Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data, NAACL 2024, Industry Track paper, Oral
Can ChatGPT replace traditional KBQA models? An in-depth analysis of the question answering performance of the GPT LLM family, ISWC 2023, Oral
An empirical study of pre-trained language models in simple knowledge graph question answering, WWW Journal 2023
Three stream based multi-level event contrastive learning for text-video event extraction, EMNLP 2023, Oral
MATEval: A Multi-Agent Discussion Framework for Advancing Open-Ended Text Evaluation, DASFAA 2024, Oral
HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding, AAAI 2025
Background
Currently a first-year CS Ph.D. student at the University of Illinois Chicago (UIC), supervised by Prof. Lu Cheng. Previously, received master’s degrees from Southeast University and Monash University (Double degree program), advised by Prof. Guilin Qi. Received Bachelor’s degree from Hefei University in June 2022. Research interests include Retrieval-Augmented Generation (RAG), LLMs with heterogeneous data (text, graphs, and tables), and Trustworthy ML: Uncertainty Quantification.
Miscellany
ACM-ICPC (International Collegiate Programming Contest), Asian Regional Contest (Shanghai Site and others), 2019-2020, 2 times Silver Medal
CCPC-Finals (China Collegiate Programming Contest National Finals), 2019, 21st place, Silver Medal
16th Baidu Star Programming Contest, National Semi-Finals, 2019, 154th place (154/13900+)
Anhui Province Collegiate Programming Contest, First Prize (2 times, 2019, 2020), Champion (1 time, 2020)