Sheng Zhang
Orcid: 0000-0003-3672-5436Affiliations:
- Microsoft Research, Redmond, WA, USA
- Johns Hopkins University, Baltimore, MD, USA (PhD 2020)
According to our database1,
Sheng Zhang
authored at least 58 papers
between 2014 and 2024.
Collaborative distances:
Collaborative distances:
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Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on linkedin.com
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on orcid.org
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on github.com
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on cs.jhu.edu
On csauthors.net:
Bibliography
2024
From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond.
CoRR, 2024
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning.
CoRR, 2024
CoRR, 2024
CoRR, 2024
MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering.
CoRR, 2024
Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging.
CoRR, 2024
CoRR, 2024
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Trans. Assoc. Comput. Linguistics, 2023
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine.
CoRR, 2023
BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys.
CoRR, 2023
Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events.
CoRR, 2023
CoRR, 2023
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology.
Proceedings of the Machine Learning for Healthcare Conference, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023
2022
BioGPT: generative pre-trained transformer for biomedical text generation and mining.
Briefings Bioinform., November, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
2021
Trans. Assoc. Comput. Linguistics, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
2020
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Proceedings of the 4th Workshop on Representation Learning for NLP, 2019
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension.
CoRR, 2018
Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification Thresholds.
Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018
Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction.
Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
2017
Proceedings of the IWCS 2017 - 12th International Conference on Computational Semantics - Short papers, Montpellier, France, September 19, 2017
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017
MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017
2016
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
2015
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Proceedings of the Natural Language Processing and Chinese Computing, 2014