Paper Citation Record · LEDGER

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

As of 23 August 2026, this Paper Citation Record lists 97 of 97 outbound references and 27 inbound Pith citation observations for arXiv:2502.10391.

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

pith.paper-citation-record.v1
2502.10391 v1

Coverage vector

measured 97 of 97 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T18:23:50.744223Z

measured 124 of 124 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:28:02.977973Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:27:37.082400Z

Reference resolution

97 of 97 outbound references displayed

verified exact0
verified fuzzy8
unresolved89
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8f1b187c-2e91-4e11-8100-8651fc77a71f · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.523362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2981123-6329-48b3-a413-4224712e0d6b · outbound

This paper cites Pixtral 12B.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Pixtral 12B

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.531232Z

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Observation 4f9838e1-e980-48ff-95a1-a0e08ad56315 · outbound

This paper cites Direct Preference Optimization with an Offset.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Direct Preference Optimization with an Offset

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.539127Z

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Observation 499c3639-92f4-4e37-a1e9-9ec70e78aeee · outbound

This paper cites Vqa: Visual question answering.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Vqa: Visual question answering

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.546058Z

Source-reported events for the cited work

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Observation ef901459-183a-457e-afde-9f2ece4289a4 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.552483Z

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Observation 2dcc7400-3811-4bfa-9905-b9f83fd47c1f · outbound

This paper cites TouchStone: Evaluating Vision-Language Models by Language Models.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment TouchStone: Evaluating Vision-Language Models by Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.558553Z

Source-reported events for the cited work

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Observation b6300708-95dd-4364-98a6-de3baf853e30 · outbound

This paper cites VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.564656Z

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Observation a837664d-9ae9-4e18-8bcf-5152b23862da · outbound

This paper cites Language models are few-shot learners.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Language models are few-shot learners

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.622783Z

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Observation d1236c06-b979-4832-ba05-170e0a96013e · outbound

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

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Are We on the Right Way for Evaluating Large Vision-Language Models?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.637480Z

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Observation 8f907f7d-2050-48be-abc9-27c2a2d25941 · outbound

This paper cites ShareGPT4Video: Improving Video Understanding and Generation with Better Captions.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment ShareGPT4Video: Improving Video Understanding and Generation with Better Captions

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.679159Z

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Observation ff0a1798-c851-430b-a8bf-b6b3fc6034c5 · outbound

This paper cites WebSRC: A Dataset for Web-Based Structural Reading Comprehension.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment WebSRC: A Dataset for Web-Based Structural Reading Comprehension

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.712859Z

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Observation 1f52f174-8dd9-40e8-a87d-96932e6cb91d · outbound

This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.745194Z

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Observation e1dcd352-3243-4d99-8347-784d4cd096b5 · outbound

This paper cites InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.779403Z

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Observation e14d5402-2079-4dc0-97bb-ceb0a69e7e40 · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.787756Z

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Observation 6e9ef6e6-ad4d-4ddd-ac35-445bbf735d62 · outbound

This paper cites Provably Robust DPO: Aligning Language Models with Noisy Feedback.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Provably Robust DPO: Aligning Language Models with Noisy Feedback

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.795434Z

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Observation c0ad6dc9-7477-4748-a754-7959c63eb6e4 · outbound

This paper cites NVLM: Open Frontier-Class Multimodal LLMs.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment NVLM: Open Frontier-Class Multimodal LLMs

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.802749Z

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Observation bf019ee6-6568-4fcc-b033-6447fa3d5023 · outbound

This paper cites Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.810907Z

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Observation ace44fbc-4616-4b1d-8ea0-67038fb73abd · outbound

This paper cites Vlmevalkit: An open-source toolkit for evaluating large multi-modality models.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Vlmevalkit: An open-source toolkit for evaluating large multi-modality models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.816591Z

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Observation 181ac02a-f004-420c-9145-ee9aa73774f4 · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.823966Z

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Observation 63fabce5-e990-4e70-aed4-1c56716c81ea · outbound

This paper cites Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.829925Z

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Observation 2eaab4af-c665-4c62-9349-65ff4b72a787 · outbound

This paper cites VITA: Towards Open-Source Interactive Omni Multimodal LLM.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment VITA: Towards Open-Source Interactive Omni Multimodal LLM

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.836288Z

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Observation c292084b-02c9-477f-b785-df96ca3191a2 · outbound

This paper cites VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.843627Z

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Observation e71ccea0-7fe7-42a3-88eb-843910d7a257 · outbound

This paper cites MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.849204Z

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Observation 7d442750-fa52-491e-a38f-d1a8e0582475 · outbound

This paper cites BLINK: Multimodal Large Language Models Can See but Not Perceive.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment BLINK: Multimodal Large Language Models Can See but Not Perceive

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.886875Z

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Observation 6896c9b0-4cf1-422d-bf1f-0956f20e2c7d · outbound

This paper cites Infimm- eval: Complex open-ended reasoning evaluation for multi-modal large language models, 2023.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Infimm- eval: Complex open-ended reasoning evaluation for multi-modal large language models, 2023

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.893155Z

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Observation 660fabdc-fa88-4af2-8055-43e8eb1228fb · outbound

This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Reference 26

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Observation 5cc59590-50e3-48f3-ad73-bba894f76022 · outbound

This paper cites VLSBench: Unveiling Visual Leakage in Multimodal Safety.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment VLSBench: Unveiling Visual Leakage in Multimodal Safety

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.905004Z

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Observation 15a70143-3fe8-4ccc-b980-27fc3a716ce4 · outbound

This paper cites Mistral 7B.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Mistral 7B

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.910667Z

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Observation 52047ede-8d17-4efc-b77e-38bb3fb5d9be · outbound

This paper cites A diagram is worth a dozen images.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment A diagram is worth a dozen images

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.916456Z

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Observation b855676b-334a-40de-9c4b-032a8a83edf5 · outbound

This paper cites Llava-next: Stronger llms supercharge multimodal capabilities in the wild, May 2024.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Llava-next: Stronger llms supercharge multimodal capabilities in the wild, May 2024

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.921302Z

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Observation 93133f22-5bd8-43e2-8e97-4dbdc2bae508 · outbound

This paper cites Otter: A Multi-Modal Model with In-Context Instruction Tuning.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Otter: A Multi-Modal Model with In-Context Instruction Tuning

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.926724Z

Source-reported events for the cited work

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Observation 664a80c7-ddfa-489f-a597-752f7529b8da · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment LLaVA-OneVision: Easy Visual Task Transfer

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.932313Z

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Observation 611c7e4c-0ec4-4ffb-99de-ecdc32dfe686 · outbound

This paper cites SEED-Bench-2-Plus: Benchmarking Multimodal Large Language Models with Text-Rich Visual Comprehension.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment SEED-Bench-2-Plus: Benchmarking Multimodal Large Language Models with Text-Rich Visual Comprehension

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.937654Z

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Observation 29c7f356-9e0a-4313-a05a-78815ee61366 · outbound

This paper cites SEED-Bench-2: Benchmarking Multimodal Large Language Models.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment SEED-Bench-2: Benchmarking Multimodal Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.960160Z

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Observation d7dd9c67-2de6-4825-8f10-5c3a29621257 · outbound

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

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:49.989643Z

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Observation 07bc4a16-2f98-491a-9d28-29b500f400ec · outbound

This paper cites VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models

Reference 36

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Observation 1a02d2a3-5dbb-4a20-85be-16e009ade606 · outbound

This paper cites Silkie: Preference Distillation for Large Visual Language Models.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Silkie: Preference Distillation for Large Visual Language Models

Reference 37

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Observation 6c7b39fa-091e-4f51-8c1b-4c81bdd9c969 · outbound

This paper cites Red Teaming Visual Language Models.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Red Teaming Visual Language Models

Reference 38

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Observation cc259b27-001f-40d1-a94d-c7a538e22db5 · outbound

This paper cites Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Reference 39

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Observation 307625ca-1c5d-45e0-99b1-1cbb7602ab7b · outbound

This paper cites Evaluating object hallucination in large vision-language models.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Evaluating object hallucination in large vision-language models

Reference 40

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Observation 34a3a2f1-82cb-4415-b4fa-9ea99c0f61e3 · outbound

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

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Evaluating Object Hallucination in Large Vision-Language Models

Reference 41

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Observation f0cc6a6c-1c85-4340-914d-9337bc03a544 · outbound

This paper cites Mitigat- ing hallucination in large multi-modal models via robust instruction tuning.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Mitigat- ing hallucination in large multi-modal models via robust instruction tuning

Reference 42

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Observation 54005270-c6d4-4418-a075-56be5888183f · outbound

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MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Visual Instruction Tuning

Reference 43

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Observation 0b0b0de4-b3d3-47d1-83ea-afb183c1f36d · outbound

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

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment MMBench: Is Your Multi-modal Model an All-around Player?

Reference 44

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Observation 3ba341f0-f496-4fb8-84c4-f4b44c4e0116 · outbound

This paper cites On the hidden mystery of ocr in large multimodal models, 2024.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment On the hidden mystery of ocr in large multimodal models, 2024

Reference 45

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Observation bd0373a9-ea0e-4aed-9ced-1b4573ec00b5 · outbound

This paper cites Deep learning face attributes in the wild.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Deep learning face attributes in the wild

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.158193Z

Source-reported events for the cited work

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Observation 9d58c1f4-8351-449d-adba-5a00f15124bd · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.166266Z

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Observation 497f175d-391a-4e59-ba2e-3abc07d35f41 · outbound

This paper cites Mathvista: Evaluating mathemati- cal reasoning of foundation models in visual contexts.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Mathvista: Evaluating mathemati- cal reasoning of foundation models in visual contexts

Reference 48

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Observation 806c8e65-cc4a-4347-88c4-7850e57ad0dd · outbound

This paper cites WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences

Reference 49

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Source-reported events for the cited work

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Observation 29f4eb57-c8e3-4128-94fd-c083cc3d04f7 · outbound

This paper cites Video-chatgpt: Towards detailed video understanding via large vision and language models.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Video-chatgpt: Towards detailed video understanding via large vision and language models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.187690Z

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Observation a5f2564d-012d-42b1-a222-5a08b7d1521d · outbound

This paper cites ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.200612Z

Source-reported events for the cited work

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Observation 2f099e37-bcc5-4b03-8d86-1c85b9f0d297 · outbound

This paper cites Infographicvqa.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Infographicvqa

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.206580Z

Source-reported events for the cited work

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Observation 50556b81-2ef0-404c-b359-2507d4d9174b · outbound

This paper cites Docvqa: A dataset for vqa on docu- ment images.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Docvqa: A dataset for vqa on docu- ment images

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.216767Z

Source-reported events for the cited work

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Observation 43faba2b-9de1-401d-b4cb-5a5d719163de · outbound

This paper cites Gpt-4 technical report.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Gpt-4 technical report

Reference 56

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Source-reported events for the cited work

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Observation a812eeb3-55c8-487c-ae51-de08261b7ab3 · outbound

This paper cites Towards vqa models that can read.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Towards vqa models that can read

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.230249Z

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Observation e956c9ac-fcff-4fb9-8157-1a9e98f75bfa · outbound

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

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Aligning Large Multimodal Models with Factually Augmented RLHF

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.247240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2472ce56-6b13-4997-9b04-5c126aa820c4 · outbound

This paper cites Stanford alpaca: An instruction-following llama model, 2023.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Stanford alpaca: An instruction-following llama model, 2023

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.254953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3bb5cc7-1fc9-49da-ad03-d63dc6f87a74 · outbound

This paper cites Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.291605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fe8f71c-2019-44d6-80fb-a2c6a047ee68 · outbound

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

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment LLaMA: Open and Efficient Foundation Language Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.322062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 743f2a8a-ae08-463b-8d0f-8a9b113cfb1d · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.351029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2ead512-85c7-4613-9168-fcf320b02b7f · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.380394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8882991-f408-49fa-a646-9d5517477e26 · outbound

This paper cites $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.415535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 650289be-35c1-41fc-b3ce-57969e223ca4 · outbound

This paper cites Deepseek-vl2: Mixture-of-experts vision-language models for advanced multimodal understanding, 2024.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Deepseek-vl2: Mixture-of-experts vision-language models for advanced multimodal understanding, 2024

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.428020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c26313c-026e-4330-aa1a-b358d00c869b · outbound

This paper cites LLaVA-Critic: Learning to Evaluate Multimodal Models.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment LLaVA-Critic: Learning to Evaluate Multimodal Models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.433458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54fc93e1-c672-4bc6-bd01-f06f3c2cd15f · outbound

This paper cites ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.439693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 867af584-15e8-4bc6-9321-a6d55ec46471 · outbound

This paper cites mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.446156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 013cdb5e-9deb-4336-bb59-f5fe0855a149 · outbound

This paper cites Mmt-bench: A comprehensive multimodal benchmark for evaluating large vision-language models towards multitask agi, 2024.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Mmt-bench: A comprehensive multimodal benchmark for evaluating large vision-language models towards multitask agi, 2024

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.452017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0652f30-b4bd-4230-acb9-e8430b4f3d87 · outbound

This paper cites Rlhf-v: Towards trustworthy mllms via behavior alignment from fine-grained correctional human feedback.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Rlhf-v: Towards trustworthy mllms via behavior alignment from fine-grained correctional human feedback

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.459008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a02aa576-5f30-4343-a073-97a557b4733c · outbound

This paper cites Rlaif-v: Aligning mllms through open-source ai feedback for super gpt-4v trustworthiness.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Rlaif-v: Aligning mllms through open-source ai feedback for super gpt-4v trustworthiness

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.467364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e25afa4c-d9d2-4085-aeb8-7986d680207b · outbound

This paper cites Mm-vet: Evaluating large multimodal models for integrated capabil- ities.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Mm-vet: Evaluating large multimodal models for integrated capabil- ities

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.473897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4229abe-225d-4a77-996c-286beb3372a5 · outbound

This paper cites Self-Generated Critiques Boost Reward Modeling for Language Models.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Self-Generated Critiques Boost Reward Modeling for Language Models

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.481768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 818779c1-2700-4ed9-b07f-b56ceb686f4b · outbound

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

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.488488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35e5ba8f-43a4-44c6-8c8c-ad4b8ed4eb98 · outbound

This paper cites Anyattack: Self-supervised generation of targeted adversarial attacks for vision-language models.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Anyattack: Self-supervised generation of targeted adversarial attacks for vision-language models

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:23:53.060100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b973462c-04d2-4ef6-9c00-0bdbeb016073 · outbound

This paper cites InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.500362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad2f3176-c300-4042-a77f-2367a292f710 · outbound

This paper cites MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.508069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8a1bd3f-8f1a-4e44-ac29-90882517e885 · outbound

This paper cites Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.516471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da4ce379-8a1f-4957-b71b-6372f400c90f · outbound

This paper cites Debiasing Multimodal Large Language Models via Penalization of Language Priors.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Debiasing Multimodal Large Language Models via Penalization of Language Priors

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.524073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 243109b7-9c10-4e28-9420-bcd07a671154 · outbound

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

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.530539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45ddd3ac-d608-4fad-8f74-2418c6c694fe · outbound

This paper cites Multitrust: A comprehensive benchmark towards trustworthy multimodal large language models.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Multitrust: A comprehensive benchmark towards trustworthy multimodal large language models

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:23:53.039442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 73da6a09-7f01-4c25-b393-89a6b3c6cfe2 · outbound

This paper cites LLaVA-Video: Video Instruction Tuning With Synthetic Data.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment LLaVA-Video: Video Instruction Tuning With Synthetic Data

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.551232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf4c39da-e164-4a99-8e60-4ee06a4b2c4c · outbound

This paper cites Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:50.561901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cddd6f3-8f5a-40a4-b218-d727338672f6 · outbound

This paper cites an unresolved cited work.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Unresolved cited work

Reference 85

Resolution: unresolved; raw_fallback, observed 2026-08-07T18:23:53.018387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation df2f2f70-22d7-4e94-90ac-4e278ccfd0d3 · outbound

This paper cites Minimize errors and misleading information in object relationship descriptions.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Minimize errors and misleading information in object relationship descriptions

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:23:52.996592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0af65dce-5e38-4900-9fac-e1c181639057 · outbound

This paper cites an unresolved cited work.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Unresolved cited work

Reference 87

Resolution: unresolved; raw_fallback, observed 2026-08-07T18:23:52.973227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation feaa45a4-8089-4844-9586-8c5f4934f993 · outbound

This paper cites Rating Scale: • Severely Inaccurate: Major errors in object descriptions, relationships, or attributes, or references to non-existent objects.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Rating Scale: • Severely Inaccurate: Major errors in object descriptions, relationships, or attributes, or references to non-existent objects

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:23:52.952674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e9b2b42c-bec4-4786-b0d2-8fd8d079d772 · outbound

This paper cites an unresolved cited work.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-08-07T18:23:52.930281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bba01542-4ba8-4b6f-b818-9f141c17f1cd · outbound

This paper cites an unresolved cited work.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-07T18:23:52.905978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 641145cc-ad23-4261-b4ce-2e26fd23b2dd · outbound

This paper cites Rating Scale: • Not Helpful: The response does not address the user’s prompt, providing entirely irrelevant information.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Rating Scale: • Not Helpful: The response does not address the user’s prompt, providing entirely irrelevant information

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:23:52.881053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4e6f05a8-7ba5-4de2-9c92-90db14272085 · outbound

This paper cites an unresolved cited work.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Unresolved cited work

Reference 92

Resolution: unresolved; raw_fallback, observed 2026-08-07T18:23:52.859324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4472717b-5d78-4143-bba7-a6b160ade966 · outbound

This paper cites an unresolved cited work.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Unresolved cited work

Reference 93

Resolution: unresolved; raw_fallback, observed 2026-08-07T18:23:52.837576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8a14ad96-75a4-4276-b9cf-fcb3b8ce1eb1 · outbound

This paper cites an unresolved cited work.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Unresolved cited work

Reference 94

Resolution: unresolved; raw_fallback, observed 2026-08-07T18:23:52.817360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3fa1a848-13a6-4ce2-9f24-e3cae8da8789 · outbound

This paper cites Rating Scale: • Highly Unsafe/Privacy Infringing/Unfair/Harmful: The response contains severely in- appropriate content that violates ethical standards.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Rating Scale: • Highly Unsafe/Privacy Infringing/Unfair/Harmful: The response contains severely in- appropriate content that violates ethical standards

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:23:52.795219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5cd7bab8-0691-4bf4-8681-7493b6f3778d · outbound

This paper cites an unresolved cited work.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Unresolved cited work

Reference 96

Resolution: unresolved; raw_fallback, observed 2026-08-07T18:23:52.670958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c8387972-2eaf-41bc-9039-9a889791bda9 · outbound

This paper cites an unresolved cited work.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Unresolved cited work

Reference 97

Resolution: unresolved; raw_fallback, observed 2026-08-07T18:23:52.605802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f7f1d375-68cd-4e58-9466-016ab5c1d92c · outbound

This paper cites an unresolved cited work.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Unresolved cited work

Reference 98

Resolution: unresolved; raw_fallback, observed 2026-08-07T18:23:52.582997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 345db11a-f047-4552-9a9a-186070e0c9d4 · outbound

This paper cites If a tie occurs, provide a negative example (for multiple-choice, offer an incorrect answer; for long text, modify the content to include erroneous information).

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment If a tie occurs, provide a negative example (for multiple-choice, offer an incorrect answer; for long text, modify the content to include erroneous information)

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:23:52.559238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ff238f26-110a-4a13-9526-d065d338e51a · outbound

This paper cites Please describe this image,.

MM-RLHF: The Next Step Forward in Multimodal LLM Alignment Please describe this image,

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T18:23:52.526170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation 6617a416-055b-4156-8a1b-15a070b0c255 · inbound

A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges cites this paper.

A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 266

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:23.962027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da679117-4f8e-4591-b954-03f590d5c904 · inbound

From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.

From System 1 to System 2: A Survey of Reasoning Large Language Models MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 283

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:36:24.493833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f7f675fc-ef38-4d3a-9d70-8a0f7dac1cb9 · inbound

LAD-Reasoner: Tiny Multimodal Models are Good Reasoners for Logical Anomaly Detection cites this paper.

LAD-Reasoner: Tiny Multimodal Models are Good Reasoners for Logical Anomaly Detection MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T12:28:02.977973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae56dbab-7a2e-43bd-8dcc-caf3f8bb724f · inbound

Generative RLHF-V: Learning Principles from Multi-modal Human Preference cites this paper.

Generative RLHF-V: Learning Principles from Multi-modal Human Preference MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:55.253963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5852424-7ed5-485c-ba4e-571f5d9b5900 · inbound

VisualSphinx: Large-Scale Synthetic Vision Logic Puzzles for RL cites this paper.

VisualSphinx: Large-Scale Synthetic Vision Logic Puzzles for RL MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T12:42:19.926347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af67a684-595c-4119-b025-89b1851ed955 · inbound

GThinker: Towards General Multimodal Reasoning via Cue-Guided Rethinking cites this paper.

GThinker: Towards General Multimodal Reasoning via Cue-Guided Rethinking MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T11:55:14.702270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b0ec985-fb2e-429e-bbeb-c23793eb36c8 · inbound

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models cites this paper.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T11:21:40.615790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf83dd4e-5a6b-4fe9-b9fc-de3de6805c90 · inbound

Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment cites this paper.

Q-Ponder: A Unified Training Pipeline for Reasoning-based Visual Quality Assessment MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T11:22:50.342524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7508d138-a168-4880-8c5b-b1f4a844fd42 · inbound

Activation Reward Models for Few-Shot Model Alignment cites this paper.

Activation Reward Models for Few-Shot Model Alignment MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:42.531667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad249ce9-44b4-4525-ad20-ccc919238823 · inbound

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey cites this paper.

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 133

Resolution: unresolved; no resolver link, observed 2026-08-05T20:28:54.913563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d7afc8e-51e1-4898-9593-28a73edb2c14 · inbound

LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model cites this paper.

LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-05T13:24:39.964837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e71b9a7-b5a1-432e-9845-65efc072eef0 · inbound

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization cites this paper.

Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T23:11:32.187646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91815a4b-498f-4e7f-a4c8-c2af1f570f6b · inbound

NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation cites this paper.

NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:40:53.024462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4fd40dad-e259-44af-8477-a5422eadcb23 · inbound

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation cites this paper.

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 59

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T10:51:03.556344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8d23e198-328e-4f1d-82ac-3dc0cd04cfd3 · inbound

Culture-Aware Humorous Captioning: Multimodal Humor Generation across Cultural Contexts cites this paper.

Culture-Aware Humorous Captioning: Multimodal Humor Generation across Cultural Contexts MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:36:01.826529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dd93ae88-6690-4b52-b09e-642ad95b154e · inbound

Building a Precise Video Language with Human-AI Oversight cites this paper.

Building a Precise Video Language with Human-AI Oversight MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 88

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:46:04.467982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6868191b-257a-47b9-9050-a49334d09a96 · inbound

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification cites this paper.

DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:24.331700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b80cfbf5-0edc-4e68-925f-24735fec3fbd · inbound

Artifact-Bench: Evaluating MLLMs on Detecting and Assessing the Artifacts of AI-Generated Videos cites this paper.

Artifact-Bench: Evaluating MLLMs on Detecting and Assessing the Artifacts of AI-Generated Videos MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:28:11.975833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 79bdc297-7bde-4070-af2b-c81a42a28719 · inbound

LatentOmni: Rethinking Omni-Modal Understanding via Unified Audio-Visual Latent Reasoning cites this paper.

LatentOmni: Rethinking Omni-Modal Understanding via Unified Audio-Visual Latent Reasoning MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:36:10.480475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b7625811-fe53-4eb1-88e4-c186deff03ab · inbound

Toward Native Multimodal Modeling: A Roadmap cites this paper.

Toward Native Multimodal Modeling: A Roadmap MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 143

Resolution: verified exact; arxiv_id, observed 2026-06-29T23:04:01.935715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dddedaac-32b3-492e-8e54-1c748ab6b628 · inbound

Constitutional On-Policy Safe Distillation cites this paper.

Constitutional On-Policy Safe Distillation MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-07-02T01:36:25.457078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d6d659d7-c35c-4a1d-bed0-a7be6463fb99 · inbound

DriveReward: A Comprehensive Dataset and Generative Vision-Language Reward Model for Autonomous Driving cites this paper.

DriveReward: A Comprehensive Dataset and Generative Vision-Language Reward Model for Autonomous Driving MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:27:25.547848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9fe2c2b3-6b3b-40da-ae05-615b3fd39c35 · inbound

Kwai Keye-VL-2.0 Technical Report cites this paper.

Kwai Keye-VL-2.0 Technical Report MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T04:27:37.083717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation af9dee90-b69b-43f7-91f5-af013c095807 · inbound

Multimodal Reward Hacking in Reinforcement Learning cites this paper.

Multimodal Reward Hacking in Reinforcement Learning MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-13T02:39:02.891861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63b262a9-8058-415e-821c-e6de659462c8 · inbound

Groc-PO: Grounded Context Preference Optimization for Truthful Multimodal LLMs cites this paper.

Groc-PO: Grounded Context Preference Optimization for Truthful Multimodal LLMs MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T04:15:39.381986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bc85b1a-3960-4f20-bac0-ddfd98d4493f · inbound

The Boy Who Cried Wolf: Adversarial Misclassification of Safe Inputs as Unsafe in Multimodal Guardrails cites this paper.

The Boy Who Cried Wolf: Adversarial Misclassification of Safe Inputs as Unsafe in Multimodal Guardrails MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T00:20:22.395848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c10d224c-4731-4766-8304-f2d4adcf8da4 · inbound

SafeCap: Improving LVLM Safety with Image Captioning Reinforcement Learning cites this paper.

SafeCap: Improving LVLM Safety with Image Captioning Reinforcement Learning MM-RLHF: The Next Step Forward in Multimodal LLM Alignment

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-15T14:24:49.741420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.