5 papers
OmniSelect: Dynamic Modality-Aware Token Compression for Efficient Omni-modal Large Language Models
Morunliu Yang, Ruotao Xu, Le Li +6
Omnimodal large language models (OmniLLMs) have recently gained increasing attention for unified audio-video understanding. However, processing long multimodal token sequences intr…
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…
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…
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…
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…