Muge Qi — 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…

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2025

Towards Harmonized Uncertainty Estimation for Large Language Models

Rui Li, Jing Long, Muge Qi, Heming Xia, Lei Sha, Peiyi Wang +1

ACL 2025long

To facilitate robust and trustworthy deployment of large language models (LLMs), it is essential to quantify the reliability of their generations through uncertainty estimation. While recent efforts have made significant advancements by leveraging the internal logic and linguistic features of LLMs t…

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