3 papers
cs.CL2026
Modeling the One-to-Many Property in Open-Domain Dialogue with LLMs
Jing Yang Lee, Kong-Aik Lee, Woon-Seng Gan
Open-domain Dialogue (OD) exhibits a one-to-many (o2m) property, whereby multiple appropriate responses exist for a single dialogue context. Despite prior research showing that mod…
cs.CL2025
DocTalk: Scalable Graph-based Dialogue Synthesis for Enhancing LLM Conversational Capabilities
Jing Yang Lee, Hamed Bonab, Nasser Zalmout +6
Large Language Models (LLMs) are increasingly employed in multi-turn conversational tasks, yet their pre-training data predominantly consists of continuous prose, creating a potent…
cs.CL2024
Redefining Proactivity for Information Seeking Dialogue
Jing Yang Lee, Seokhwan Kim, Kartik Mehta +3
Information-Seeking Dialogue (ISD) agents aim to provide accurate responses to user queries. While proficient in directly addressing user queries, these agents, as well as LLMs in…