Reflecting on Experiences for Response Generation. - Chenchen Ye 001; Lizi Liao; Suyu Liu; Tat-Seng Chua (ACM Multimedia, 2022)

Structured and Natural Responses Co-generation for Conversational Search. - Chenchen Ye 001; Lizi Liao; Fuli Feng; Wei Ji 008; Tat-Seng Chua (SIGIR, 2022)

Context-aware Event Forecasting via Graph Disentanglement. - Yunshan Ma; Chenchen Ye 001; Zijian Wu 003; Xiang Wang 010; Yixin Cao 002; Tat-Seng Chua (KDD, 2023)

Structured, Complex and Time-complete Temporal Event Forecasting. - Yunshan Ma; Chenchen Ye 001; Zijian Wu 003; Xiang Wang 010; Yixin Cao 002; Liang Pang; Tat-Seng Chua (CoRR, 2023)

Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding. - Zhihan Zhang 003; Yixin Cao 002; Chenchen Ye 001; Yunshan Ma; Lizi Liao; Tat-Seng Chua (ACL (1), 2024)

GraphVis: Boosting LLMs with Visual Knowledge Graph Integration. - Yihe Deng; Chenchen Ye 001; Zijie Huang 002; Mingyu Derek Ma; Yiwen Kou; Wei Wang 010 (NeurIPS, 2024)

CliBench: Multifaceted Evaluation of Large Language Models in Clinical Decisions on Diagnoses, Procedures, Lab Tests Orders and Prescriptions. - Mingyu Derek Ma; Chenchen Ye 001; Yu Yan; Xiaoxuan Wang; Peipei Ping; Timothy S. Chang; Wei Wang 010 (CoRR, 2024)

MIRAI: Evaluating LLM Agents for Event Forecasting. - Chenchen Ye 001; Ziniu Hu; Yihe Deng; Zijie Huang 002; Mingyu Derek Ma; Yanqiao Zhu 001; Wei Wang 010 (CoRR, 2024)

A Comprehensive Evaluation of Large Language Models on Temporal Event Forecasting. - He Chang; Chenchen Ye 001; Zhulin Tao; Jie Wu; Zhengmao Yang; Yunshan Ma; Xianglin Huang; Tat-Seng Chua (CoRR, 2024)

Narrative Analysis of True Crime Podcasts With Knowledge Graph-Augmented Large Language Models. - Xinyi Leng; Jason Liang; Jack Mauro; Xu Wang; Andrea L. Bertozzi; James Chapman 007; Junyuan Lin; Bohan Chen; Chenchen Ye 001; Temple Daniel; P. Jeffrey Brantingham (CoRR, 2024)