Helping Users Bootstrap Ontologies: An Empirical Investigation. - Yuhao Zhang 004; Tania Tudorache; Matthew Horridge; Mark A. Musen (CHI, 2015)

Stanford at TAC KBP 2016: Sealing Pipeline Leaks and Understanding Chinese. - Yuhao Zhang 004; Arun Tejasvi Chaganty; Ashwin Paranjape; Danqi Chen 001; Jason Bolton; Peng Qi 003; Christopher D. Manning (TAC, 2016)

Position-aware Attention and Supervised Data Improve Slot Filling. - Yuhao Zhang 004; Victor Zhong; Danqi Chen 001; Gabor Angeli; Christopher D. Manning (EMNLP, 2017)

Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph. - Arun Tejasvi Chaganty; Ashwin Paranjape; Jason Bolton; Matthew Lamm; Jinhao Lei; Abigail See; Kevin Clark; Yuhao Zhang 004; Peng Qi 003; Christopher D. Manning (TAC, 2017)

Learning to Summarize Radiology Findings. - Yuhao Zhang 004; Daisy Yi Ding; Tianpei Qian; Christopher D. Manning; Curtis P. Langlotz (Louhi@EMNLP, 2018)

Universal Dependency Parsing from Scratch. - Peng Qi 003; Timothy Dozat; Yuhao Zhang 004; Christopher D. Manning (CoNLL Shared Task (2), 2018)

Graph Convolution over Pruned Dependency Trees Improves Relation Extraction. - Yuhao Zhang 004; Peng Qi 003; Christopher D. Manning (EMNLP, 2018)

Expanding a radiology lexicon using contextual patterns in radiology reports. - Bethany Percha; Yuhao Zhang 004; Selen Bozkurt; Daniel L. Rubin; Russ B. Altman; Curtis P. Langlotz (J. Am. Medical Informatics Assoc., 2018)

Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search. - Jinfeng Rao; Wei Yang 017; Yuhao Zhang 004; Ferhan Türe; Jimmy Lin (AAAI, 2019)

Cross-type biomedical named entity recognition with deep multi-task learning. - Xuan Wang 008; Yu Zhang 044; Xiang Ren 001; Yuhao Zhang 004; Marinka Zitnik; Jingbo Shang; Curtis P. Langlotz; Jiawei Han 001 (Bioinform., 2019)

Stanza: A Python Natural Language Processing Toolkit for Many Human Languages. - Peng Qi 003; Yuhao Zhang 004; Yuhui Zhang; Jason Bolton; Christopher D. Manning (ACL (demo), 2020)

Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports. - Yuhao Zhang 004; Derek Merck; Emily Bao Tsai; Christopher D. Manning; Curtis P. Langlotz (ACL, 2020)

Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations. - Peng Qi 003; Yuhao Zhang 004; Christopher D. Manning (EMNLP (Findings), 2020)

Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation. - Yasuhide Miura; Yuhao Zhang 004; Curtis P. Langlotz; Dan Jurafsky (CoRR, 2020)

Overview of the MEDIQA 2021 Shared Task on Summarization in the Medical Domain. - Asma Ben Abacha; Yassine Mrabet; Yuhao Zhang 004; Chaitanya Shivade; Curtis P. Langlotz; Dina Demner-Fushman (BioNLP@NAACL-HLT, 2021)

Do Syntax Trees Help Pre-trained Transformers Extract Information? - Devendra Singh Sachan; Yuhao Zhang 004; Peng Qi 003; William L. Hamilton (EACL, 2021)

Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation. - Yasuhide Miura; Yuhao Zhang 004; Emily Bao Tsai; Curtis P. Langlotz; Dan Jurafsky (NAACL-HLT, 2021)

RadGraph: Extracting Clinical Entities and Relations from Radiology Reports. - Saahil Jain; Ashwin Agrawal; Adriel Saporta; Steven Q. H. Truong; Du Nguyen Duong; Tan Bui; Pierre J. Chambon; Yuhao Zhang 004; Matthew P. Lungren; Andrew Y. Ng; Curtis P. Langlotz; Pranav Rajpurkar (NeurIPS Datasets and Benchmarks, 2021)

Biomedical and clinical English model packages for the Stanza Python NLP library. - Yuhao Zhang 004; Yuhui Zhang; Peng Qi 003; Christopher D. Manning; Curtis P. Langlotz (J. Am. Medical Informatics Assoc., 2021)

Contrastive Learning of Medical Visual Representations from Paired Images and Text. - Yuhao Zhang 004; Hang Jiang; Yasuhide Miura; Christopher D. Manning; Curtis P. Langlotz (MLHC, 2022)

Improving Cross-task Generalization of Unified Table-to-text Models with Compositional Task Configurations. - Jifan Chen; Yuhao Zhang 004; Lan Liu 004; Rui Dong; Xinchi Chen; Patrick Ng; William Yang Wang; Zhiheng Huang (ACL (Findings), 2023)

Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge. - Xingyu Fu; Sheng Zhang 029; Gukyeong Kwon; Pramuditha Perera; Henghui Zhu; Yuhao Zhang 004; Alexander Hanbo Li; William Yang Wang; Zhiguo Wang; Vittorio Castelli; Patrick Ng; Dan Roth 001; et al. (ACL (Findings), 2023)

RobustQA: Benchmarking the Robustness of Domain Adaptation for Open-Domain Question Answering. - Rujun Han; Peng Qi 003; Yuhao Zhang 004; Lan Liu 004; Juliette Burger; William Yang Wang; Zhiheng Huang; Bing Xiang; Dan Roth 001 (ACL (Findings), 2023)

Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks. - Kaiser Sun; Peng Qi 003; Yuhao Zhang 004; Lan Liu 004; William Yang Wang; Zhiheng Huang (EMNLP (Findings), 2023)

RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering. - Rujun Han; Yuhao Zhang 004; Peng Qi 003; Yumo Xu; Jenyuan Wang; Lan Liu 004; William Yang Wang; Bonan Min; Vittorio Castelli (EMNLP, 2024)

Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models. - Zhengxuan Wu; Yuhao Zhang 004; Peng Qi 003; Yumo Xu; Rujun Han; Yian Zhang; Jifan Chen; Bonan Min; Zhiheng Huang (EMNLP, 2024)