MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique
Fuente:
arXiv
Saved in:
| Main Authors: | Zeng, Gailun, Luo, Ziyang, Lin, Hongzhan, Tian, Yuchen, Li, Kaixin, Gong, Ziyang, Guo, Jianxiong, Ma, Jing |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MemeArena: Automating Context-Aware Unbiased Evaluation of Harmfulness Understanding for Multimodal Large Language Models
by: Chen, Zixin, et al.
Published: (2025)
by: Chen, Zixin, et al.
Published: (2025)
GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse
by: Lin, Hongzhan, et al.
Published: (2024)
by: Lin, Hongzhan, et al.
Published: (2024)
AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness
by: Chen, Zixin, et al.
Published: (2025)
by: Chen, Zixin, et al.
Published: (2025)
ScratchEval: Are GPT-4o Smarter than My Child? Evaluating Large Multimodal Models with Visual Programming Challenges
by: Fu, Rao, et al.
Published: (2024)
by: Fu, Rao, et al.
Published: (2024)
Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models
by: Lin, Hongzhan, et al.
Published: (2024)
by: Lin, Hongzhan, et al.
Published: (2024)
From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanisms
by: Luo, Jinghao, et al.
Published: (2026)
by: Luo, Jinghao, et al.
Published: (2026)
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation
by: Luo, Ziyang, et al.
Published: (2024)
by: Luo, Ziyang, et al.
Published: (2024)
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
by: Gou, Zhibin, et al.
Published: (2023)
by: Gou, Zhibin, et al.
Published: (2023)
CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models
by: Lin, Hongzhan, et al.
Published: (2024)
by: Lin, Hongzhan, et al.
Published: (2024)
AmbiGraph-Eval: Can LLMs Effectively Handle Ambiguous Graph Queries?
by: Tian, Yuchen, et al.
Published: (2025)
by: Tian, Yuchen, et al.
Published: (2025)
VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulation
by: Luo, Ziyang, et al.
Published: (2024)
by: Luo, Ziyang, et al.
Published: (2024)
MMCode: Benchmarking Multimodal Large Language Models for Code Generation with Visually Rich Programming Problems
by: Li, Kaixin, et al.
Published: (2024)
by: Li, Kaixin, et al.
Published: (2024)
MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models
by: Wang, Shengkang, et al.
Published: (2024)
by: Wang, Shengkang, et al.
Published: (2024)
AhaKV: Adaptive Holistic Attention-Driven KV Cache Eviction for Efficient Inference of Large Language Models
by: Gu, Yifeng, et al.
Published: (2025)
by: Gu, Yifeng, et al.
Published: (2025)
MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities
by: Yu, Weihao, et al.
Published: (2023)
by: Yu, Weihao, et al.
Published: (2023)
ClarityEthic: Explainable Moral Judgment Utilizing Contrastive Ethical Insights from Large Language Models
by: Sun, Yuxi, et al.
Published: (2024)
by: Sun, Yuxi, et al.
Published: (2024)
CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding?
by: Zhao, Yuwei, et al.
Published: (2024)
by: Zhao, Yuwei, et al.
Published: (2024)
CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation
by: Ke, Pei, et al.
Published: (2023)
by: Ke, Pei, et al.
Published: (2023)
MM-Vet v2: A Challenging Benchmark to Evaluate Large Multimodal Models for Integrated Capabilities
by: Yu, Weihao, et al.
Published: (2024)
by: Yu, Weihao, et al.
Published: (2024)
Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models
by: Niu, Shuai, et al.
Published: (2024)
by: Niu, Shuai, et al.
Published: (2024)
FlagEvalMM: A Flexible Framework for Comprehensive Multimodal Model Evaluation
by: He, Zheqi, et al.
Published: (2025)
by: He, Zheqi, et al.
Published: (2025)
WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models
by: He, Hongliang, et al.
Published: (2024)
by: He, Hongliang, et al.
Published: (2024)
HEMM: Holistic Evaluation of Multimodal Foundation Models
by: Liang, Paul Pu, et al.
Published: (2024)
by: Liang, Paul Pu, et al.
Published: (2024)
EvolProver: Advancing Automated Theorem Proving by Evolving Formalized Problems via Symmetry and Difficulty
by: Tian, Yuchen, et al.
Published: (2025)
by: Tian, Yuchen, et al.
Published: (2025)
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
by: Luo, Ziyang, et al.
Published: (2023)
by: Luo, Ziyang, et al.
Published: (2023)
Copy-as-Decode: Grammar-Constrained Parallel Prefill for LLM Editing
by: Liu, Ziyang
Published: (2026)
by: Liu, Ziyang
Published: (2026)
Cooperative Memory Paging with Keyword Bookmarks for Long-Horizon LLM Conversations
by: Liu, Ziyang
Published: (2026)
by: Liu, Ziyang
Published: (2026)
MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs
by: Lin, Sheng-Chieh, et al.
Published: (2024)
by: Lin, Sheng-Chieh, et al.
Published: (2024)
MDIT-Bench: Evaluating the Dual-Implicit Toxicity in Large Multimodal Models
by: Jin, Bohan, et al.
Published: (2025)
by: Jin, Bohan, et al.
Published: (2025)
Exploring and Evaluating Multimodal Knowledge Reasoning Consistency of Multimodal Large Language Models
by: Jia, Boyu, et al.
Published: (2025)
by: Jia, Boyu, et al.
Published: (2025)
GAOKAO-MM: A Chinese Human-Level Benchmark for Multimodal Models Evaluation
by: Zong, Yi, et al.
Published: (2024)
by: Zong, Yi, et al.
Published: (2024)
MM-WebAgent: A Hierarchical Multimodal Web Agent for Webpage Generation
by: Li, Yan, et al.
Published: (2026)
by: Li, Yan, et al.
Published: (2026)
MM-Instruct: Generated Visual Instructions for Large Multimodal Model Alignment
by: Liu, Jihao, et al.
Published: (2024)
by: Liu, Jihao, et al.
Published: (2024)
NeuroABench: A Multimodal Evaluation Benchmark for Neurosurgical Anatomy Identification
by: Song, Ziyang, et al.
Published: (2025)
by: Song, Ziyang, et al.
Published: (2025)
$μ$KE: Matryoshka Unstructured Knowledge Editing of Large Language Models
by: Su, Zian, et al.
Published: (2025)
by: Su, Zian, et al.
Published: (2025)
Temporal-Spatial Decouple before Act: Disentangled Representation Learning for Multimodal Sentiment Analysis
by: Meng, Chunlei, et al.
Published: (2026)
by: Meng, Chunlei, et al.
Published: (2026)
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models
by: Xue, Le, et al.
Published: (2024)
by: Xue, Le, et al.
Published: (2024)
A Graph-Enhanced Defense Framework for Explainable Fake News Detection with LLM
by: Wang, Bo, et al.
Published: (2026)
by: Wang, Bo, et al.
Published: (2026)
Depth Registers Unlock W4A4 on SwiGLU: A Reader/Generator Decomposition
by: Liu, Ziyang
Published: (2026)
by: Liu, Ziyang
Published: (2026)
Each Fake News is Fake in its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection
by: Guo, Hao, et al.
Published: (2024)
by: Guo, Hao, et al.
Published: (2024)
Similar Items
-
MemeArena: Automating Context-Aware Unbiased Evaluation of Harmfulness Understanding for Multimodal Large Language Models
by: Chen, Zixin, et al.
Published: (2025) -
GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse
by: Lin, Hongzhan, et al.
Published: (2024) -
AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness
by: Chen, Zixin, et al.
Published: (2025) -
ScratchEval: Are GPT-4o Smarter than My Child? Evaluating Large Multimodal Models with Visual Programming Challenges
by: Fu, Rao, et al.
Published: (2024) -
Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models
by: Lin, Hongzhan, et al.
Published: (2024)