Hao Peng

According to our database, Hao Peng authored at least 27 papers between 2017 and 2024.

Collaborative distances:

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

2024

Executable Code Actions Elicit Better LLM Agents.

Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji

CoRR, 2024

2023

Catwalk: A Unified Language Model Evaluation Framework for Many Datasets.

Dirk Groeneveld, Anas Awadalla, Iz Beltagy, Akshita Bhagia, Ian Magnusson, Hao Peng, Oyvind Tafjord, Pete Walsh, Kyle Richardson, Jesse Dodge

CoRR, 2023

Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals.

Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Chandu Raghavi, Vivek Srikumar, Sameer Singh, Noah A. Smith

CoRR, 2023

Language Models Hallucinate, but May Excel at Fact Verification.

Jian Guan, Jesse Dodge, David Wadden, Minlie Huang, Hao Peng

CoRR, 2023

FiLM: Fill-in Language Models for Any-Order Generation.

Tianxiao Shen, Hao Peng, Ruoqi Shen, Yao Fu, Zaïd Harchaoui, Yejin Choi

CoRR, 2023

TRAM: Bridging Trust Regions and Sharpness Aware Minimization.

Tom Sherborne, Naomi Saphra, Pradeep Dasigi, Hao Peng

CoRR, 2023

Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation.

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

CoRR, 2023

2022

Transparency Helps Reveal When Language Models Learn Meaning.

Zhaofeng Wu, William Merrill, Hao Peng, Iz Beltagy, Noah A. Smith

CoRR, 2022

Modeling Context With Linear Attention for Scalable Document-Level Translation.

Zhaofeng Wu, Hao Peng, Nikolaos Pappas, Noah A. Smith

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Twist Decoding: Diverse Generators Guide Each Other.

Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir Radev, Yejin Choi, Noah A. Smith

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers.

Michael Hassid, Hao Peng, Daniel Rotem, Jungo Kasai, Ivan Montero, Noah A. Smith, Roy Schwartz

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Tailor: Generating and Perturbing Text with Semantic Controls.

Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner

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

ABC: Attention with Bounded-memory Control.

Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith

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

2021

Infusing Finetuning with Semantic Dependencies.

Zhaofeng Wu, Hao Peng, Noah A. Smith

Trans. Assoc. Comput. Linguistics, 2021

Contextualized Perturbation for Textual Adversarial Attack.

Dianqi Li, Yizhe Zhang, Hao Peng, Liqun Chen, Chris Brockett, Ming-Ting Sun, Bill Dolan

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

Random Feature Attention.

Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong

Proceedings of the 9th International Conference on Learning Representations, 2021

Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation.

Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah A. Smith

Proceedings of the 9th International Conference on Learning Representations, 2021

Finetuning Pretrained Transformers into RNNs.

Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco, Nikolaos Pappas, Yi Mao, Weizhu Chen, Noah A. Smith

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

2020

Deep Encoder, Shallow Decoder: Reevaluating the Speed-Quality Tradeoff in Machine Translation.

Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah A. Smith

CoRR, 2020

A Mixture of h - 1 Heads is Better than h Heads.

Hao Peng, Roy Schwartz, Dianqi Li, Noah A. Smith

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

2019

PaLM: A Hybrid Parser and Language Model.

Hao Peng, Roy Schwartz, Noah A. Smith

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

RNN Architecture Learning with Sparse Regularization.

Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith

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

2018

"You are no Jack Kennedy": On Media Selection of Highlights from Presidential Debates.

Chenhao Tan, Hao Peng, Noah A. Smith

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Learning Joint Semantic Parsers from Disjoint Data.

Hao Peng, Sam Thomson, Swabha Swayamdipta, Noah A. Smith

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Rational Recurrences.

Hao Peng, Roy Schwartz, Sam Thomson, Noah A. Smith

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

Backpropagating through Structured Argmax using a SPIGOT.

Hao Peng, Sam Thomson, Noah A. Smith

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

2017

Deep Multitask Learning for Semantic Dependency Parsing.

Hao Peng, Sam Thomson, Noah A. Smith

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