4 papers
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…
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…
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…
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…