Peng Qi

According to our database, Peng Qi authored at least 36 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models.

Zhengxuan Wu, Yuhao Zhang, Peng Qi, Yumo Xu, Rujun Han, Yian Zhang, Jifan Chen, Bonan Min, Zhiheng Huang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering.

Rujun Han, Yuhao Zhang, Peng Qi, Yumo Xu, Jenyuan Wang, Lan Liu, William Yang Wang, Bonan Min, Vittorio Castelli

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Trustworthy AI: From Principles to Practices.

Bo Li, Peng Qi, Bo Liu, Shuai Di, Jingen Liu, Jiquan Pei, Jinfeng Yi, Bowen Zhou

ACM Comput. Surv., 2023

Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks.

Kaiser Sun, Peng Qi, Yuhao Zhang, Lan Liu, William Yang Wang, Zhiheng Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

PragmatiCQA: A Dataset for Pragmatic Question Answering in Conversations.

Peng Qi, Nina Du, Christopher D. Manning, Jing Huang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Language Agnostic Multilingual Information Retrieval with Contrastive Learning.

Xiyang Hu, Xinchi Chen, Peng Qi, Deguang Kong, Kunlun Liu, William Yang Wang, Zhiheng Huang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

RobustQA: Benchmarking the Robustness of Domain Adaptation for Open-Domain Question Answering.

Rujun Han, Peng Qi, Yuhao Zhang, Lan Liu, Juliette Burger, William Yang Wang, Zhiheng Huang, Bing Xiang, Dan Roth

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Hybrid Hierarchical Retrieval for Open-Domain Question Answering.

Manoj Ghuhan Arivazhagan, Lan Liu, Peng Qi, Xinchi Chen, William Yang Wang, Zhiheng Huang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

SpanDrop: Simple and Effective Counterfactual Learning for Long Sequences.

Peng Qi, Guangtao Wang, Jing Huang

CoRR, 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, Peng Qi, Kaushik Ram Sadagopan, Nguyet Minh Phu, Dilara Soylu, Jillian Tang, Avanika Narayan, Giovanni Campagna, Christopher D. Manning

CoRR, 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, Hari Sowrirajan, Peng Qi, Kaushik Ram Sadagopan, Nguyet Minh Phu, Dilara Soylu, Jillian Tang, Avanika Narayan, Giovanni Campagna, Christopher D. Manning

Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs.

Chao Shang, Guangtao Wang, Peng Qi, Jing Huang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Biomedical and clinical English model packages for the Stanza Python NLP library.

Yuhao Zhang, Yuhui Zhang, Peng Qi, Christopher D. Manning, Curtis P. Langlotz

J. Am. Medical Informatics Assoc., 2021

Conversational AI Systems for Social Good: Opportunities and Challenges.

Peng Qi, Jing Huang, Youzheng Wu, Xiaodong He, Bowen Zhou

CoRR, 2021

Entity and Evidence Guided Document-Level Relation Extraction.

Kevin Huang, Peng Qi, Guangtao Wang, Tengyu Ma, Jing Huang

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification.

Xiaochen Hou, Peng Qi, Guangtao Wang, Rex Ying, Jing Huang, Xiaodong He, Bowen Zhou

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Answering Open-Domain Questions of Varying Reasoning Steps from Text.

Peng Qi, Haejun Lee, Tg Sido, Christopher D. Manning

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Do Syntax Trees Help Pre-trained Transformers Extract Information?

Devendra Singh Sachan, Yuhao Zhang, Peng Qi, William L. Hamilton

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Open Temporal Relation Extraction for Question Answering.

Chao Shang, Peng Qi, Guangtao Wang, Jing Huang, Youzheng Wu, Bowen Zhou

Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

2020

Explainable and efficient knowledge acquisition from text.

Peng Qi

PhD thesis, 2020

Retrieve, Rerank, Read, then Iterate: Answering Open-Domain Questions of Arbitrary Complexity from Text.

Peng Qi, Haejun Lee, Oghenetegiri "TG" Sido, Christopher D. Manning

CoRR, 2020

Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations.

Ashwin Paranjape, Abigail See, Kathleen Kenealy, Haojun Li, Amelia Hardy, Peng Qi, Kaushik Ram Sadagopan, Nguyet Minh Phu, Dilara Soylu, Christopher D. Manning

CoRR, 2020

Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations.

Peng Qi, Yuhao Zhang, Christopher D. Manning

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Stanza: A Python Natural Language Processing Toolkit for Many Human Languages.

Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton, Christopher D. Manning

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

2019

Answering Complex Open-domain Questions Through Iterative Query Generation.

Peng Qi, Xiaowen Lin, Leo Mehr, Zijian Wang, Christopher D. Manning

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Graph Convolution over Pruned Dependency Trees Improves Relation Extraction.

Yuhao Zhang, Peng Qi, Christopher D. Manning

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Universal Dependency Parsing from Scratch.

Peng Qi, Timothy Dozat, Yuhao Zhang, Christopher D. Manning

Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, Brussels, Belgium, October 31, 2018

Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context.

Urvashi Khandelwal, He He, Peng Qi, Dan Jurafsky

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Building DNN acoustic models for large vocabulary speech recognition.

Andrew L. Maas, Peng Qi, Ziang Xie, Awni Y. Hannun, Christopher T. Lengerich, Daniel Jurafsky, Andrew Y. Ng

Comput. Speech Lang., 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, Peng Qi, Christopher D. Manning

Proceedings of the 2017 Text Analysis Conference, 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, Xiaoman Pan, Ashwin Paranjape, Ellie Pavlick, Haoruo Peng, Peng Qi, Pushpendre Rastogi, Abigail See, Kai Sun, Max Thomas, Chen-Tse Tsai, Hao Wu, Boliang Zhang, Chris Callison-Burch, Claire Cardie, Heng Ji, Christopher D. Manning, Smaranda Muresan, Owen Rambow, Dan Roth, Mark Sammons, Benjamin Van Durme

Proceedings of the 2017 Text Analysis Conference, 2017

Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task.

Timothy Dozat, Peng Qi, Christopher D. Manning

Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, 2017

Arc-swift: A Novel Transition System for Dependency Parsing.

Peng Qi, Christopher D. Manning

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Stanford at TAC KBP 2016: Sealing Pipeline Leaks and Understanding Chinese.

Yuhao Zhang, Arun Tejasvi Chaganty, Ashwin Paranjape, Danqi Chen, Jason Bolton, Peng Qi, Christopher D. Manning

Proceedings of the 2016 Text Analysis Conference, 2016

2014

Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition.

Andrew L. Maas, Awni Y. Hannun, Christopher T. Lengerich, Peng Qi, Daniel Jurafsky, Andrew Y. Ng

CoRR, 2014