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cs.CL2026

When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math Reasoning

Ruotao Xu, Yixin Ji, Yu Luo +5

Large reasoning models (LRMs) have achieved strong performance enhancement through scaling test time computation, but due to the inherent limitations of the underlying language mod…

cs.CL2025

Improving Dialogue Discourse Parsing through Discourse-aware Utterance Clarification

Yaxin Fan, Peifeng Li, Qiaoming Zhu

Dialogue discourse parsing aims to identify and analyze discourse relations between the utterances within dialogues. However, linguistic features in dialogues, such as omission and…

cs.CL2025

Enhancing Goal-oriented Proactive Dialogue Systems via Consistency Reflection and Correction

Didi Zhang, Yaxin Fan, Peifeng Li +1

Goal-oriented proactive dialogue systems are designed to guide user conversations seamlessly towards specific objectives by planning a goal-oriented path. However, previous researc…

cs.CL2025

Two-stage Incomplete Utterance Rewriting on Editing Operation

Zhiyu Cao, Peifeng Li, Qiaoming Zhu +1

Previous work on Incomplete Utterance Rewriting (IUR) has primarily focused on generating rewritten utterances based solely on dialogue context, ignoring the widespread phenomenon…

cs.CL2024

Quantifying Self-diagnostic Atomic Knowledge in Chinese Medical Foundation Model: A Computational Analysis

Yaxin Fan, Feng Jiang, Benyou Wang +2

Foundation Models (FMs) have the potential to revolutionize the way users self-diagnose through search engines by offering direct and efficient suggestions. Recent studies primaril…