Author

Bin Li

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#artificial intelligence May 2026

Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing

EBM-RL (Eye--Brain--Mouth Reinforcement Learning), a decoupled GRPO-based framework that separates observation (), reasoning (), and utterance generation, mimics the human See-Think-Speak process, enabling the model to ground dialogue in visual perception before reasoning and response generation.

Miaosen Wang, Yu-Ling Shi, Yijiang Li et al. · arXiv.org · 0 citations

Review Jul 2026

Overview of the NLPCC 2026 Shared Task 1: Difficulty-Aware Multilingual and Multimodal Medical Instructional Video Understanding Evaluation

Difficulty-Aware Medical Instructional Video Question Answering (DA-MIVQA) provides a practical benchmark for evaluating medical instructional video question answering systems under varying textual, visual, temporal, and procedural reasoning requirements.

Shenxi Liu, Kan Li, Mingyang Zhao et al. · arXiv.org · 2 citations · ⚡1

Jul 2026

OSEF: One-Step Evidence Fusion for Cross-Video Scene Procedure Planning

This work introduces Cross-Video Scene Procedure Planning (CVSPP): given an answer-redacted start-goal query and K candidate videos, a model must retrieve the supporting video, localize the relevant window, and predict the action sequence.

Zhentong Ye, Lei Zhang, Sijia Zhou et al. · arXiv.org · 0 citations