Yingya Li

According to our database1, Yingya Li authored at least 15 papers between 2017 and 2024.

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

Timeline

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Links

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Bibliography

2024
Evaluating the ChatGPT family of models for biomedical reasoning and classification.
J. Am. Medical Informatics Assoc., 2024

From explainable to interpretable deep learning for natural language processing in healthcare: how far from reality?
CoRR, 2024

2023
Measuring Pointwise $\mathcal{V}$-Usable Information In-Context-ly.
CoRR, 2023

Evaluation of ChatGPT Family of Models for Biomedical Reasoning and Classification.
CoRR, 2023

Can ChatGPT Understand Causal Language in Science Claims?
Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023

LIDA: Lexical-Based Imbalanced Data Augmentation for Content Moderation.
Proceedings of the 37th Pacific Asia Conference on Language, 2023

Measuring Pointwise \mathcalV-Usable Information In-Context-ly.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Advice Giving in Medical Research Literature.
Proceedings of the Information for a Better World: Shaping the Global Future - 17th International Conference, iConference 2022, Virtual Event, February 28, 2022

2021
Detecting Health Advice in Medical Research Literature.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Measuring Correlation-to-Causation Exaggeration in Press Releases.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Identifying Finding Sentences in Conclusion Subsections of Biomedical Abstracts.
Proceedings of the Information in Contemporary Society - 14th International Conference, 2019

Detecting Causal Language Use in Science Findings.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2017
Identifying Political Topics in Social Media Messages: A Lexicon-Based Approach.
Proceedings of the 8th International Conference on Social Media & Society, 2017

An NLP Analysis of Exaggerated Claims in Science News.
Proceedings of the 2017 Workshop: Natural Language Processing meets Journalism, 2017


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