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

3 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL20241 cited

UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval

Hongru Wang, Boyang Xue, Baohang Zhou +5

Conversational retrieval refers to an information retrieval system that operates in an iterative and interactive manner, requiring the retrieval of various external resources, such…

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.CL2023

Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment

Boyang Xue, Weichao Wang, Hongru Wang +7

Pretrained language models (PLMs) based knowledge-grounded dialogue systems are prone to generate responses that are factually inconsistent with the provided knowledge source. In s…

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…