaptive Verifier for AI Agents mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-03T18:51:48.397328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8217daf5-0d1c-46b2-ac43-aa2968335a53 · inbound

NarrativeTrack: Evaluating Entity-Centric Reasoning for Narrative Understanding cites this paper.

NarrativeTrack: Evaluating Entity-Centric Reasoning for Narrative Understanding mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-03T13:02:00.686182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60f37dde-6ba9-43ff-88da-749d9fe23481 · inbound

NarrativeTrack: Evaluating Entity-Centric Reasoning for Narrative Understanding cites this paper.

NarrativeTrack: Evaluating Entity-Centric Reasoning for Narrative Understanding mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T06:36:33.949676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6521beb8-f74b-476a-a313-c4b183aaa3e8 · inbound

Superman: Unifying Skeleton and Vision for Human Motion Perception and Generation cites this paper.

Superman: Unifying Skeleton and Vision for Human Motion Perception and Generation mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T05:29:30.854898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67790b3b-d1f7-4a77-842c-a0b3b64531b6 · inbound

Omni-Diffusion: Unified Multimodal Understanding and Generation with Masked Discrete Diffusion cites this paper.

Omni-Diffusion: Unified Multimodal Understanding and Generation with Masked Discrete Diffusion mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-15T13:43:40.241796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ab547cc-cda1-41e6-b117-eba8546c1d2b · inbound

Less Data, Faster Convergence: Goal-Driven Data Optimization for Multimodal Instruction Tuning cites this paper.

Less Data, Faster Convergence: Goal-Driven Data Optimization for Multimodal Instruction Tuning mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 62

Resolution: unresolved; no resolver link, observed 2026-07-14T22:18:56.115559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa6d3f82-8639-42fa-8dd9-fcd97d668a2b · inbound

DFLOP: A Data-driven Framework for Multimodal LLM Training Pipeline Optimization cites this paper.

DFLOP: A Data-driven Framework for Multimodal LLM Training Pipeline Optimization mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 69

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T11:10:02.352378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4561c020-80f0-475e-b953-e97ae17bd251 · inbound

Seeing the Scene Matters: Revealing Forgetting in Video Understanding Models with a Scene-Aware Long-Video Benchmark cites this paper.

Seeing the Scene Matters: Revealing Forgetting in Video Understanding Models with a Scene-Aware Long-Video Benchmark mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-05-14T22:08:04.297157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 603e4b0d-d928-43ff-96ac-d27b9c253815 · inbound

Chat-Scene++: Exploiting Context-Rich Object Identification for 3D LLM cites this paper.

Chat-Scene++: Exploiting Context-Rich Object Identification for 3D LLM mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-14T21:32:59.463336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a23dda5a-a2fb-4b65-a15d-ee527e89e665 · inbound

CoME-VL: Scaling Complementary Multi-Encoder Vision-Language Learning cites this paper.

CoME-VL: Scaling Complementary Multi-Encoder Vision-Language Learning mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 71

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:33:17.188098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7a846a2b-d46c-4c2f-b105-de90b785b8a6 · inbound

Semantic-Geometric Dual Compression: Training-Free Visual Token Reduction for Ultra-High-Resolution Remote Sensing Understanding cites this paper.

Semantic-Geometric Dual Compression: Training-Free Visual Token Reduction for Ultra-High-Resolution Remote Sensing Understanding mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T10:26:01.395330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d44ef7c9-740a-4b14-84b9-bbba089d64d9 · inbound

R-CoV: Region-Aware Chain-of-Verification for Alleviating Object Hallucinations in LVLMs cites this paper.

R-CoV: Region-Aware Chain-of-Verification for Alleviating Object Hallucinations in LVLMs mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:36:04.422982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 37c41524-cf77-4589-b7b7-e8f28b166e66 · inbound

SSL-R1: Self-Supervised Visual Reinforcement Post-Training for Multimodal Large Language Models cites this paper.

SSL-R1: Self-Supervised Visual Reinforcement Post-Training for Multimodal Large Language Models mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:36:08.832543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a0a9d8e0-8560-441b-9d16-5054bd9e2c72 · inbound

Latent Denoising Improves Visual Alignment in Large Multimodal Models cites this paper.

Latent Denoising Improves Visual Alignment in Large Multimodal Models mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 92

Resolution: verified exact; arxiv_id, observed 2026-05-09T23:09:26.730864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ec175278-467b-4f7c-94d3-07433fceaa42 · inbound

ICU-Bench:Benchmarking Continual Unlearning in Multimodal Large Language Models cites this paper.

ICU-Bench:Benchmarking Continual Unlearning in Multimodal Large Language Models mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:51:11.023925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 72aaa357-9d65-4b0f-b511-d34c966df4e4 · inbound

ICU-Bench:Benchmarking Continual Unlearning in Multimodal Large Language Models cites this paper.

ICU-Bench:Benchmarking Continual Unlearning in Multimodal Large Language Models mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T05:20:43.477913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a82033d-3cda-4f74-b2da-a22d1a1497ea · inbound

AffectGPT-RL: Revealing Roles of Reinforcement Learning in Open-Vocabulary Emotion Recognition cites this paper.

AffectGPT-RL: Revealing Roles of Reinforcement Learning in Open-Vocabulary Emotion Recognition mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:01:11.833187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0ca23b14-1dcf-4089-ae60-7c869c778804 · inbound

ReasonEdit: Towards Interpretable Image Editing Evaluation via Reinforcement Learning cites this paper.

ReasonEdit: Towards Interpretable Image Editing Evaluation via Reinforcement Learning mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:15:59.717874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a774b6b9-dc84-436d-85a5-29e93bdb4f59 · inbound

LLaVA-UHD v4: What Makes Efficient Visual Encoding in MLLMs? cites this paper.

LLaVA-UHD v4: What Makes Efficient Visual Encoding in MLLMs? mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:11:16.343060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 36c3ac5b-1ba3-4d49-a10e-b561e49192a7 · inbound

Mitigating Action-Relation Hallucinations in LVLMs via Relation-aware Visual Enhancement cites this paper.

Mitigating Action-Relation Hallucinations in LVLMs via Relation-aware Visual Enhancement mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T05:47:21.423502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a01fdfc8-680c-41b3-bd5d-22b4f8366ac9 · inbound

Multilingual OCR-Aware Fine-Tuning and Prompt-Guided Chain-of-Thought Reasoning for Multimodal Large Language Models cites this paper.

Multilingual OCR-Aware Fine-Tuning and Prompt-Guided Chain-of-Thought Reasoning for Multimodal Large Language Models mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-20T21:23:44.400235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c5e2dafd-2067-41b0-a964-7d8a0c76c25b · inbound

AffectVerse: Emotional World Models for Multimodal Affective Computing cites this paper.

AffectVerse: Emotional World Models for Multimodal Affective Computing mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-05-20T06:48:05.774694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9c0c9dae-d5f3-4b24-a83f-7ccb7dd9480a · inbound

Mitigating Hallucinations in Large Vision-Language Models via Causal Route Gating cites this paper.

Mitigating Hallucinations in Large Vision-Language Models via Causal Route Gating mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T17:24:56.634573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7a0f665d-f0f7-49d3-9cc5-f925a4ff2880 · inbound

Exploring Adversarial Robustness and Safety Alignment in Multilingual Multi-Modal Large Language Models cites this paper.

Exploring Adversarial Robustness and Safety Alignment in Multilingual Multi-Modal Large Language Models mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-07-02T03:16:34.738320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7547257a-0f44-45c3-8c3e-867ea7e2cf4a · inbound

Task-Aware Structured Memory for Dynamic Multi-modal In-Context Learning cites this paper.

Task-Aware Structured Memory for Dynamic Multi-modal In-Context Learning mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 123

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T09:17:48.386689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ffa5f6a3-f059-4790-a24d-e68400af9c00 · inbound

The Hidden Power of Scaling Factor in LoRA Optimization cites this paper.

The Hidden Power of Scaling Factor in LoRA Optimization mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 23

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T14:08:21.974063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 19d3cfb6-64a2-42d2-b9c7-9d2bd0607996 · inbound

Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation cites this paper.

Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 49

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T17:18:43.806230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e7d40f5e-62f0-4007-ace4-21dc05b5f166 · inbound

NEST: Narrative Event Structures in Time for Long Video Understanding cites this paper.

NEST: Narrative Event Structures in Time for Long Video Understanding mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 288

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T03:29:31.187726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 18c50c91-7666-4f9d-8b9e-b539045cb3d6 · inbound

HPP: Hierarchical Programmatic Probing for Long Video Understanding by Decoupling Perception and Reasoning cites this paper.

HPP: Hierarchical Programmatic Probing for Long Video Understanding by Decoupling Perception and Reasoning mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 150

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T06:39:37.691004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cb54ec4c-5023-406a-897a-55cc01b83f35 · inbound

An LMM for Precisely Grounding Elements in Documents cites this paper.

An LMM for Precisely Grounding Elements in Documents mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-07-04T15:09:54.720233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7e892e0e-68fe-4e70-862d-bb51d0142525 · inbound

Omni-Perception Policy Optimization for Multimodal Emotion Reasoning cites this paper.

Omni-Perception Policy Optimization for Multimodal Emotion Reasoning mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 95

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T19:20:06.429472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 23fa663c-7f5f-495b-b8ff-27fcefa72f8e · inbound

Omni-Perception Policy Optimization for Multimodal Emotion Reasoning cites this paper.

Omni-Perception Policy Optimization for Multimodal Emotion Reasoning mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T10:17:44.329479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 502db605-70bb-49ac-99d3-9aada034aebc · inbound

TOPS: First-Principles Visual Token Pruning via Constructing Token Optimal Preservation Sets for Efficient MLLM Inference cites this paper.

TOPS: First-Principles Visual Token Pruning via Constructing Token Optimal Preservation Sets for Efficient MLLM Inference mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T14:09:53.838517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 143b3b6d-b76f-414e-84ef-d5e764626aae · inbound

MER-R1: Multimodal Emotion Reasoning via Slow-Fast Thinking Synergy cites this paper.

MER-R1: Multimodal Emotion Reasoning via Slow-Fast Thinking Synergy mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:23:51.443168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f55624f8-0cc2-48c3-89cd-6e9cd757d53e · inbound

See Only When Needed: Context-Aware Attention Intervention for Mitigating Hallucinations in LVLMs cites this paper.

See Only When Needed: Context-Aware Attention Intervention for Mitigating Hallucinations in LVLMs mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 43

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T06:54:20.794831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3b280dc7-d374-4a0c-a64f-c8c249e4708d · inbound

Combating Textual Noise and Redundancy: Entropy-Aware Dense Visual Token Pruning cites this paper.

Combating Textual Noise and Redundancy: Entropy-Aware Dense Visual Token Pruning mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 64

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T14:48:32.415187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5a096d5c-d394-4091-8171-91a6caf37252 · inbound

BVS: Bayesian Visual Search with Multimodal Large Language Model for Fine-grained Perception cites this paper.

BVS: Bayesian Visual Search with Multimodal Large Language Model for Fine-grained Perception mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 151

Resolution: unresolved; no resolver link, observed 2026-07-12T04:17:40.198357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78fb47b7-a639-4a07-93fc-ec7dfdae28ce · inbound

MentalThink: Shaping Thoughts in Mental SVG World cites this paper.

MentalThink: Shaping Thoughts in Mental SVG World mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 206

Resolution: unresolved; no resolver link, observed 2026-07-12T01:50:59.184754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2d6a28b-f309-4d26-ae2c-d32521d46a3a · inbound

Qwen-Audio-VAE Technical Report cites this paper.

Qwen-Audio-VAE Technical Report mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 64

Resolution: unresolved; no resolver link, observed 2026-07-14T03:31:19.309532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 141a615b-57f2-4749-a930-356f8a16468b · inbound

Contextualized Evaluation of Vision Language Models through Dynamic, Multi-turn Interactions cites this paper.

Contextualized Evaluation of Vision Language Models through Dynamic, Multi-turn Interactions mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T01:58:01.554825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.