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Kuang Wang

2 accepted papers

2026

CATCH: A Controllable Theme Detection Framework with Contextualized Clustering and Hierarchical Generation

AAAI 2026technical

Theme detection is a fundamental task in user-centric dialogue systems, aiming to identify the latent topic of each utterance without relying on predefined schemas. Unlike intent induction, which operates within fixed label spaces, theme detection requires cross-dialogue consistency and alignment wi

Cited by 0SourcePDFScholar
2025

Know You First and Be You Better: Modeling Human-Like User Simulators via Implicit Profiles

ACL 2025long

User simulators are crucial for replicating human interactions with dialogue systems, supporting both collaborative training and automatic evaluation, especially for large language models (LLMs). However, current role-playing methods face challenges such as a lack of utterance-level authenticity and…