activity
20232025
most citedJoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learning

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2025

FReM: A Flexible Reasoning Mechanism for Balancing Quick and Slow Thinking in Long-Context Question Answering

Zhengyi Zhao, Shubo Zhang, Zezhong Wang +3

Long-context question-answering (LCQA) systems have greatly benefited from the powerful reasoning capabilities of large language models (LLMs), which can be categorized into slow a…

cs.HC2024

Gen4DS: Workshop on Data Storytelling in an Era of Generative AI

Xingyu Lan, Leni Yang, Zezhong Wang +3

Storytelling is an ancient and precious human ability that has been rejuvenated in the digital age. Over the last decade, there has been a notable surge in the recognition and appl…

cs.CL20241 cited

PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answering

Yiming Du, Hongru Wang, Zhengyi Zhao +5

Long-term memory plays a critical role in personal interaction, considering long-term memory can better leverage world knowledge, historical information, and preferences in dialogu…

cs.CL20233 cited

JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learning

Wai-Chung Kwan, Huimin Wang, Hongru Wang +4

Dialogue policy learning (DPL) is a crucial component of dialogue modelling. Its primary role is to determine the appropriate abstract response, commonly referred to as the "dialog…

cs.CL20231 cited

Towards Robust Personalized Dialogue Generation via Order-Insensitive Representation Regularization

Liang Chen, Hongru Wang, Yang Deng +3

Generating persona consistent dialogue response is important for developing an intelligent conversational agent. Recent works typically fine-tune large-scale pre-trained models on…