activity
20212024
most citedChat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System

69 citations · 127 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL2024

KnowHalu: Hallucination Detection via Multi-Form Knowledge Based Factual Checking

Jiawei Zhang, Chejian Xu, Yu Gai +3

This paper introduces KnowHalu, a novel approach for detecting hallucinations in text generated by large language models (LLMs), utilizing step-wise reasoning, multi-formulation qu…

cs.AI20241 cited

Prompt Learning on Temporal Interaction Graphs

Xi Chen, Siwei Zhang, Yun Xiong +6

Temporal Interaction Graphs (TIGs) are widely utilized to represent real-world systems. To facilitate representation learning on TIGs, researchers have proposed a series of TIG mod…

cs.CL20231 cited

Unsupervised Multi-document Summarization with Holistic Inference

Haopeng Zhang, Sangwoo Cho, Kaiqiang Song +4

Multi-document summarization aims to obtain core information from a collection of documents written on the same topic. This paper proposes a new holistic framework for unsupervised…

cs.CL2023

Contrastive Hierarchical Discourse Graph for Scientific Document Summarization

Haopeng Zhang, Xiao Liu, Jiawei Zhang

The extended structural context has made scientific paper summarization a challenging task. This paper proposes CHANGES, a contrastive hierarchical graph neural network for extract…

cs.CL20233 cited

DiffuSum: Generation Enhanced Extractive Summarization with Diffusion

Haopeng Zhang, Xiao Liu, Jiawei Zhang

Extractive summarization aims to form a summary by directly extracting sentences from the source document. Existing works mostly formulate it as a sequence labeling problem by maki…

cs.IR202369 cited

Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System

Yunfan Gao, Tao Sheng, Youlin Xiang +3

Large language models (LLMs) have demonstrated their significant potential to be applied for addressing various application tasks. However, traditional recommender systems continue…