activity
20202026
most citedEstimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems

253 citations · 414 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

LLMs Infer Cultural Context but Fail to Apply It When Responding

Yisong Miao, Jian Zhu, Vered Shwartz

Recent work has shown that LLMs overrepresent dominant cultures, particularly Western ones, while marginalizing others. We investigate whether this affects models' ability to gener…

cs.CL2025

Discursive Circuits: How Do Language Models Understand Discourse Relations?

Yisong Miao, Min-Yen Kan

Which components in transformer language models are responsible for discourse understanding? We hypothesize that sparse computational graphs, termed as discursive circuits, control…

cs.CL2022

Comparative Snippet Generation

Saurabh Jain, Yisong Miao, Min-Yen Kan

We model product reviews to generate comparative responses consisting of positive and negative experiences regarding the product. Specifically, we generate a single-sentence, compa…

cs.IR2020★ 161 cited

Interactive Path Reasoning on Graph for Conversational Recommendation

Wenqiang Lei, Gangyi Zhang, Xiangnan He +4

Traditional recommendation systems estimate user preference on items from past interaction history, thus suffering from the limitations of obtaining fine-grained and dynamic user p…

cs.IR2020★ 253 cited

Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems

Wenqiang Lei, Xiangnan He, Yisong Miao +4

Recommender systems are embracing conversational technologies to obtain user preferences dynamically, and to overcome inherent limitations of their static models. A successful Conv…