Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition. - Andrew L. Maas; Awni Y. Hannun; Christopher T. Lengerich; Peng Qi 003; Daniel Jurafsky; Andrew Y. Ng (CoRR, 2014)

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)

Arc-swift: A Novel Transition System for Dependency Parsing. - Peng Qi 003; Christopher D. Manning (ACL (2), 2017)

Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task. - Timothy Dozat; Peng Qi 003; Christopher D. Manning (CoNLL Shared Task (2), 2017)

TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction. - Mohamed Al-Badrashiny; Jason Bolton; Arun Tejasvi Chaganty; Kevin Clark; Craig Harman; Lifu Huang; Matthew Lamm; Jinhao Lei; Di Lu 003; Xiaoman Pan; Ashwin Paranjape; Ellie Pavlick; et al. (TAC, 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)

Building DNN acoustic models for large vocabulary speech recognition. - Andrew L. Maas; Peng Qi 003; Ziang Xie; Awni Y. Hannun; Christopher T. Lengerich; Daniel Jurafsky; Andrew Y. Ng (Comput. Speech Lang., 2017)

Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context. - Urvashi Khandelwal; He He 001; Peng Qi 003; Dan Jurafsky (ACL (1), 2018)

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

HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. - Zhilin Yang 001; Peng Qi 003; Saizheng Zhang; Yoshua Bengio; William W. Cohen; Ruslan Salakhutdinov; Christopher D. Manning (EMNLP, 2018)

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

Answering Complex Open-domain Questions Through Iterative Query Generation. - Peng Qi 003; Xiaowen Lin; Leo Mehr; Zijian Wang 002; Christopher D. Manning (EMNLP/IJCNLP (1), 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)

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)

Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations. - Ashwin Paranjape; Abigail See; Kathleen Kenealy; Haojun Li; Amelia Hardy; Peng Qi 003; Kaushik Ram Sadagopan; Nguyet Minh Phu; Dilara Soylu; Christopher D. Manning (CoRR, 2020)

Retrieve, Rerank, Read, then Iterate: Answering Open-Domain Questions of Arbitrary Complexity from Text. - Peng Qi 003; Haejun Lee; Oghenetegiri "TG" Sido; Christopher D. Manning (CoRR, 2020)

Explainable and efficient knowledge acquisition from text. - Peng Qi 003 (2020)

Open Temporal Relation Extraction for Question Answering. - Chao Shang; Peng Qi 003; Guangtao Wang; Jing Huang 019; Youzheng Wu; Bowen Zhou 001 (AKBC, 2021)

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

Answering Open-Domain Questions of Varying Reasoning Steps from Text. - Peng Qi 003; Haejun Lee; Tg Sido; Christopher D. Manning (EMNLP (1), 2021)

Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification. - Xiaochen Hou; Peng Qi 003; Guangtao Wang; Rex Ying; Jing Huang 019; Xiaodong He 001; Bowen Zhou 001 (NAACL-HLT, 2021)

Entity and Evidence Guided Document-Level Relation Extraction. - Kevin Huang 002; Peng Qi 003; Guangtao Wang; Tengyu Ma 001; Jing Huang 019 (RepL4NLP@ACL-IJCNLP, 2021)

Conversational AI Systems for Social Good: Opportunities and Challenges. - Peng Qi 003; Jing Huang 019; Youzheng Wu; Xiaodong He 001; Bowen Zhou 001 (CoRR, 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)

Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs. - Chao Shang; Guangtao Wang; Peng Qi 003; Jing Huang 019 (ACL (1), 2022)

Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent. - Ethan A. Chi; Ashwin Paranjape; Abigail See; Caleb Chiam; Trenton Chang; Kathleen Kenealy; Swee Kiat Lim; Amelia Hardy; Chetanya Rastogi; Haojun Li; Alexander Iyabor; Yutong He; et al. (SIGDIAL, 2022)

Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent. - Ethan A. Chi; Ashwin Paranjape; Abigail See; Caleb Chiam; Kathleen Kenealy; Swee Kiat Lim; Amelia Hardy; Chetanya Rastogi; Haojun Li; Alexander Iyabor; Yutong He; Hari Sowrirajan; et al. (CoRR, 2022)

SpanDrop: Simple and Effective Counterfactual Learning for Long Sequences. - Peng Qi 003; Guangtao Wang; Jing Huang 019 (CoRR, 2022)

Hybrid Hierarchical Retrieval for Open-Domain Question Answering. - Manoj Ghuhan Arivazhagan; Lan Liu 004; Peng Qi 003; Xinchi Chen; William Yang Wang; Zhiheng Huang (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)

Language Agnostic Multilingual Information Retrieval with Contrastive Learning. - Xiyang Hu; Xinchi Chen; Peng Qi 003; Deguang Kong; Kunlun Liu; William Yang Wang; Zhiheng Huang (ACL (Findings), 2023)

PragmatiCQA: A Dataset for Pragmatic Question Answering in Conversations. - Peng Qi 003; Nina Du; Christopher D. Manning; Jing Huang 019 (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)

Trustworthy AI: From Principles to Practices. - Bo Li 026; Peng Qi 003; Bo Liu; Shuai Di; Jingen Liu; Jiquan Pei; Jinfeng Yi; Bowen Zhou 001 (ACM Comput. Surv., 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)

CiteEval: Principle-Driven Citation Evaluation for Source Attribution. - Yumo Xu; Peng Qi 003; Jifan Chen; Kunlun Liu; Rujun Han; Lan Liu 004; Bonan Min; Vittorio Castelli; Arshit Gupta; Zhiguo Wang (ACL (1), 2025)