Pengbin Feng — accepted AI-conference papers

2026

CACR: Reinforcing Temporal Answer Grounding in Instructional Video via Candidate-Aware Causal Reasoning

Muge Qi, Rong Fu, Pengbin Feng, Xianda Li, Yu Cai, Yifu Guo +4

ICML 2026poster

The task of temporal answer grounding in instructional videos (TAGV), which aims to locate precise video segments that respond to natural language queries, is increasingly important for direct video answer retrieval. This task remains challenging due to the need to comprehend semantically complex qu…

Cited by 0 Source ↗Scholar ↗

2026

Group Cognition Learning: Making Everything Better Through Controlled Two-Stage Agents Collaboration

Chunlei Meng, Pengbin Feng, Rong Fu, Hoi Leong Lee, Xiaojing Du, Yuying Li +4

ICML 2026poster

Centralized multimodal learning commonly compresses language, acoustic, and visual signals into a single fused representation for prediction. While effective, this paradigm suffers from two limitations: modality dominance, where optimization gravitates towards the path of least resistance, ignoring …

Cited by 0 Source ↗Scholar ↗