Chenhan Yuan

Orcid: 0000-0001-9667-0460

According to our database1, Chenhan Yuan authored at least 20 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2020
2021
2022
2023
2024
2025
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5
10
7
1
3
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4
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1
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
ELAINE-medLLM: Lightweight English Japanese Chinese Trilingual Large Language Model for Bio-medical Domain.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Temporal relation extraction with contrastive prototypical sampling.
Knowl. Based Syst., 2024

VTechAGP: An Academic-to-General-Audience Text Paraphrase Dataset and Benchmark Models.
CoRR, 2024

CAST: Corpus-Aware Self-similarity Enhanced Topic modelling.
CoRR, 2024

Are Large Language Models True Healthcare Jacks-of-All-Trades? Benchmarking Across Health Professions Beyond Physician Exams.
CoRR, 2024

No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks.
CoRR, 2024

The FinBen: An Holistic Financial Benchmark for Large Language Models.
CoRR, 2024

Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English.
CoRR, 2024

Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models.
Proceedings of the ACM on Web Conference 2024, 2024

FinBen: A Holistic Financial Benchmark for Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English.
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.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
GradXKG: A Universal Explain-per-use Temporal Knowledge Graph Explainer.
CoRR, 2023

Zero-shot Temporal Relation Extraction with ChatGPT.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

2022
Clustering-based Unsupervised Generative Relation Extraction.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Unsupervised Relation Extraction: A Variational Autoencoder Approach.
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.
Computación y Sistemas, 2020

Reinforcement Learning-based N-ary Cross-Sentence Relation Extraction.
CoRR, 2020

Efficient text generation of user-defined topic using generative adversarial networks.
CoRR, 2020

Personalized End-to-End Mandarin Speech Synthesis using Small-sized Corpus.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2020


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