VideoResearcher: Self-Improving Tool Design for Long-Video Understanding

arXiv:2609.19664 · cs.CV · Submitted 2026-09-17 · Read on arXiv

cs.CV

Submitted: 2026-09-17

Updated: 2026-09-17

Code: https://github.com/karpathy/autoresearch

Terminology

• Accuracy — 40× in this paper · explained in 1 episode
• Benchmark — 17× in this paper · explained in 2 episodes
• Verification — 7× in this paper · explained in 2 episodes
• Agent Skills — 4× in this paper · explained in 1 episode
• Distillation — 4× in this paper · explained in 2 episodes
• Grounding — 4× in this paper · explained in 3 episodes
• Multi-Agent Framework — 4× in this paper · explained in 3 episodes
• Self-distillation — 4× in this paper · explained in 6 episodes
• Analyzer — 3× in this paper · explained in 1 episode
• Multi-Agent System — 3× in this paper · explained in 6 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Verifier — 3× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Agentic Reasoning — 2× in this paper · explained in 1 episode
• Agentic System — 2× in this paper · explained in 2 episodes
• Iterative Refinement — 2× in this paper · explained in 3 episodes
• Multimodal Reasoning — 2× in this paper · explained in 5 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Ablation Studies — 1× in this paper · explained in 1 episode
• Agent Architectures — 1× in this paper · explained in 1 episode
• Agentic Retrieval — 1× in this paper · explained in 1 episode
• Agentic Search — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• RAG — 1× in this paper · explained in 3 episodes
• Temporal Reasoning — 1× in this paper · explained in 2 episodes

Sources

• GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
• EvoSkill: Automated Skill Discovery for Multi-Agent Systems
• Qwen2.5-VL Technical Report
• MemDreamer: Decoupling Perception and Reasoning for Long Video Understanding via Hierarchical Graph Memory and Agentic Retrieval Mechanism
• LongVILA: Scaling Long-Context Visual Language Models for Long Videos
• Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning?
• EvoTest: Evolutionary Test-Time Learning for Self-Improving Agentic Systems
• CASCADE: Cumulative Agentic Skill Creation through Autonomous Development and Evolution
• VideoRAG: Retrieval-Augmented Generation over Video Corpus
• SoK: Agentic Skills -- Beyond Tool Use in LLM Agents
• Meta-Harness: End-to-End Optimization of Model Harnesses
• LLaVA-OneVision: Easy Visual Task Transfer
• VideoChat: Chat-Centric Video Understanding
• SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
• Visual Contrastive Self-Distillation
• VideoSeek: Long-Horizon Video Agent with Tool-Guided Seeking
• Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills
• AlphaEvolve: A coding agent for scientific and algorithmic discovery
• MR. Video: "MapReduce" is the Principle for Long Video Understanding
• LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding

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