Paper Citation Record · LEDGER

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation

As of 13 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 1 inbound Pith citation observation for arXiv:2412.04903.

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

pith.paper-citation-record.v1
2412.04903 v2

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:15:45.548297Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T15:05:21.907878Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T15:08:02.074896Z

Reference resolution

62 of 62 outbound references displayed

verified exact0
verified fuzzy12
unresolved50
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c20a20e2-9235-4bb3-8daf-3390873d5016 · outbound

This paper cites GPT-4 Technical Report.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.192262Z

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Observation cfa5f7cc-b9ea-44ce-b6da-5432b3cd586a · outbound

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

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.198801Z

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Observation 6075f1ff-8257-44bd-b27f-71af6e04cae8 · outbound

This paper cites Introducing our multimodal models, 2023.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Introducing our multimodal models, 2023

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.204734Z

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Observation c4122eb2-7ede-4595-85b8-ff6065f0956c · outbound

This paper cites Continual LLaVA: Continual Instruction Tuning in Large Vision-Language Models.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Continual LLaVA: Continual Instruction Tuning in Large Vision-Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.210468Z

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Observation 7531db02-af9a-4a18-b63e-6703c14ef1b4 · outbound

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

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation ShareGPT4V: Improving Large Multi-Modal Models with Better Captions

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.215944Z

Source-reported events for the cited work

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Observation 7bfe13d4-debb-4035-b2ac-03525b209723 · outbound

This paper cites PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.221696Z

Source-reported events for the cited work

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Observation 064bd64b-b1a0-49fd-9e69-17caf8363ac1 · outbound

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

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.228427Z

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Observation afab7f37-2681-4a98-b2e9-bb74ac27b656 · outbound

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

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.235243Z

Source-reported events for the cited work

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Observation 900be8f2-8b35-4dfd-9cba-ace4b33dd605 · outbound

This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.241288Z

Source-reported events for the cited work

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Observation 9d0e3942-1d76-4462-b1b4-731178172ab8 · outbound

This paper cites Enhancing Large Vision Language Models with Self-Training on Image Comprehension.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Enhancing Large Vision Language Models with Self-Training on Image Comprehension

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.246901Z

Source-reported events for the cited work

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Observation 278c5dde-25c1-4f08-abba-8d176d3e2e4a · outbound

This paper cites What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.252677Z

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Observation 399e962d-1baf-4ad7-9d1d-5d50926b6b24 · outbound

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

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Vlmevalkit: An open-source toolkit for evaluating large multi-modality models

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:46.879880Z

Source-reported events for the cited work

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Observation be302331-927a-466f-8a70-b0f5d69dee51 · outbound

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

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.264403Z

Source-reported events for the cited work

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Observation 869f7c6d-08f2-4dd3-8008-560deda00da0 · outbound

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

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.270537Z

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Unavailable: canonical work link unavailable.

Observation 47b76b57-8d5f-4f02-a2b6-6ebd0eaad57c · outbound

This paper cites Efficient Multimodal Learning from Data-centric Perspective.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Efficient Multimodal Learning from Data-centric Perspective

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.276775Z

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Observation 14d1d624-dfba-4e20-94fb-6fb692d2dfdf · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation LoRA: Low-Rank Adaptation of Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.282235Z

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Observation 173b546f-be86-4f94-a87c-7f56937a687a · outbound

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

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.288162Z

Source-reported events for the cited work

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Observation c0ca5f28-10e4-461c-91b1-241142baa4e9 · outbound

This paper cites LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.294591Z

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Observation f8238795-5298-42c2-962a-696a6a35e620 · outbound

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

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.300584Z

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Observation 752bf7ef-9dcf-48ea-a232-c45f7efea877 · outbound

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

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Silkie: Preference Distillation for Large Visual Language Models

Reference 20

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Source-reported events for the cited work

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Observation f2837536-35ff-452f-816f-8af47781f5a6 · outbound

This paper cites M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation M$^3$IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.311788Z

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Observation 50dcb1f3-f1c9-4d1a-8f0d-c8ef8a333b65 · outbound

This paper cites Red Teaming Visual Language Models.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Red Teaming Visual Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.317341Z

Source-reported events for the cited work

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Observation 1a7c7d87-f8d3-4c01-9b31-ecfd53584c39 · outbound

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

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Evaluating Object Hallucination in Large Vision-Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.322691Z

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Observation ff5a77d4-9051-48a1-b6fe-b71348d67325 · outbound

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

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.328671Z

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Observation a89266fe-bff0-40d3-badf-f235576c5d77 · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Improved Baselines with Visual Instruction Tuning

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 969ef877-2a1a-4ec9-b1f6-bb1c97f6f50a · outbound

This paper cites Visual instruction tuning.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Visual instruction tuning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.341133Z

Source-reported events for the cited work

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Observation e2418008-9e24-4709-b8b6-79ba61956036 · outbound

This paper cites A Survey on Hallucination in Large Vision-Language Models.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation A Survey on Hallucination in Large Vision-Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.347819Z

Source-reported events for the cited work

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Observation 689856cc-c6a7-4f5a-9617-d0f9a1bcdc0d · outbound

This paper cites Learn to explain: Multimodal reasoning via thought chains for science question answering.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Learn to explain: Multimodal reasoning via thought chains for science question answering

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:46.850399Z

Source-reported events for the cited work

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Observation 9bc3d518-bdfe-4e85-a664-19494be0f3b7 · outbound

This paper cites Mathvista: Evaluating mathemat- ical reasoning of foundation models in visual contexts.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Mathvista: Evaluating mathemat- ical reasoning of foundation models in visual contexts

Reference 29

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Observation 3c91929f-c41c-443e-bb96-11fdea8b1140 · outbound

This paper cites SimPO: Simple Preference Optimization with a Reference-Free Reward.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation SimPO: Simple Preference Optimization with a Reference-Free Reward

Reference 30

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Source-reported events for the cited work

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Observation 5bcec186-4edc-48ce-a99a-56c5c1b823e5 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation DINOv2: Learning Robust Visual Features without Supervision

Reference 31

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Source-reported events for the cited work

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Observation a9ec3eef-ea7b-4fd0-b9a4-b9e280f06b30 · outbound

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

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Training language models to follow instructions with human feedback

Reference 32

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Source-reported events for the cited work

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Observation 539e37b4-d317-4ea6-8ea7-4cc0bc67d028 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Learning transferable visual models from natural language supervi- sion

Reference 33

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Observation 46b8b64a-4161-4b9b-b325-50fc5e150257 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Direct preference optimization: Your language model is secretly a reward model

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:46.798944Z

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Observation d66c0994-55d1-4555-9588-607c3c1e22e7 · outbound

This paper cites Proximal Policy Optimization Algorithms.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Proximal Policy Optimization Algorithms

Reference 35

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Observation 0a179c69-c0b6-4d63-8011-d0a23245e2af · outbound

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

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Aligning Large Multimodal Models with Factually Augmented RLHF

Reference 36

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Observation f9d311ea-0459-4edd-9201-2f7766722622 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Gemini: A Family of Highly Capable Multimodal Models

Reference 37

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Observation ec515631-2aea-4330-9deb-950b9b20bb3e · outbound

This paper cites Eyes wide shut? exploring the 10 visual shortcomings of multimodal llms.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Eyes wide shut? exploring the 10 visual shortcomings of multimodal llms

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:46.780892Z

Source-reported events for the cited work

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Observation a8c18b14-d571-498e-94b0-8c673eaac303 · outbound

This paper cites AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.416910Z

Source-reported events for the cited work

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Observation b781e7cd-e719-4fb8-bdf5-c8ba61f9eb03 · outbound

This paper cites Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.422147Z

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Observation b5dd3bf9-8510-42d6-8dd5-0c174b40ebe7 · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Emu3: Next-Token Prediction is All You Need

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.427816Z

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Observation 90bd0078-f692-4549-91bd-85fda6748089 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large lan- guage models.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Chain-of-thought prompting elicits reasoning in large lan- guage models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:46.763059Z

Source-reported events for the cited work

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Observation 673ab646-95d2-4282-8bbc-bc16281423d8 · outbound

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

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation LLaVA-Critic: Learning to Evaluate Multimodal Models

Reference 43

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Source-reported events for the cited work

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Observation f319dd1b-8512-41cd-9fe4-7f8eedb838b4 · outbound

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EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Vigor: Improving visual ground- ing of large vision language models with fine-grained reward modeling

Reference 44

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Observation 6e3e43e3-f35b-4de7-a02d-cb4cad39ea32 · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 45

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Source-reported events for the cited work

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Observation 1039a7d5-e991-4703-94d3-df29571e1b96 · outbound

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EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Rlhf-v: Towards trustworthy mllms via behavior alignment from fine-grained correctional hu- man feedback

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:46.745492Z

Source-reported events for the cited work

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Observation d9c0d487-ee6f-4416-a2bc-58167ce97727 · outbound

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

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Rlaif-v: Aligning mllms through open-source ai feedback for super gpt-4v trustworthiness

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.460464Z

Source-reported events for the cited work

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Observation a3255b99-0504-4be1-867f-244dfc44a424 · outbound

This paper cites Self-Rewarding Language Models.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Self-Rewarding Language Models

Reference 48

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Source-reported events for the cited work

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Observation 4c91f07c-3a13-41d5-aa0a-d4d3fd452b2e · outbound

This paper cites PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.471772Z

Source-reported events for the cited work

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Observation 538b0ddb-5dbf-4130-ab77-8f763dc35550 · outbound

This paper cites LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.477475Z

Source-reported events for the cited work

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Observation eda6088e-7fec-415d-ba2a-21aaecb2a30b · outbound

This paper cites SVIT: Scaling up Visual Instruction Tuning.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation SVIT: Scaling up Visual Instruction Tuning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.483079Z

Source-reported events for the cited work

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Observation 75cd0b7e-36f6-420e-b4de-136dfbbaaccc · outbound

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

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Aligning Modalities in Vision Large Language Models via Preference Fine-tuning

Reference 52

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Source-reported events for the cited work

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Observation 7b241dee-3bf3-494f-83bf-bdb857a076f1 · outbound

This paper cites Calibrated Self-Rewarding Vision Language Models.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Calibrated Self-Rewarding Vision Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.494340Z

Source-reported events for the cited work

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Observation 3ebe7466-a4a3-4a02-92d7-4503ba250d5b · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T21:15:45.500631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ade1ccc-ebd7-4f56-9f90-2287aa58bc8e · outbound

This paper cites GPT-4o and our Critic model produce similar scores for responses, but they fail to identify the flaws in bad responses from the baseline LLA V A model.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation GPT-4o and our Critic model produce similar scores for responses, but they fail to identify the flaws in bad responses from the baseline LLA V A model

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:46.728234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 37566070-fac6-4220-bf83-d2c6b060ebaf · outbound

This paper cites As shown in Table 8, most of the experiment is con- ducted with prompts in rating style, apart from the ablation study presented in Section 5.3.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation As shown in Table 8, most of the experiment is con- ducted with prompts in rating style, apart from the ablation study presented in Section 5.3

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:46.710936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9973f9c9-347f-40a6-8ac0-b9fa44c59baf · outbound

This paper cites The training details are shown in Table 2.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation The training details are shown in Table 2

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:46.691045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 95650ce3-5617-4935-b03a-8d964506304d · outbound

This paper cites Using annotated preference data, one round of preference learning is conducted on LLaV A1.5.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Using annotated preference data, one round of preference learning is conducted on LLaV A1.5

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:46.670611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e4972ee4-a8ae-4bcb-b70a-11b9cb3e5809 · outbound

This paper cites an unresolved cited work.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-11T21:15:46.652699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9661aef2-010b-4c59-8e7b-598599019fca · outbound

This paper cites an unresolved cited work.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-11T21:15:46.636166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e55212cd-03c3-4adb-81a8-741fcfaca837 · outbound

This paper cites Here, we will show some examples between EACO and baseline LLaV A-v1.6- Mistral-7B in Table 9 and 10.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation Here, we will show some examples between EACO and baseline LLaV A-v1.6- Mistral-7B in Table 9 and 10

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:46.619883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d6e4cda5-e15e-4dcd-8cd7-63f1716d6fc7 · outbound

This paper cites score:⟨total points⟩.

EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation score:⟨total points⟩

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T21:15:46.601541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

Observation 822144ed-1b63-4e98-b397-83b8525ce130 · inbound

PALM: Progress-Aware Policy Learning via Affordance Reasoning for Long-Horizon Robotic Manipulation cites this paper.

PALM: Progress-Aware Policy Learning via Affordance Reasoning for Long-Horizon Robotic Manipulation EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation

Reference 115

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:08:02.076951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.