Answering Natural Language Questions via Phrasal Semantic Parsing. - Kun Xu 005; Sheng Zhang 012; Yansong Feng 002; Dongyan Zhao 001 (NLPCC, 2014)

What Is the Longest River in the USA? Semantic Parsing for Aggregation Questions. - Kun Xu 005; Sheng Zhang 012; Yansong Feng 002; Songfang Huang; Dongyan Zhao 001 (AAAI, 2015)

Semantic Interpretation of Superlative Expressions via Structured Knowledge Bases. - Sheng Zhang 012; Yansong Feng 002; Songfang Huang; Kun Xu 005; Zhe Han; Dongyan Zhao 001 (ACL (2), 2015)

Universal Decompositional Semantics on Universal Dependencies. - Aaron Steven White; Dee Ann Reisinger; Keisuke Sakaguchi; Tim Vieira; Sheng Zhang 012; Rachel Rudinger; Kyle Rawlins; Benjamin Van Durme (EMNLP, 2016)

MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models. - Sheng Zhang 012; Kevin Duh; Benjamin Van Durme (EACL (2), 2017)

Selective Decoding for Cross-lingual Open Information Extraction. - Sheng Zhang 012; Kevin Duh; Benjamin Van Durme (IJCNLP(1), 2017)

An Evaluation of PredPatt and Open IE via Stage 1 Semantic Role Labeling. - Sheng Zhang 012; Rachel Rudinger; Benjamin Van Durme (IWCS(2), 2017)

Ordinal Common-sense Inference. - Sheng Zhang 012; Rachel Rudinger; Kevin Duh; Benjamin Van Durme (Trans. Assoc. Comput. Linguistics, 2017)

Neural-Davidsonian Semantic Proto-role Labeling. - Rachel Rudinger; Adam R. Teichert; Ryan Culkin; Sheng Zhang 012; Benjamin Van Durme (EMNLP, 2018)

Cross-lingual Decompositional Semantic Parsing. - Sheng Zhang 012; Xutai Ma; Rachel Rudinger; Kevin Duh; Benjamin Van Durme (EMNLP, 2018)

Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction. - Hongyuan Mei; Sheng Zhang 012; Kevin Duh; Benjamin Van Durme (*SEM@NAACL-HLT, 2018)

Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification Thresholds. - Sheng Zhang 012; Kevin Duh; Benjamin Van Durme (*SEM@NAACL-HLT, 2018)

Cross-lingual Semantic Parsing. - Sheng Zhang 012; Kevin Duh; Benjamin Van Durme (CoRR, 2018)

ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension. - Sheng Zhang 012; Xiaodong Liu 003; Jingjing Liu 001; Jianfeng Gao 001; Kevin Duh; Benjamin Van Durme (CoRR, 2018)

AMR Parsing as Sequence-to-Graph Transduction. - Sheng Zhang 012; Xutai Ma; Kevin Duh; Benjamin Van Durme (ACL (1), 2019)

Broad-Coverage Semantic Parsing as Transduction. - Sheng Zhang 012; Xutai Ma; Kevin Duh; Benjamin Van Durme (EMNLP/IJCNLP (1), 2019)

Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. - Shuohang Wang; Sheng Zhang 012; Yelong Shen; Xiaodong Liu 003; Jingjing Liu 001; Jianfeng Gao 001; Jing Jiang 001 (NAACL-HLT (1), 2019)

Deep Generalized Canonical Correlation Analysis. - Adrian Benton; Huda Khayrallah; Biman Gujral; Dee Ann Reisinger; Sheng Zhang 012; Raman Arora (RepL4NLP@ACL, 2019)

Transductive Parsing for Universal Decompositional Semantics. - Elias Stengel-Eskin; Aaron Steven White; Sheng Zhang 012; Benjamin Van Durme (CoRR, 2019)

Universal Decompositional Semantic Parsing. - Elias Stengel-Eskin; Aaron Steven White; Sheng Zhang 012; Benjamin Van Durme (ACL, 2020)

The Universal Decompositional Semantics Dataset and Decomp Toolkit. - Aaron Steven White; Elias Stengel-Eskin; Siddharth Vashishtha; Venkata Subrahmanyan Govindarajan; Dee Ann Reisinger; Tim Vieira; Keisuke Sakaguchi; Sheng Zhang 012; Francis Ferraro; Rachel Rudinger; Kyle Rawlins; Benjamin Van Durme (LREC, 2020)

Modular Self-Supervision for Document-Level Relation Extraction. - Sheng Zhang 012; Cliff Wong; Naoto Usuyama; Sarthak Jain; Tristan Naumann; Hoifung Poon (EMNLP (1), 2021)

Knowledge-Rich Self-Supervised Entity Linking. - Sheng Zhang 012; Hao Cheng 002; Shikhar Vashishth; Cliff Wong; Jinfeng Xiao; Xiaodong Liu 003; Tristan Naumann; Jianfeng Gao 001; Hoifung Poon (CoRR, 2021)

Joint Universal Syntactic and Semantic Parsing. - Elias Stengel-Eskin; Kenton W. Murray; Sheng Zhang 012; Aaron Steven White; Benjamin Van Durme (Trans. Assoc. Comput. Linguistics, 2021)

Knowledge-Rich Self-Supervision for Biomedical Entity Linking. - Sheng Zhang 012; Hao Cheng 002; Shikhar Vashishth; Cliff Wong; Jinfeng Xiao; Xiaodong Liu 003; Tristan Naumann; Jianfeng Gao 001; Hoifung Poon (EMNLP (Findings), 2022)

Importance of Synthesizing High-quality Data for Text-to-SQL Parsing. - Yiyun Zhao; Jiarong Jiang; Yiqun Hu; Wuwei Lan; Henry Zhu; Anuj Chauhan; Alexander Hanbo Li; Lin Pan 003; Jun Wang 122; Chung-Wei Hang; Sheng Zhang 012; Marvin Dong; et al. (CoRR, 2022)

BioGPT: generative pre-trained transformer for biomedical text generation and mining. - Renqian Luo; Liai Sun; Yingce Xia; Tao Qin 001; Sheng Zhang 012; Hoifung Poon; Tie-Yan Liu (Briefings Bioinform., 2022)

Interactive Span Recommendation for Biomedical Text. - Louis Blankemeier; Theodore Zhao; Robert Tinn; Sid Kiblawi; Yu Gu 017; Akshay Chaudhari; Hoifung Poon; Sheng Zhang 012; Mu Wei; Joseph Preston (ClinicalNLP@ACL, 2023)

Continual Contrastive Finetuning Improves Low-Resource Relation Extraction. - Wenxuan Zhou; Sheng Zhang 012; Tristan Naumann; Muhao Chen 001; Hoifung Poon (ACL (1), 2023)

Context-faithful Prompting for Large Language Models. - Wenxuan Zhou; Sheng Zhang 012; Hoifung Poon; Muhao Chen 001 (EMNLP (Findings), 2023)

Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning. - Sheng Zhang 012; Hao Cheng 002; Jianfeng Gao 001; Hoifung Poon (ICLR, 2023)

Precision Health in the Age of Large Language Models. - Hoifung Poon; Tristan Naumann; Sheng Zhang 012; Javier González Hernández (KDD, 2023)

Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology. - Cliff Wong; Sheng Zhang 012; Yu Gu 017; Christine Moung; Jacob Abel; Naoto Usuyama; Roshanthi Weerasinghe; Brian Piening; Tristan Naumann; Carlo Bifulco; Hoifung Poon (MLHC, 2023)

LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day. - Chunyuan Li; Cliff Wong; Sheng Zhang 012; Naoto Usuyama; Haotian Liu; Jianwei Yang; Tristan Naumann; Hoifung Poon; Jianfeng Gao 001 (NeurIPS, 2023)

Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing. - Sheng Zhang 012; Yanbo Xu; Naoto Usuyama; Jaspreet Bagga; Robert Tinn; Sam Preston; Rajesh Rao; Mu Wei; Naveen Valluri; Cliff Wong; Matthew P. Lungren; Tristan Naumann; et al. (CoRR, 2023)

Benchmarking Diverse-Modal Entity Linking with Generative Models. - Sijia Wang; Alexander Hanbo Li; Henry Zhu; Sheng Zhang 012; Chung-Wei Hang; Pramuditha Perera; Jie Ma 005; William Wang 001; Zhiguo Wang; Vittorio Castelli; Bing Xiang; Patrick Ng (CoRR, 2023)

Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events. - Yu Gu 017; Sheng Zhang 012; Naoto Usuyama; Yonas Woldesenbet; Cliff Wong; Praneeth Sanapathi; Mu Wei; Naveen Valluri; Erika Strandberg; Tristan Naumann; Hoifung Poon (CoRR, 2023)

BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys. - Yu Gu 017; Jianwei Yang; Naoto Usuyama; Chunyuan Li; Sheng Zhang 012; Matthew P. Lungren; Jianfeng Gao 001; Hoifung Poon (CoRR, 2023)

Enhancing Medical Text Evaluation with GPT-4. - Yiqing Xie; Sheng Zhang 012; Hao Cheng 002; Zelalem Gero; Cliff Wong; Tristan Naumann; Hoifung Poon (CoRR, 2023)

Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine. - Harsha Nori; Yin Tat Lee; Sheng Zhang 012; Dean Carignan; Richard Edgar; Nicolò Fusi; Nicholas King; Jonathan Larson; Yuanzhi Li; Weishung Liu; Renqian Luo; Scott Mayer McKinney; et al. (CoRR, 2023)

Compositional Zero-Shot Domain Transfer with Text-to-Text Models. - Fangyu Liu 001; Qianchu Liu; Shruthi Bannur; Fernando Pérez-García; Naoto Usuyama; Sheng Zhang 012; Tristan Naumann; Aditya V. Nori; Hoifung Poon; Javier Alvarez-Valle; Ozan Oktay; Stephanie L. Hyland (Trans. Assoc. Comput. Linguistics, 2023)

DocLens: Multi-aspect Fine-grained Medical Text Evaluation. - Yiqing Xie; Sheng Zhang 012; Hao Cheng 002; Pengfei Liu; Zelalem Gero; Cliff Wong; Tristan Naumann; Hoifung Poon; Carolyn P. Rosé (ACL (1), 2024)

mDPO: Conditional Preference Optimization for Multimodal Large Language Models. - Fei Wang 060; Wenxuan Zhou; James Y. Huang; Nan Xu; Sheng Zhang 012; Hoifung Poon; Muhao Chen 001 (EMNLP, 2024)

UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition. - Wenxuan Zhou; Sheng Zhang 012; Yu Gu 017; Muhao Chen 001; Hoifung Poon (ICLR, 2024)

T-Rex: Text-assisted Retrosynthesis Prediction. - Yifeng Liu 004; Hanwen Xu; Tangqi Fang; Haocheng Xi; Zixuan Liu 001; Sheng Zhang 012; Hoifung Poon; Sheng Wang 012 (CoRR, 2024)

Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries. - Zelalem Gero; Chandan Singh; Yiqing Xie; Sheng Zhang 012; Tristan Naumann; Jianfeng Gao 001; Hoifung Poon (CoRR, 2024)

Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging. - Juan Manuel Zambrano Chaves; Shih-Cheng Huang; Yanbo Xu; Hanwen Xu; Naoto Usuyama; Sheng Zhang 012; Fei Wang 060; Yujia Xie; Mahmoud Khademi; Ziyi Yang; Hany Hassan Awadalla; Julia Gong; et al. (CoRR, 2024)

MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering. - Robert Osazuwa Ness; Katie Matton; Hayden S. Helm; Sheng Zhang 012; Junaid Bajwa; Carey E. Priebe; Eric Horvitz (CoRR, 2024)

From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond. - Harsha Nori; Naoto Usuyama; Nicholas King; Scott Mayer McKinney; Xavier Fernandes; Sheng Zhang 012; Eric Horvitz (CoRR, 2024)

MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. - Fei Wang 060; Xingyu Fu; James Y. Huang; Zekun Li 007; Qin Liu 010; Xiaogeng Liu; Mingyu Derek Ma; Nan Xu; Wenxuan Zhou; Kai Zhang 008; Tianyi Lorena Yan; Wenjie Jacky Mo; et al. (ICLR, 2025)

From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning. - Nan Xu; Fei Wang 060; Sheng Zhang 012; Hoifung Poon; Muhao Chen 001 (NAACL (Long Papers), 2025)

Offset Unlearning for Large Language Models. - James Y. Huang; Wenxuan Zhou; Fei Wang 060; Fred Morstatter; Sheng Zhang 012; Hoifung Poon; Muhao Chen 001 (Trans. Mach. Learn. Res., 2025)

Universal Abstraction: Harnessing Frontier Models to Structure Real-World Data at Scale. - Cliff Wong; Sam Preston; Qianchu Liu; Zelalem Gero; Jass Bagga; Sheng Zhang 012; Shrey Jain; Theodore Zhao; Yu Gu 017; Yanbo Xu; Sid Kiblawi; Roshanthi Weerasinghe; et al. (CoRR, 2025)

Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning. - Sheng Zhang 012; Qianchu Liu; Guanghui Qin; Tristan Naumann; Hoifung Poon (CoRR, 2025)

Semantic-Clipping: Efficient Vision-Language Modeling with Semantic-Guidedd Visual Selection. - Bangzheng Li; Fei Wang 060; Wenxuan Zhou; Nan Xu; Ben Zhou; Sheng Zhang 012; Hoifung Poon; Muhao Chen 001 (CoRR, 2025)

MetaScale: Test-Time Scaling with Evolving Meta-Thoughts. - Qin Liu 010; Wenxuan Zhou; Nan Xu; James Y. Huang; Fei Wang 060; Sheng Zhang 012; Hoifung Poon; Muhao Chen 001 (CoRR, 2025)

X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains. - Qianchu Liu; Sheng Zhang 012; Guanghui Qin; Timothy Ossowski; Yu Gu 017; Ying Jin; Sid Kiblawi; Sam Preston; Mu Wei; Paul Vozila; Tristan Naumann; Hoifung Poon (CoRR, 2025)

Exploring Scaling Laws for EHR Foundation Models. - Sheng Zhang 012; Qin Liu 010; Naoto Usuyama; Cliff Wong; Tristan Naumann; Hoifung Poon (CoRR, 2025)

Generative Medical Event Models Improve with Scale. - Shane Waxler; Paul Blazek; Davis White; Daniel Sneider; Kevin Chung; Mani Nagarathnam; Patrick Williams; Hank Voeller; Karen Wong; Matthew Swanhorst; Sheng Zhang 012; Naoto Usuyama; et al. (CoRR, 2025)