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Peng Qi 0003
Person information
- affiliation: Amazon AWS AI, USA
- affiliation (former): JD AI Research, Mountain View, CA, USA
- affiliation (former): Stanford University, CA, USA
Other persons with the same name
- Peng Qi — disambiguation page
- Peng Qi 0001 — Tongji University, Shanghai, China (and 4 more)
- Peng Qi 0002 — Institute of Oceanology, Qingdao, China
- Peng Qi 0004 — Tsinghua National Laboratory for Information Science and Technology (TNList), Beijing, China (and 1 more)
- Peng Qi 0005 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
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2020 – today
- 2023
- [j3]Bo Li, Peng Qi, Bo Liu, Shuai Di, Jingen Liu, Jiquan Pei, Jinfeng Yi, Bowen Zhou:
Trustworthy AI: From Principles to Practices. ACM Comput. Surv. 55(9): 177:1-177:46 (2023) - [c20]Rujun Han, Peng Qi, Yuhao Zhang, Lan Liu, Juliette Burger, William Yang Wang, Zhiheng Huang, Bing Xiang, Dan Roth:
RobustQA: Benchmarking the Robustness of Domain Adaptation for Open-Domain Question Answering. ACL (Findings) 2023: 4294-4311 - [c19]Peng Qi, Nina Du, Christopher D. Manning, Jing Huang:
PragmatiCQA: A Dataset for Pragmatic Question Answering in Conversations. ACL (Findings) 2023: 6175-6191 - [c18]Xiyang Hu, Xinchi Chen, Peng Qi, Deguang Kong, Kunlun Liu, William Yang Wang, Zhiheng Huang:
Language Agnostic Multilingual Information Retrieval with Contrastive Learning. ACL (Findings) 2023: 9133-9146 - [c17]Kaiser Sun, Peng Qi, Yuhao Zhang, Lan Liu, William Yang Wang, Zhiheng Huang:
Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks. EMNLP (Findings) 2023: 13300-13310 - 2022
- [c16]Chao Shang, Guangtao Wang, Peng Qi, Jing Huang:
Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs. ACL (1) 2022: 8017-8026 - [c15]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:
Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent. SIGDIAL 2022: 376-395 - [i24]Chao Shang, Guangtao Wang, Peng Qi, Jing Huang:
Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs. CoRR abs/2203.00255 (2022) - [i23]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:
Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent. CoRR abs/2207.12021 (2022) - [i22]Peng Qi, Guangtao Wang, Jing Huang:
SpanDrop: Simple and Effective Counterfactual Learning for Long Sequences. CoRR abs/2208.02169 (2022) - [i21]Xiyang Hu, Xinchi Chen, Peng Qi, Deguang Kong, Kunlun Liu, William Yang Wang, Zhiheng Huang:
Language Agnostic Multilingual Information Retrieval with Contrastive Learning. CoRR abs/2210.06633 (2022) - [i20]Kaiser Sun, Peng Qi, Yuhao Zhang, Lan Liu, William Yang Wang, Zhiheng Huang:
Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks. CoRR abs/2212.09912 (2022) - 2021
- [j2]Yuhao Zhang, Yuhui Zhang, Peng Qi, Christopher D. Manning, Curtis P. Langlotz:
Biomedical and clinical English model packages for the Stanza Python NLP library. J. Am. Medical Informatics Assoc. 28(9): 1892-1899 (2021) - [c14]Chao Shang, Peng Qi, Guangtao Wang, Jing Huang, Youzheng Wu, Bowen Zhou:
Open Temporal Relation Extraction for Question Answering. AKBC 2021 - [c13]Devendra Singh Sachan, Yuhao Zhang, Peng Qi, William L. Hamilton:
Do Syntax Trees Help Pre-trained Transformers Extract Information? EACL 2021: 2647-2661 - [c12]Peng Qi, Haejun Lee, Tg Sido, Christopher D. Manning:
Answering Open-Domain Questions of Varying Reasoning Steps from Text. EMNLP (1) 2021: 3599-3614 - [c11]Xiaochen Hou, Peng Qi, Guangtao Wang, Rex Ying, Jing Huang, Xiaodong He, Bowen Zhou:
Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification. NAACL-HLT 2021: 2884-2894 - [c10]Kevin Huang, Peng Qi, Guangtao Wang, Tengyu Ma, Jing Huang:
Entity and Evidence Guided Document-Level Relation Extraction. RepL4NLP@ACL-IJCNLP 2021: 307-315 - [i19]Xiaochen Hou, Peng Qi, Guangtao Wang, Rex Ying, Jing Huang, Xiaodong He, Bowen Zhou:
Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification. CoRR abs/2103.11794 (2021) - [i18]Peng Qi, Jing Huang, Youzheng Wu, Xiaodong He, Bowen Zhou:
Conversational AI Systems for Social Good: Opportunities and Challenges. CoRR abs/2105.06457 (2021) - [i17]Bo Li, Peng Qi, Bo Liu, Shuai Di, Jingen Liu, Jiquan Pei, Jinfeng Yi, Bowen Zhou:
Trustworthy AI: From Principles to Practices. CoRR abs/2110.01167 (2021) - 2020
- [b1]Peng Qi:
Explainable and efficient knowledge acquisition from text. Stanford University, USA, 2020 - [c9]Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton, Christopher D. Manning:
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages. ACL (demo) 2020: 101-108 - [c8]Peng Qi, Yuhao Zhang, Christopher D. Manning:
Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations. EMNLP (Findings) 2020: 25-40 - [i16]Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton, Christopher D. Manning:
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages. CoRR abs/2003.07082 (2020) - [i15]Peng Qi, Yuhao Zhang, Christopher D. Manning:
Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations. CoRR abs/2004.14530 (2020) - [i14]Yuhao Zhang, Yuhui Zhang, Peng Qi, Christopher D. Manning, Curtis P. Langlotz:
Biomedical and Clinical English Model Packages in the Stanza Python NLP Library. CoRR abs/2007.14640 (2020) - [i13]Devendra Singh Sachan, Yuhao Zhang, Peng Qi, William L. Hamilton:
Do Syntax Trees Help Pre-trained Transformers Extract Information? CoRR abs/2008.09084 (2020) - [i12]Ashwin Paranjape, Abigail See, Kathleen Kenealy, Haojun Li, Amelia Hardy, Peng Qi, Kaushik Ram Sadagopan, Nguyet Minh Phu, Dilara Soylu, Christopher D. Manning:
Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations. CoRR abs/2008.12348 (2020) - [i11]Peng Qi, Haejun Lee, Oghenetegiri "TG" Sido, Christopher D. Manning:
Retrieve, Rerank, Read, then Iterate: Answering Open-Domain Questions of Arbitrary Complexity from Text. CoRR abs/2010.12527 (2020)
2010 – 2019
- 2019
- [c7]Peng Qi, Xiaowen Lin, Leo Mehr, Zijian Wang, Christopher D. Manning:
Answering Complex Open-domain Questions Through Iterative Query Generation. EMNLP/IJCNLP (1) 2019: 2590-2602 - [i10]Peng Qi, Timothy Dozat, Yuhao Zhang, Christopher D. Manning:
Universal Dependency Parsing from Scratch. CoRR abs/1901.10457 (2019) - [i9]Peng Qi, Xiaowen Lin, Leo Mehr, Zijian Wang, Christopher D. Manning:
Answering Complex Open-domain Questions Through Iterative Query Generation. CoRR abs/1910.07000 (2019) - 2018
- [c6]Urvashi Khandelwal, He He, Peng Qi, Dan Jurafsky:
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context. ACL (1) 2018: 284-294 - [c5]Peng Qi, Timothy Dozat, Yuhao Zhang, Christopher D. Manning:
Universal Dependency Parsing from Scratch. CoNLL Shared Task (2) 2018: 160-170 - [c4]Yuhao Zhang, Peng Qi, Christopher D. Manning:
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction. EMNLP 2018: 2205-2215 - [c3]Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning:
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. EMNLP 2018: 2369-2380 - [i8]Urvashi Khandelwal, He He, Peng Qi, Dan Jurafsky:
Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context. CoRR abs/1805.04623 (2018) - [i7]Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, Christopher D. Manning:
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. CoRR abs/1809.09600 (2018) - [i6]Yuhao Zhang, Peng Qi, Christopher D. Manning:
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction. CoRR abs/1809.10185 (2018) - 2017
- [j1]Andrew L. Maas, Peng Qi, Ziang Xie, Awni Y. Hannun, Christopher T. Lengerich, Daniel Jurafsky, Andrew Y. Ng:
Building DNN acoustic models for large vocabulary speech recognition. Comput. Speech Lang. 41: 195-213 (2017) - [c2]Peng Qi, Christopher D. Manning:
Arc-swift: A Novel Transition System for Dependency Parsing. ACL (2) 2017: 110-117 - [c1]Timothy Dozat, Peng Qi, Christopher D. Manning:
Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task. CoNLL Shared Task (2) 2017: 20-30 - [i5]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:
TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction. TAC 2017 - [i4]Arun Tejasvi Chaganty, Ashwin Paranjape, Jason Bolton, Matthew Lamm, Jinhao Lei, Abigail See, Kevin Clark, Yuhao Zhang, Peng Qi, Christopher D. Manning:
Stanford at TAC KBP 2017: Building a Trilingual Relational Knowledge Graph. TAC 2017 - [i3]Peng Qi, Christopher D. Manning:
Arc-swift: A Novel Transition System for Dependency Parsing. CoRR abs/1705.04434 (2017) - 2016
- [i2]Yuhao Zhang, Arun Tejasvi Chaganty, Ashwin Paranjape, Danqi Chen, Jason Bolton, Peng Qi, Christopher D. Manning:
Stanford at TAC KBP 2016: Sealing Pipeline Leaks and Understanding Chinese. TAC 2016 - 2014
- [i1]Andrew L. Maas, Awni Y. Hannun, Christopher T. Lengerich, Peng Qi, Daniel Jurafsky, Andrew Y. Ng:
Increasing Deep Neural Network Acoustic Model Size for Large Vocabulary Continuous Speech Recognition. CoRR abs/1406.7806 (2014)
Coauthor Index
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last updated on 2024-03-02 02:43 CET by the dblp team
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