Chenhan Yuan

According to our database, Chenhan Yuan authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Temporal relation extraction with contrastive prototypical sampling.

Chenhan Yuan, Qianqian Xie, Sophia Ananiadou

Knowl. Based Syst., 2024

Are Large Language Models True Healthcare Jacks-of-All-Trades? Benchmarking Across Health Professions Beyond Physician Exams.

Zheheng Luo, Chenhan Yuan, Qianqian Xie, Sophia Ananiadou

CoRR, 2024

No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks.

Gang Hu, Ke Qin, Chenhan Yuan, Min Peng, Alejandro Lopez-Lira, Benyou Wang, Sophia Ananiadou, Wanlong Yu, Jimin Huang, Qianqian Xie

CoRR, 2024

The FinBen: An Holistic Financial Benchmark for Large Language Models.

Qianqian Xie, Weiguang Han, Zhengyu Chen, Ruoyu Xiang, Xiao Zhang, Yueru He, Mengxi Xiao, Dong Li, Yongfu Dai, Duanyu Feng, Yijing Xu, Haoqiang Kang, Ziyan Kuang, Chenhan Yuan, Kailai Yang, Zheheng Luo, Tianlin Zhang, Zhiwei Liu, Guojun Xiong, Zhiyang Deng, Yuechen Jiang, Zhiyuan Yao, Haohang Li, Yangyang Yu, Gang Hu, Jiajia Huang, Xiao-Yang Liu, Alejandro Lopez-Lira, Benyou Wang, Yanzhao Lai, Hao Wang, Min Peng, Sophia Ananiadou, Jimin Huang

CoRR, 2024

Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English.

Xiao Zhang, Ruoyu Xiang, Chenhan Yuan, Duanyu Feng, Weiguang Han, Alejandro Lopez-Lira, Xiao-Yang Liu, Sophia Ananiadou, Min Peng, Jimin Huang, Qianqian Xie

CoRR, 2024

Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models.

Chenhan Yuan, Qianqian Xie, Jimin Huang, Sophia Ananiadou

Proceedings of the ACM on Web Conference 2024, 2024

Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English.

Xiao Zhang, Ruoyu Xiang, Chenhan Yuan, Duanyu Feng, Weiguang Han, Alejandro Lopez-Lira, Xiao-Yang Liu, Meikang Qiu, Sophia Ananiadou, Min Peng, Jimin Huang, Qianqian Xie

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model.

Chenhan Yuan, Fei Huang, Ru Peng, Keming Lu, Bowen Yu, Chang Zhou, Jingren Zhou

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

GradXKG: A Universal Explain-per-use Temporal Knowledge Graph Explainer.

Chenhan Yuan, Hoda Eldardiry

CoRR, 2023

Zero-shot Temporal Relation Extraction with ChatGPT.

Chenhan Yuan, Qianqian Xie, Sophia Ananiadou

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

2022

Clustering-based Unsupervised Generative Relation Extraction.

Chenhan Yuan, Ryan A. Rossi, Andrew Katz, Hoda Eldardiry

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Unsupervised Relation Extraction: A Variational Autoencoder Approach.

Chenhan Yuan, Hoda Eldardiry

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Personalized Sentence Generation using Generative Adversarial Networks with Author-Specific Word Usage.

Chenhan Yuan, Yi-Chin Huang

Computación y Sistemas, 2020

Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction.

Chenhan Yuan, Ryan A. Rossi, Andrew Katz, Hoda Eldardiry

CoRR, 2020

Efficient text generation of user-defined topic using generative adversarial networks.

Chenhan Yuan, Yi-Chin Huang, Cheng-Hung Tsai

CoRR, 2020

Personalized End-to-End Mandarin Speech Synthesis using Small-sized Corpus.

Chenhan Yuan, Yi-Chin Huang

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020