π List of papers about Large Multimodal model
Rich Text Format
30
43 commits
updated May 31, 2025
| Topic | Description |
|---|---|
| LVLM Model | Large multimodal models / Foundation Model |
| Multimodal Benchmark & Dataset | π Interesting Multimodal Benchmark and Dataset |
| LVLM Agent | Agent & Application of LVLM |
| LVLM Hallucination | Benchmark & Methods for Hallucination |
| Title | Venue/Date | Note | Code | Picture |
|---|---|---|---|---|
MMMU: A Massive Multi-discipline Multimodal | CVPR 2024 | 11K Multimodal Questions Reasoning Benchmark | project | |
M3CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought | ACL 2024 | Multimodal COT: Multi-step visual modal reasoning | project | ![]() |
Learning to Correction: Explainable Feedback Generation for Visual Commonsense Reasoning Distractor | MM 2024 | Multimodal Correction | Github | ![]() |
Right this way: Can VLMs Guide Us to See More to Answer Questions? | NeurIPS 2024 | For visually impaired people | Github | ![]() |
FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models | NeurIPS 2024 | Multimodal Refinement 100K data | Project | ![]() |
Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model | EMNLP 2024 | Abstract Image Reasoning Benchmark | Project | ![]() |
Math-PUMA: Progressive Upward Multimodal Alignment to Enhance Mathematical Reasoning | AAAI 2025 | Math Reasoning & Weak2Strong Data | Project | ![]() |
Multimodal Situational Safety | ICLR 2025 | Multimodal Safety Benchmark | Project | ![]() |
MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos | ICLR 2025 | MMMU in Video QA | Project | ![]() |
MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? | ICLR 2025 | High Resolution Image | Project | ![]() |
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining | 2025-01 | Educational Video to Textbook | Project | ![]() |
Holistic Evaluation for Interleaved Text-and-Image Generation | EMNLP 2024 | Interleaved Text-Image Generation Benchmark | Project | ![]() |
A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation | 2024-11 | Interleaved T-I Generation More Scenarios Judge Model | Project | ![]() |
An Enhanced MultiModal ReAsoning Benchmark | 2025-01 | Multimodal COT | Project | ![]() |
MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models | ICLR 2025 | Multimodal COT Interleaved Generation | Project | ![]() |
PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding | ICLR 2025 | Physical Wold Understanding | Project | ![]() |
MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark | ICLR 2025 | MMMU Audio Version | Project | ![]() |
VLMaterial: Procedural Material Generation with Large Vision-Language Models | ICLR 2025 | Material -> Python Code | Project | ![]() |
VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models | CVPR 2025 | Vision-language generative reward | Project | ![]() |
VISCO: Benchmarking Fine-Grained Critique and Correction Towards Self-Improvement in Visual Reasoning | CVPR 2025 | Self-Critique | Project | ![]() |
Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation | CVPR 2025 | Unified MCQ for VQA Dataset | Project | ![]() |
Towards Universal Soccer Video Understanding | CVPR 2025 | Soccer MLLM Event Classification Commentary Generation Foul Recognition | Project | ![]() |
| CVPR 2025 | Video CoT Benchmark Fine-Grained | Project | ![]() | |
MV-MATH: Evaluating Multimodal Math Reasoning in Multi-Visual Contexts | CVPR 2025 | Multi-Images Math | Project | ![]() |
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models | CVPR 2025 | Long CoT | Project | ![]() |
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models | 2025-03 | VisualPRM | Project | ![]() |
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning | CVPR 2025 | Critic for MM Reasoning | Project | ![]() |
TheoremExplainAgent: Towards Multimodal Explanations for LLM | ACL 2025 | Visualization Reasoning | Project | ![]() |
| Title | Venue/Date | Note | Code | Picture |
|---|---|---|---|---|
Evaluating Object Hallucination in Large Vision-Language Models | EMNLP 2023 | Simple Object Hallunicattion Evaluation - POPE | Github | ![]() |
Evaluation and Analysis of Hallucination in Large Vision-Language Models | 2023-10 | Hallunicattion Evaluation - HaELM | Github | ![]() |
Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning | 2023-06 | GPT4-Assisted Visual Instruction Evaluation (GAVIE) & LRV-Instruction | Github | ![]() |
Woodpecker: Hallucination Correction for Multimodal Large Language Models | 2023-10 | First work to correct hallucinations in LVLMs | Github | ![]() |
Can We Edit Multimodal Large Language Models? | EMNLP 2023 | Knowledge Editing Benchmark | Github | ![]() |
Grounding Visual Illusions in Language:Do Vision-Language Models Perceive Illusions Like Humans? | EMNLP 2023 | Similar to human illusion? | Github | ![]() |
π List of papers about Large Multimodal model
Rich Text Format
30
43 commits
updated May 31, 2025
| Topic | Description |
|---|---|
| LVLM Model | Large multimodal models / Foundation Model |
| Multimodal Benchmark & Dataset | π Interesting Multimodal Benchmark and Dataset |
| LVLM Agent | Agent & Application of LVLM |
| LVLM Hallucination | Benchmark & Methods for Hallucination |
| Title | Venue/Date | Note | Code | Picture |
|---|---|---|---|---|
MMMU: A Massive Multi-discipline Multimodal | CVPR 2024 | 11K Multimodal Questions Reasoning Benchmark | project | |
M3CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought | ACL 2024 | Multimodal COT: Multi-step visual modal reasoning | project | ![]() |
Learning to Correction: Explainable Feedback Generation for Visual Commonsense Reasoning Distractor | MM 2024 | Multimodal Correction | Github | ![]() |
Right this way: Can VLMs Guide Us to See More to Answer Questions? | NeurIPS 2024 | For visually impaired people | Github | ![]() |
FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models | NeurIPS 2024 | Multimodal Refinement 100K data | Project | ![]() |
Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Model | EMNLP 2024 | Abstract Image Reasoning Benchmark | Project | ![]() |
Math-PUMA: Progressive Upward Multimodal Alignment to Enhance Mathematical Reasoning | AAAI 2025 | Math Reasoning & Weak2Strong Data | Project | ![]() |
Multimodal Situational Safety | ICLR 2025 | Multimodal Safety Benchmark | Project | ![]() |
MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos | ICLR 2025 | MMMU in Video QA | Project | ![]() |
MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? | ICLR 2025 | High Resolution Image | Project | ![]() |
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining | 2025-01 | Educational Video to Textbook | Project | ![]() |
Holistic Evaluation for Interleaved Text-and-Image Generation | EMNLP 2024 | Interleaved Text-Image Generation Benchmark | Project | ![]() |
A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generation | 2024-11 | Interleaved T-I Generation More Scenarios Judge Model | Project | ![]() |
An Enhanced MultiModal ReAsoning Benchmark | 2025-01 | Multimodal COT | Project | ![]() |
MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models | ICLR 2025 | Multimodal COT Interleaved Generation | Project | ![]() |
PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding | ICLR 2025 | Physical Wold Understanding | Project | ![]() |
MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark | ICLR 2025 | MMMU Audio Version | Project | ![]() |
VLMaterial: Procedural Material Generation with Large Vision-Language Models | ICLR 2025 | Material -> Python Code | Project | ![]() |
VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models | CVPR 2025 | Vision-language generative reward | Project | ![]() |
VISCO: Benchmarking Fine-Grained Critique and Correction Towards Self-Improvement in Visual Reasoning | CVPR 2025 | Self-Critique | Project | ![]() |
Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation | CVPR 2025 | Unified MCQ for VQA Dataset | Project | ![]() |
Towards Universal Soccer Video Understanding | CVPR 2025 | Soccer MLLM Event Classification Commentary Generation Foul Recognition | Project | ![]() |
| CVPR 2025 | Video CoT Benchmark Fine-Grained | Project | ![]() | |
MV-MATH: Evaluating Multimodal Math Reasoning in Multi-Visual Contexts | CVPR 2025 | Multi-Images Math | Project | ![]() |
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models | CVPR 2025 | Long CoT | Project | ![]() |
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models | 2025-03 | VisualPRM | Project | ![]() |
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning | CVPR 2025 | Critic for MM Reasoning | Project | ![]() |
TheoremExplainAgent: Towards Multimodal Explanations for LLM | ACL 2025 | Visualization Reasoning | Project | ![]() |
| Title | Venue/Date | Note | Code | Picture |
|---|---|---|---|---|
Evaluating Object Hallucination in Large Vision-Language Models | EMNLP 2023 | Simple Object Hallunicattion Evaluation - POPE | Github | ![]() |
Evaluation and Analysis of Hallucination in Large Vision-Language Models | 2023-10 | Hallunicattion Evaluation - HaELM | Github | ![]() |
Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning | 2023-06 | GPT4-Assisted Visual Instruction Evaluation (GAVIE) & LRV-Instruction | Github | ![]() |
Woodpecker: Hallucination Correction for Multimodal Large Language Models | 2023-10 | First work to correct hallucinations in LVLMs | Github | ![]() |
Can We Edit Multimodal Large Language Models? | EMNLP 2023 | Knowledge Editing Benchmark | Github | ![]() |
Grounding Visual Illusions in Language:Do Vision-Language Models Perceive Illusions Like Humans? | EMNLP 2023 | Similar to human illusion? | Github | ![]() |