ZHONGRONG ZUO — accepted AI-conference papers

2026

Video-KTR: Reinforcing Video Reasoning via Key Token Attribution

Ziyue Wang, Sheng Jin, ZHONGRONG ZUO, Jiawei Wu, Han Qiu, Qi She +2

ICLR 2026poster

Reinforcement learning (RL) has shown strong potential for enhancing reasoning in multimodal large language models (MLLMs), yet existing video reasoning methods often rely on coarse sequence-level rewards or single-factor token selection. Such approaches neglect fine-grained links among visual input…

Cited by 5 Source ↗code ↗Scholar ↗

2025

Frame-Voyager: Learning to Query Frames for Video Large Language Models

Sicheng Yu, CHENGKAI JIN, Huanyu Wang, Zhenghao Chen, Sheng Jin, ZHONGRONG ZUO +6

ICLR 2025poster

Video Large Language Models (Video-LLMs) have made remarkable progress in video understanding tasks. However, they are constrained by the maximum length of input tokens, making it impractical to input entire videos. Existing frame selection approaches, such as uniform frame sampling and text-frame r…

Cited by 8 Source ↗PDF ↗Scholar ↗