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Zhigen Li

2 accepted papers

2025

ChatSOP: An SOP-Guided MCTS Planning Framework for Controllable LLM Dialogue Agents

ACL 2025long

Dialogue agents powered by Large Language Models (LLMs) show superior performance in various tasks. Despite the better user understanding and human-like responses, their **lack of controllability** remains a key challenge, often leading to unfocused conversations or task failure. To address this, we…

2022

Learning to Adapt to Low-Resource Paraphrase Generation

EMNLP 2022main

Paraphrase generation is a longstanding NLP task and achieves great success with the aid of large corpora. However, transferring a paraphrasing model to another domain encounters the problem of domain shifting especially when the data is sparse. At the same time, widely using large pre-trained langu…

Cited by 4SourcePDFScholar