#artificial intelligence
May 2026
Learning Spatiotemporal Sensitivity in Video LLMs via Counterfactual Reinforcement Learning
This work proposes Counterfactual Relational Policy Optimization (CRPO), which explicitly trains Video LLMs to respond to controlled changes in the visual input, and introduces DyBench, a paired counterfactual benchmark with 3{,}014 videos and a strict pair-accuracy metric.
Da-Zhao Du, Jian Liu, Jia-Long Qin et al.
· arXiv.org · 1 citation