Sheng Zhang

Orcid: 0000-0003-3672-5436

Affiliations:
  • 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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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

mDPO: Conditional Preference Optimization for Multimodal Large Language Models.
CoRR, 2024

MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding.
CoRR, 2024

MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering.
CoRR, 2024

Offset Unlearning for Large Language Models.
CoRR, 2024

Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging.
CoRR, 2024

Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries.
CoRR, 2024

T-Rex: Text-assisted Retrosynthesis Prediction.
CoRR, 2024

UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

DocLens: Multi-aspect Fine-grained Medical Text Evaluation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Compositional Zero-Shot Domain Transfer with Text-to-Text Models.
Trans. Assoc. Comput. Linguistics, 2023

Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine.
CoRR, 2023

Enhancing Medical Text Evaluation with GPT-4.
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

Benchmarking Diverse-Modal Entity Linking with Generative Models.
CoRR, 2023

UNITE: A Unified Benchmark for Text-to-SQL Evaluation.
CoRR, 2023

Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing.
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

Precision Health in the Age of Large Language Models.
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

Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Context-faithful Prompting for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Continual Contrastive Finetuning Improves Low-Resource Relation Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Benchmarking Diverse-Modal Entity Linking with Generative Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Importance of Synthesizing High-quality Data for Text-to-SQL Parsing.
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

Interactive Span Recommendation for Biomedical Text.
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

Importance of Synthesizing High-quality Data for Text-to-SQL Parsing.
CoRR, 2022

Knowledge-Rich Self-Supervision for Biomedical Entity Linking.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Joint Universal Syntactic and Semantic Parsing.
Trans. Assoc. Comput. Linguistics, 2021

Knowledge-Rich Self-Supervised Entity Linking.
CoRR, 2021

Modular Self-Supervision for Document-Level Relation Extraction.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
The Universal Decompositional Semantics Dataset and Decomp Toolkit.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Universal Decompositional Semantic Parsing.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Transductive Parsing for Universal Decompositional Semantics.
CoRR, 2019

Deep Generalized Canonical Correlation Analysis.
Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

Unsupervised Deep Structured Semantic Models for Commonsense Reasoning.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Broad-Coverage Semantic Parsing as Transduction.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

AMR Parsing as Sequence-to-Graph Transduction.
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

Cross-lingual Semantic Parsing.
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

Cross-lingual Decompositional Semantic Parsing.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Neural-Davidsonian Semantic Proto-role Labeling.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Ordinal Common-sense Inference.
Trans. Assoc. Comput. Linguistics, 2017

An Evaluation of PredPatt and Open IE via Stage 1 Semantic Role Labeling.
Proceedings of the IWCS 2017 - 12th International Conference on Computational Semantics - Short papers, Montpellier, France, September 19, 2017

Selective Decoding for Cross-lingual Open Information Extraction.
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
Universal Decompositional Semantics on Universal Dependencies.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015
Semantic Interpretation of Superlative Expressions via Structured Knowledge Bases.
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

What Is the Longest River in the USA? Semantic Parsing for Aggregation Questions.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Answering Natural Language Questions via Phrasal Semantic Parsing.
Proceedings of the Natural Language Processing and Chinese Computing, 2014


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