| ReaSon: Reinforced Causal Search with Information Bottleneck for Video Understanding | | 81.4 | ReaSon (LLaVA-Video-7B) | 2025-11-16 |
| Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models | | 81.4 | VAP (LLaVA-OV-72B) | 2026-05-03 |
| Progressive Video Condensation with MLLM Agent for Long-form Video Understanding | | 80.5 | ProVCA | 2026-04-03 |
| ReaSon: Reinforced Causal Search with Information Bottleneck for Video Understanding | | 80.4 | ReaSon (Qwen2.5-VL-7B) | 2025-11-16 |
| VideoMultiAgents: A Multi-Agent Framework for Video Question Answering | ✓ Link | 79.6 | VideoMultiAgent (GPT-4o) | 2025-04-25 |
| Tarsier: Recipes for Training and Evaluating Large Video Description Models | ✓ Link | 79.2 | Tarsier (34B) | 2024-06-30 |
| Agentic Keyframe Search for Video Question Answering | ✓ Link | 78.1 | AKEYS | 2025-03-20 |
| Bridging VideoQA and Video-Guided Agentic Tasks via Generalized Keyframe Extraction | ✓ Link | 78.1 | TASKER (GPT-4o) | 2026-06-28 |
| ReaSon: Reinforced Causal Search with Information Bottleneck for Video Understanding | | 77.6 | ReaSon (GPT-4o) | 2025-11-16 |
| Moment Sampling in Video LLMs for Long-Form Video QA | | 77.4 | GPT-4o with MS | 2025-06-18 |
| Bridging VideoQA and Video-Guided Agentic Tasks via Generalized Keyframe Extraction | ✓ Link | 77.4 | TASKER (GPT-4) | 2026-06-28 |
| See What You Need: Query-Aware Visual Intelligence through Reasoning-Perception Loops | | 76.1 | CAVIA (GPT-4.1) | 2025-08-25 |
| ENTER: Event Based Interpretable Reasoning for VideoQA | | 75.1 | ENTER | 2025-01-24 |
| See What You Need: Query-Aware Visual Intelligence through Reasoning-Perception Loops | | 74.5 | CAVIA (GPT-4) | 2025-08-25 |
| Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models | | 73.8 | VAP (GPT-4o) | 2026-05-03 |
| TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models | ✓ Link | 73.6 | TS-LLaVA-34B | 2024-11-17 |
| VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos | ✓ Link | 73.5 | VideoTree (GPT4) | 2024-05-29 |
| Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models | | 73.2 | VAP (GPT-4) | 2026-05-03 |
| Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QA | ✓ Link | 72.9 | LVNet(GPT-4o) | 2024-06-13 |
| VideoAgent: Long-form Video Understanding with Large Language Model as Agent | ✓ Link | 71.3 | VideoAgent (GPT-4) | 2024-03-15 |
| Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models | | 71.1 | VAP (Gemini 1.5 Pro) | 2026-05-03 |
| An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM | ✓ Link | 70.9 | IG-VLM(LLaVA v1.6) | 2024-03-27 |
| VidCtx: Context-aware Video Question Answering with Image Models | ✓ Link | 70.7 | VidCtx (7B) | 2024-12-23 |
| MoReVQA: Exploring Modular Reasoning Models for Video Question Answering | | 69.2 | MoReVQA(PaLM-2) | 2024-04-09 |
| An Image Grid Can Be Worth a Video: Zero-shot Video Question Answering Using a VLM | ✓ Link | 68.6 | IG-VLM (GPT-4) | 2024-03-27 |
| TraveLER: A Modular Multi-LMM Agent Framework for Video Question-Answering | ✓ Link | 68.2 | TraveLER (GPT-4) | 2024-04-01 |
| A Simple LLM Framework for Long-Range Video Question-Answering | ✓ Link | 67.7 | LLoVi (GPT-4) | 2023-12-28 |
| Long Context Transfer from Language to Vision | ✓ Link | 67.1 | LongVA(32 frames) | 2024-06-24 |
| Question-Instructed Visual Descriptions for Zero-Shot Video Question Answering | ✓ Link | 66.3 | Q-ViD | 2024-02-16 |
| Zero-Shot Video Question Answering with Procedural Programs | | 64.6 | ProViQ | 2023-12-01 |
| SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models | ✓ Link | 64.2 | SlowFast-LLaVA-34B | 2024-07-22 |
| Self-Chained Image-Language Model for Video Localization and Question Answering | ✓ Link | 63.6 | Sevila (4B) | 2023-05-11 |
| MVBench: A Comprehensive Multi-modal Video Understanding Benchmark | ✓ Link | 61.7 | VideoChat2 | 2023-11-28 |
| DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs | | 61.0 | DeepStack-L(7B) | 2024-06-06 |
| Language Repository for Long Video Understanding | ✓ Link | 60.9 | LangRepo (12B) | 2024-03-21 |
| ViperGPT: Visual Inference via Python Execution for Reasoning | ✓ Link | 60.0 | ViperGPT (GPT-3.5) | 2023-03-14 |
| Understanding Long Videos with Multimodal Language Models | ✓ Link | 55.2 | MVU (13B) | 2024-03-25 |
| A Simple LLM Framework for Long-Range Video Question-Answering | ✓ Link | 54.3 | LLoVi (7B) | 2023-12-28 |
| Verbs in Action: Improving verb understanding in video-language models | ✓ Link | 51.5 | VFC | 2023-04-13 |
| Mistral 7B | ✓ Link | 51.1 | Mistral (7B) | 2023-10-10 |