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Hao Peng 0009
Person information
- affiliation: University of Washington, Paul G. Allen School of Computer Science & Engineering, Seattle, WA, USA
Other persons with the same name
- Hao Peng — disambiguation page
- Hao Peng 0001 — Beihang University, Beijing, China
- Hao Peng 0002 — Zhejiang Normal University, Jinhua, China
- Hao Peng 0003 — South China University of Technology, Guangzhou, China
- Hao Peng 0004 — Embry-Riddle Aeronautical University, Daytona Beach, FL, USA
- Hao Peng 0005 — Northeastern University, College of Information Science and Engineering, Shenyang, China
- Hao Peng 0006 — University of Michigan, Ann Arbor, MI, USA
- Hao Peng 0007 — University of Georgia, Athens, GA, USA
- Hao Peng 0008 — Apex.AI Inc., Palo Alto, CA, USA
- Hao Peng 0010 — Nanjing Tech University, Nanjing, China
- Hao Peng 0011 — Beijing BENZ Automotive CO.LTD, Beijing, China
- Hao Peng 0012 — University of Electronic Science and Technology of China, Chengdu, China
- Hao Peng 0013 — Tianjin University, School of Electrical and Information Engineering, Tianjin, China
- Hao Peng 0014 — Stanford University, Department of Radiation Oncology, Stanford, CA, USA
- Hao Peng 0015 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Hao Peng 0016 — ObEN, Inc., Pasadena, CA, USA
- Hao Peng 0017 — Peking University, Beijing, China
- Hao Peng 0018 — University of Edinburgh, Edinburgh, GB
- Hao Peng 0019 — Stony Brook University, Stony Brook, NY, USA
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Journal Articles
- 2023
- [j2]Zhaofeng Wu, William Merrill, Hao Peng, Iz Beltagy, Noah A. Smith:
Transparency Helps Reveal When Language Models Learn Meaning. Trans. Assoc. Comput. Linguistics 11: 617-634 (2023) - 2021
- [j1]Zhaofeng Wu, Hao Peng, Noah A. Smith:
Infusing Finetuning with Semantic Dependencies. Trans. Assoc. Comput. Linguistics 9: 226-242 (2021)
Conference and Workshop Papers
- 2022
- [c17]Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner:
Tailor: Generating and Perturbing Text with Semantic Controls. ACL (1) 2022: 3194-3213 - [c16]Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith:
ABC: Attention with Bounded-memory Control. ACL (1) 2022: 7469-7483 - [c15]Michael Hassid, Hao Peng, Daniel Rotem, Jungo Kasai, Ivan Montero, Noah A. Smith, Roy Schwartz:
How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers. EMNLP (Findings) 2022: 1403-1416 - [c14]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir Radev, Yejin Choi, Noah A. Smith:
Twist Decoding: Diverse Generators Guide Each Other. EMNLP 2022: 4909-4923 - [c13]Zhaofeng Wu, Hao Peng, Nikolaos Pappas, Noah A. Smith:
Modeling Context With Linear Attention for Scalable Document-Level Translation. EMNLP (Findings) 2022: 6931-6939 - 2021
- [c12]Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco, Nikolaos Pappas, Yi Mao, Weizhu Chen, Noah A. Smith:
Finetuning Pretrained Transformers into RNNs. EMNLP (1) 2021: 10630-10643 - [c11]Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah A. Smith:
Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation. ICLR 2021 - [c10]Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong:
Random Feature Attention. ICLR 2021 - [c9]Dianqi Li, Yizhe Zhang, Hao Peng, Liqun Chen, Chris Brockett, Ming-Ting Sun, Bill Dolan:
Contextualized Perturbation for Textual Adversarial Attack. NAACL-HLT 2021: 5053-5069 - 2020
- [c8]Hao Peng, Roy Schwartz, Dianqi Li, Noah A. Smith:
A Mixture of h - 1 Heads is Better than h Heads. ACL 2020: 6566-6577 - 2019
- [c7]Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith:
RNN Architecture Learning with Sparse Regularization. EMNLP/IJCNLP (1) 2019: 1179-1184 - [c6]Hao Peng, Roy Schwartz, Noah A. Smith:
PaLM: A Hybrid Parser and Language Model. EMNLP/IJCNLP (1) 2019: 3642-3649 - 2018
- [c5]Hao Peng, Sam Thomson, Noah A. Smith:
Backpropagating through Structured Argmax using a SPIGOT. ACL (1) 2018: 1863-1873 - [c4]Hao Peng, Roy Schwartz, Sam Thomson, Noah A. Smith:
Rational Recurrences. EMNLP 2018: 1203-1214 - [c3]Hao Peng, Sam Thomson, Swabha Swayamdipta, Noah A. Smith:
Learning Joint Semantic Parsers from Disjoint Data. NAACL-HLT 2018: 1492-1502 - [c2]Chenhao Tan, Hao Peng, Noah A. Smith:
"You are no Jack Kennedy": On Media Selection of Highlights from Presidential Debates. WWW 2018: 945-954 - 2017
- [c1]Hao Peng, Sam Thomson, Noah A. Smith:
Deep Multitask Learning for Semantic Dependency Parsing. ACL (1) 2017: 2037-2048
Informal and Other Publications
- 2024
- [i27]Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji:
Executable Code Actions Elicit Better LLM Agents. CoRR abs/2402.01030 (2024) - [i26]Muhammad Khalifa, David Wadden, Emma Strubell, Honglak Lee, Lu Wang, Iz Beltagy, Hao Peng:
Source-Aware Training Enables Knowledge Attribution in Language Models. CoRR abs/2404.01019 (2024) - 2023
- [i25]Hao Peng, Qingqing Cao, Jesse Dodge, Matthew E. Peters, Jared Fernandez, Tom Sherborne, Kyle Lo, Sam Skjonsberg, Emma Strubell, Darrell Plessas, Iz Beltagy, Evan Pete Walsh, Noah A. Smith, Hannaneh Hajishirzi:
Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation. CoRR abs/2307.09701 (2023) - [i24]Tom Sherborne, Naomi Saphra, Pradeep Dasigi, Hao Peng:
TRAM: Bridging Trust Regions and Sharpness Aware Minimization. CoRR abs/2310.03646 (2023) - [i23]Tianxiao Shen, Hao Peng, Ruoqi Shen, Yao Fu, Zaïd Harchaoui, Yejin Choi:
FiLM: Fill-in Language Models for Any-Order Generation. CoRR abs/2310.09930 (2023) - [i22]Jian Guan, Jesse Dodge, David Wadden, Minlie Huang, Hao Peng:
Language Models Hallucinate, but May Excel at Fact Verification. CoRR abs/2310.14564 (2023) - [i21]Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Chandu Raghavi, Vivek Srikumar, Sameer Singh, Noah A. Smith:
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals. CoRR abs/2311.09605 (2023) - [i20]Dirk Groeneveld, Anas Awadalla, Iz Beltagy, Akshita Bhagia, Ian Magnusson, Hao Peng, Oyvind Tafjord, Pete Walsh, Kyle Richardson, Jesse Dodge:
Catwalk: A Unified Language Model Evaluation Framework for Many Datasets. CoRR abs/2312.10253 (2023) - 2022
- [i19]Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir R. Radev, Yejin Choi, Noah A. Smith:
Twist Decoding: Diverse Generators Guide Each Other. CoRR abs/2205.09273 (2022) - [i18]Zhaofeng Wu, William Merrill, Hao Peng, Iz Beltagy, Noah A. Smith:
Transparency Helps Reveal When Language Models Learn Meaning. CoRR abs/2210.07468 (2022) - [i17]Zhaofeng Wu, Hao Peng, Nikolaos Pappas, Noah A. Smith:
Modeling Context With Linear Attention for Scalable Document-Level Translation. CoRR abs/2210.08431 (2022) - [i16]Michael Hassid, Hao Peng, Daniel Rotem, Jungo Kasai, Ivan Montero, Noah A. Smith, Roy Schwartz:
How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers. CoRR abs/2211.03495 (2022) - 2021
- [i15]Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong:
Random Feature Attention. CoRR abs/2103.02143 (2021) - [i14]Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco, Nikolaos Pappas, Yi Mao, Weizhu Chen, Noah A. Smith:
Finetuning Pretrained Transformers into RNNs. CoRR abs/2103.13076 (2021) - [i13]Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner:
Tailor: Generating and Perturbing Text with Semantic Controls. CoRR abs/2107.07150 (2021) - [i12]Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith:
ABC: Attention with Bounded-memory Control. CoRR abs/2110.02488 (2021) - 2020
- [i11]Hao Peng, Roy Schwartz, Dianqi Li, Noah A. Smith:
A Mixture of h-1 Heads is Better than h Heads. CoRR abs/2005.06537 (2020) - [i10]Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah A. Smith:
Deep Encoder, Shallow Decoder: Reevaluating the Speed-Quality Tradeoff in Machine Translation. CoRR abs/2006.10369 (2020) - [i9]Dianqi Li, Yizhe Zhang, Hao Peng, Liqun Chen, Chris Brockett, Ming-Ting Sun, Bill Dolan:
Contextualized Perturbation for Textual Adversarial Attack. CoRR abs/2009.07502 (2020) - [i8]Zhaofeng Wu, Hao Peng, Noah A. Smith:
Infusing Finetuning with Semantic Dependencies. CoRR abs/2012.05395 (2020) - 2019
- [i7]Hao Peng, Roy Schwartz, Noah A. Smith:
PaLM: A Hybrid Parser and Language Model. CoRR abs/1909.02134 (2019) - [i6]Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith:
RNN Architecture Learning with Sparse Regularization. CoRR abs/1909.03011 (2019) - 2018
- [i5]Chenhao Tan, Hao Peng, Noah A. Smith:
"You are no Jack Kennedy": On Media Selection of Highlights from Presidential Debates. CoRR abs/1802.08690 (2018) - [i4]Hao Peng, Sam Thomson, Swabha Swayamdipta, Noah A. Smith:
Learning Joint Semantic Parsers from Disjoint Data. CoRR abs/1804.05990 (2018) - [i3]Hao Peng, Sam Thomson, Noah A. Smith:
Backpropagating through Structured Argmax using a SPIGOT. CoRR abs/1805.04658 (2018) - [i2]Hao Peng, Roy Schwartz, Sam Thomson, Noah A. Smith:
Rational Recurrences. CoRR abs/1808.09357 (2018) - 2017
- [i1]Hao Peng, Sam Thomson, Noah A. Smith:
Deep Multitask Learning for Semantic Dependency Parsing. CoRR abs/1704.06855 (2017)
Coauthor Index
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