38 citations · 137 across the 48 of their papers we have counts for
49 papers
Ask-before-Plan: Proactive Language Agents for Real-World Planning
Xuan Zhang, Yang Deng, Zifeng Ren +2
The evolution of large language models (LLMs) has enhanced the planning capabilities of language agents in diverse real-world scenarios. Despite these advancements, the potential o…
Hello Again! LLM-powered Personalized Agent for Long-term Dialogue
Hao Li, Chenghao Yang, An Zhang +3
Open-domain dialogue systems have seen remarkable advancements with the development of large language models (LLMs). Nonetheless, most existing dialogue systems predominantly focus…
CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models
Tong Zhang, Peixin Qin, Yang Deng +6
Large language models (LLMs) are increasingly used to meet user information needs, but their effectiveness in dealing with user queries that contain various types of ambiguity rema…
STYLE: Improving Domain Transferability of Asking Clarification Questions in Large Language Model Powered Conversational Agents
Yue Chen, Chen Huang, Yang Deng +4
Equipping a conversational search engine with strategies regarding when to ask clarification questions is becoming increasingly important across various domains. Attributing to the…
Co-Matching: Towards Human-Machine Collaborative Legal Case Matching
Chen Huang, Xinwei Yang, Yang Deng +3
Recent efforts have aimed to improve AI machines in legal case matching by integrating legal domain knowledge. However, successful legal case matching requires the tacit knowledge…
Concept -- An Evaluation Protocol on Conversational Recommender Systems with System-centric and User-centric Factors
Chen Huang, Peixin Qin, Yang Deng +3
The conversational recommendation system (CRS) has been criticized regarding its user experience in real-world scenarios, despite recent significant progress achieved in academia.…