most citedBehavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommender Systems

21 citations · 22 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2025

ReGeS: Reciprocal Retrieval-Generation Synergy for Conversational Recommender Systems

Dayu Yang, Hui Fang

Connecting conversation with external domain knowledge is vital for conversational recommender systems (CRS) to correctly understand user preferences. However, existing solutions e…

cs.LG2024★ 1 cited

Enhancing Table Representations with LLM-powered Synthetic Data Generation

Dayu Yang, Natawut Monaikul, Amanda Ding +3

In the era of data-driven decision-making, accurate table-level representations and efficient table recommendation systems are becoming increasingly crucial for improving table man…

cs.IR2024

Toward Automatic Group Membership Annotation for Group Fairness Evaluation

Fumian Chen, Dayu Yang, Hui Fang

With the increasing research attention on fairness in information retrieval systems, more and more fairness-aware algorithms have been proposed to ensure fairness for a sustainable…

cs.IR2024★ 21 cited

Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommender Systems

Dayu Yang, Fumian Chen, Hui Fang

Large Language Models (LLMs) have demonstrated great potential in Conversational Recommender Systems (CRS). However, the application of LLMs to CRS has exposed a notable discrepanc…

q-fin.ST2024

A Deep Learning Method for Predicting Mergers and Acquisitions: Temporal Dynamic Industry Networks

Dayu Yang

Merger and Acquisition (M&A) activities play a vital role in market consolidation and restructuring. For acquiring companies, M&A serves as a key investment strategy, with one prim…