default search action
Hao Peng 0009
Person information
- affiliation: University of Illinois Urbana-Champaign, IL, USA
- affiliation (PhD 2022): 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
- Hao Peng 0003
- Hao Peng 0004
- Hao Peng 0005
- Hao Peng 0006
- Hao Peng 0007
- Hao Peng 0008
- Hao Peng 0010
- Hao Peng 0011
- Hao Peng 0012
- Hao Peng 0013
- Hao Peng 0014
- Hao Peng 0015
- 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
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c25]Xianrui Zhong, Yufeng Du, Siru Ouyang, Ming Zhong, Tingfeng Luo, Qirong Ho, Hao Peng, Heng Ji, Jiawei Han:
ActionIE: Action Extraction from Scientific Literature with Programming Languages. ACL (1) 2024: 12656-12671 - [c24]Xingyao Wang, Zihan Wang, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng, Heng Ji:
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback. ICLR 2024 - [c23]Tom Sherborne, Naomi Saphra
TRAM: Bridging Trust Regions and Sharpness Aware Minimization. ICLR 2024 - [c22]Lifan Yuan, Yangyi Chen, Xingyao Wang, Yi Fung, Hao Peng, Heng Ji:
CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets. ICLR 2024 - [c21]Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji:
Executable Code Actions Elicit Better LLM Agents. ICML 2024 - [c20]Xingyao Wang, Hao Peng, Reyhaneh Jabbarvand, Heng Ji:
LETI: Learning to Generate from Textual Interactions. NAACL-HLT (Findings) 2024: 223-239 - [c19]Jian Guan, Jesse Dodge, David Wadden, Minlie Huang, Hao Peng:
Language Models Hallucinate, but May Excel at Fact Verification. NAACL-HLT 2024: 1090-1111 - [c18]Chi Han, Qifan Wang, Hao Peng, Wenhan Xiong, Yu Chen, Heng Ji, Sinong Wang:
LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models. NAACL-HLT 2024: 3991-4008 - [i34]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) - [i33]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) - [i32]Ziqi Wang, Hanlin Zhang, Xiner Li, Kuan-Hao Huang, Chi Han, Shuiwang Ji, Sham M. Kakade, Hao Peng, Heng Ji:
Eliminating Position Bias of Language Models: A Mechanistic Approach. CoRR abs/2407.01100 (2024) - [i31]Yangyi Chen, Xingyao Wang, Hao Peng, Heng Ji:
A Single Transformer for Scalable Vision-Language Modeling. CoRR abs/2407.06438 (2024) - [i30]Xingyao Wang, Boxuan Li, Yufan Song, Frank F. Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H. Tran, Fuqiang Li, Ren Ma, Mingzhang Zheng, Bill Qian, Yanjun Shao, Niklas Muennighoff, Yizhe Zhang, Binyuan Hui, Junyang Lin, Robert Brennan, Hao Peng, Heng Ji, Graham Neubig:
OpenDevin: An Open Platform for AI Software Developers as Generalist Agents. CoRR abs/2407.16741 (2024) - 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) - [i29]Xingyao Wang, Hao Peng, Reyhaneh Jabbarvand, Heng Ji:
LeTI: Learning to Generate from Textual Interactions. CoRR abs/2305.10314 (2023) - [i28]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) - [i27]Xingyao Wang, Zihan Wang, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng, Heng Ji:
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback. CoRR abs/2309.10691 (2023) - [i26]Lifan Yuan, Yangyi Chen, Xingyao Wang, Yi R. Fung, Hao Peng, Heng Ji:
CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets. CoRR abs/2309.17428 (2023) - [i25]Tom Sherborne, Naomi Saphra, Pradeep Dasigi, Hao Peng:
TRAM: Bridging Trust Regions and Sharpness Aware Minimization. CoRR abs/2310.03646 (2023) - [i24]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) - [i23]Jian Guan, Jesse Dodge, David Wadden, Minlie Huang, Hao Peng:
Language Models Hallucinate, but May Excel at Fact Verification. CoRR abs/2310.14564 (2023) - [i22]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) - [i21]Genglin Liu, Xingyao Wang, Lifan Yuan, Yangyi Chen, Hao Peng:
Prudent Silence or Foolish Babble? Examining Large Language Models' Responses to the Unknown. CoRR abs/2311.09731 (2023) - [i20]Dirk Groeneveld, Anas Awadalla, Iz Beltagy, Akshita Bhagia
Catwalk: A Unified Language Model Evaluation Framework for Many Datasets. CoRR abs/2312.10253 (2023) - 2022
- [b1]Hao Peng:
Towards Efficient and Generalizable Natural Language Processing. University of Washington, USA, 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 - [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
- [j1]Zhaofeng Wu, Hao Peng, Noah A. Smith:
Infusing Finetuning with Semantic Dependencies. Trans. Assoc. Comput. Linguistics 9: 226-242 (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
Contextualized Perturbation for Textual Adversarial Attack. NAACL-HLT 2021: 5053-5069 - [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
- [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 - [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)
2010 – 2019
- 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 - [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
- [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 - [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
- [c1]Hao Peng, Sam Thomson, Noah A. Smith:
Deep Multitask Learning for Semantic Dependency Parsing. ACL (1) 2017: 2037-2048 - [i1]Hao Peng, Sam Thomson, Noah A. Smith:
Deep Multitask Learning for Semantic Dependency Parsing. CoRR abs/1704.06855 (2017)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-30 21:33 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: