VideoEvolve: Evolving Agent Harnesses for Video Temporal Grounding

arXiv:2610.01766 · cs.AI, cs.CV · Submitted 2026-10-01 · Read on arXiv

cs.AI, cs.CV

Submitted: 2026-10-01

Updated: 2026-10-01

Code: https://github.com/bingjunluo/VideoEvolve

Terminology

• Grounding — 56× in this paper · explained in 3 episodes
• Benchmark — 17× in this paper · explained in 2 episodes
• Verification — 6× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 5× in this paper
• Frozen model — 5× in this paper · explained in 3 episodes
• Trace — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Instruction Tuning — 2× in this paper · explained in 2 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Adaptive Reasoning — 1× in this paper · explained in 2 episodes
• Agentic Approaches — 1× in this paper · explained in 1 episode
• Agentic System — 1× in this paper · explained in 2 episodes
• Elias — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• LoRA Adapters — 1× in this paper · explained in 3 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Verifiable Rewards — 1× in this paper · explained in 2 episodes

Sources

• VTimeLLM: Empower LLM to Grasp Video Moments
• EvoGround: Self-Evolving Video Agents for Video Temporal Grounding
• Meta-Harness: End-to-End Optimization of Model Harnesses
• VideoMind: A Chain-of-LoRA Agent for Temporal-Grounded Video Reasoning
• TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding
• Self-Harness: Harnesses That Improve Themselves
• Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents
• DART: Difficulty-Adaptive Routing for Zero-Shot Video Temporal Grounding
• Training-free Video Temporal Grounding using Large-scale Pre-trained Models

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