4 citations · 5 across the 7 of their papers we have counts for
7 papers · 1 filter
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…
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…
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…
An Empirical Bayes Framework for Open-Domain Dialogue Generation
Jing Yang Lee, Kong Aik Lee, Woon-Seng Gan
To engage human users in meaningful conversation, open-domain dialogue agents are required to generate diverse and contextually coherent dialogue. Despite recent advancements, whic…
Partially Randomizing Transformer Weights for Dialogue Response Diversity
Jing Yang Lee, Kong Aik Lee, Woon-Seng Gan
Despite recent progress in generative open-domain dialogue, the issue of low response diversity persists. Prior works have addressed this issue via either novel objective functions…
Improving Contextual Coherence in Variational Personalized and Empathetic Dialogue Agents
Jing Yang Lee, Kong Aik Lee, Woon Seng Gan
In recent years, latent variable models, such as the Conditional Variational Auto Encoder (CVAE), have been applied to both personalized and empathetic dialogue generation. Prior w…