Hao Peng - RankMe

89 papers A* 14Journal 55Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Countdown-Code: A Testbed for Studying The Emergence and Generalization of Reward Hacking in RLVR. CoRR Muhammad Khalifa, Zohaib Khan, Omer Tafveez, Hao Peng, Lu Wang
2026	J	`jnl`	Do We Need Adam? Surprisingly Strong and Sparse Reinforcement Learning with SGD in LLMs. CoRR Sagnik Mukherjee, Lifan Yuan, Pavan Jayasinha, Dilek Hakkani-Tür, Hao Peng
2026	J	`jnl`	Efficient, Property-Aligned Fan-Out Retrieval via RL-Compiled Diffusion. CoRR Pengcheng Jiang, Judith Yue Li, Moonkyung Ryu, R. Lily Hu, Kun Su, Zhong Yi Wan, Liam Hebert, Hao Peng, Jiawei Han, Dima Kuzmin, Craig Boutilier
2026	J	`jnl`	Gaming the Judge: Unfaithful Chain-of-Thought Can Undermine Agent Evaluation. CoRR Muhammad Khalifa, Lajanugen Logeswaran, Jaekyeom Kim, Sungryull Sohn, Yunxiang Zhang, Moontae Lee, Hao Peng, Lu Wang, Honglak Lee
2026	J	`jnl`	Prioritizing Image-Related Tokens Enhances Vision-Language Pre-Training. Trans. Mach. Learn. Res. Yangyi Chen, Hao Peng, Tong Zhang, Heng Ji
2026	J	`jnl`	Process Reward Models That Think. Trans. Mach. Learn. Res. Muhammad Khalifa, Rishabh Agarwal, Lajanugen Logeswaran, Jaekyeom Kim, Hao Peng, Moontae Lee, Honglak Lee, Lu Wang
2026	—	`conf`	Tackling Distractor Documents in Multi-Hop QA with Reinforcement and Curriculum Learning. EACL (Findings) Jerry Huang, Siddarth Madala, Risham Sidhu, Cheng Niu, Hao Peng, Julia Hockenmaier, Tong Zhang
2025	A*	`conf`	A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts. ICLR Suyu Ge, Xihui Lin, Yunan Zhang, Jiawei Han, Hao Peng
2025	J	`jnl`	Adaptation of Agentic AI. CoRR Pengcheng Jiang, Jiacheng Lin, Zhiyi Shi, Zifeng Wang, Luxi He, Yichen Wu, Ming Zhong, Peiyang Song, Qizheng Zhang, Heng Wang, Xueqiang Xu, Hanwen Xu, Pengrui Han, Dylan Zhang, Jiashuo Sun, Chaoqi Yang, Kun Qian, Tian Wang, Changran Hu, Manling Li, Quanzheng Li, Hao Peng, Sheng Wang, Jingbo Shang, Chao Zhang, Jiaxuan You, Liyuan Liu, Pan Lu, Yu Zhang, Heng Ji, Yejin Choi, Dawn Song, Jimeng Sun, Jiawei Han
2025	—	`conf`	Context Length Alone Hurts LLM Performance Despite Perfect Retrieval. EMNLP (Findings) Yufeng Du, Minyang Tian, Srikanth Ronanki, Subendhu Rongali, Sravan Babu Bodapati, Aram Galstyan, Azton Wells, Roy Schwartz, Eliu A. Huerta, Hao Peng
2025	J	`jnl`	Context Length Alone Hurts LLM Performance Despite Perfect Retrieval. CoRR Yufeng Du, Minyang Tian, Srikanth Ronanki, Subendhu Rongali, Sravan Bodapati, Aram Galstyan, Azton Wells, Roy Schwartz, Eliu A. Huerta, Hao Peng
2025	A*	`conf`	Eliminating Position Bias of Language Models: A Mechanistic Approach. ICLR Ziqi Wang, Hanlin Zhang, Xiner Li, Kuan-Hao Huang, Chi Han, Shuiwang Ji, Sham M. Kakade, Hao Peng, Heng Ji
2025	—	`conf`	FACTCHECKMATE: Preemptively Detecting and Mitigating Hallucinations in LMs. EMNLP (Findings) Deema Alnuhait, Neeraja Kirtane, Muhammad Khalifa, Hao Peng
2025	J	`jnl`	LLMs are Vulnerable to Malicious Prompts Disguised as Scientific Language. CoRR Yubin Ge, Neeraja Kirtane, Hao Peng, Dilek Hakkani-Tür
2025	J	`jnl`	Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark. CoRR Minhui Zhu, Minyang Tian, Xiaocheng Yang, Tianci Zhou, Penghao Zhu, Eli Chertkov, Shengyan Liu, Yufeng Du, Lifan Yuan, Ziming Ji, Indranil Das, Junyi Cao, Jinchen He, Yifan Su, Jiabin Yu, Yikun Jiang, Yujie Zhang, Chang Liu, Ze-Min Huang, Weizhen Jia, Xinan Chen, Peixue Wu, Yunkai Wang, Juntai Zhou, Yong Zhao, Farshid Jafarpour, Jessie Shelton, Aaron Young, John Bartolotta, Wenchao Xu, Yue Sun, Anjun Chu, Victor Colussi, Chris Akers, Nathan Brooks, Wenbo Fu, Christopher Wilson, Jinchao Zhao, Marvin Qi, Anqi Mu, Yubo Yang, Allen Zang, Yang Lyu, Peizhi Mai, Xuefei Guo, Luyu Gao, Ze Yang, Chi Xue, Dmytro Bandak, Yaïr Hein, Yonatan Kahn, S. Kevin Zhou, John Drew Wilson, Jarrod T. Reilly, Di Luo, Daniel Inafuku, Hao Tong, Liang Yang, Ruixing Zhang, Xueying Wang, Ofir Press, Nicolas Chia, Eliu A. Huerta, Hao Peng
2025	J	`jnl`	Process Reward Models That Think. CoRR Muhammad Khalifa, Rishabh Agarwal, Lajanugen Logeswaran, Jaekyeom Kim, Hao Peng, Moontae Lee, Honglak Lee, Lu Wang
2025	J	`jnl`	Reinforcement Learning Finetunes Small Subnetworks in Large Language Models. CoRR Sagnik Mukherjee, Lifan Yuan, Dilek Hakkani-Tur, Hao Peng
2025	A*	`conf`	Scaling Diffusion Language Models via Adaptation from Autoregressive Models. ICLR Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong
2025	J	`jnl`	The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning. CoRR Shivam Agarwal, Zimin Zhang, Lifan Yuan, Jiawei Han, Hao Peng
2025	J	`jnl`	mCLM: A Function-Infused and Synthesis-Friendly Modular Chemical Language Model. CoRR Carl Edwards, Chi Han, Gawon Lee, Thao Nguyen, Bowen Jin, Chetan Prasad, Sara Szymkuc, Bartosz A. Grzybowski, Ying Diao, Jiawei Han, Ge Liu, Hao Peng, Martin D. Burke, Heng Ji
2024	J	`jnl`	A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts. CoRR Suyu Ge, Xihui Lin, Yunan Zhang, Jiawei Han, Hao Peng
2024	J	`jnl`	A Single Transformer for Scalable Vision-Language Modeling. CoRR Yangyi Chen, Xingyao Wang, Hao Peng, Heng Ji
2024	J	`jnl`	A Single Transformer for Scalable Vision-Language Modeling. Trans. Mach. Learn. Res. Yangyi Chen, Xingyao Wang, Hao Peng, Heng Ji
2024	—	`conf`	ActionIE: Action Extraction from Scientific Literature with Programming Languages. ACL (1) Xianrui Zhong, Yufeng Du, Siru Ouyang, Ming Zhong, Tingfeng Luo, Qirong Ho, Hao Peng, Heng Ji, Jiawei Han
2024	A*	`conf`	CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets. ICLR Lifan Yuan, Yangyi Chen, Xingyao Wang, Yi Fung, Hao Peng, Heng Ji
2024	J	`jnl`	Eliminating Position Bias of Language Models: A Mechanistic Approach. CoRR Ziqi Wang, Hanlin Zhang, Xiner Li, Kuan-Hao Huang, Chi Han, Shuiwang Ji, Sham M. Kakade, Hao Peng, Heng Ji
2024	A*	`conf`	Executable Code Actions Elicit Better LLM Agents. ICML Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji
2024	J	`jnl`	Executable Code Actions Elicit Better LLM Agents. CoRR Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji
2024	J	`jnl`	FactCheckmate: Preemptively Detecting and Mitigating Hallucinations in LMs. CoRR Deema Alnuhait, Neeraja Kirtane, Muhammad Khalifa, Hao Peng
2024	—	`conf`	LETI: Learning to Generate from Textual Interactions. NAACL-HLT (Findings) Xingyao Wang, Hao Peng, Reyhaneh Jabbarvand, Heng Ji
2024	—	`conf`	LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models. NAACL-HLT Chi Han, Qifan Wang, Hao Peng, Wenhan Xiong, Yu Chen, Heng Ji, Sinong Wang
2024	—	`conf`	Language Models Hallucinate, but May Excel at Fact Verification. NAACL-HLT Jian Guan, Jesse Dodge, David Wadden, Minlie Huang, Hao Peng
2024	A*	`conf`	MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback. ICLR Xingyao Wang, Zihan Wang, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng, Heng Ji
2024	—	`conf`	Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals. EMNLP (Findings) Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Raghavi Chandu, Vivek Srikumar, Sameer Singh, Noah A. Smith
2024	J	`jnl`	OpenDevin: An Open Platform for AI Software Developers as Generalist Agents. CoRR 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
2024	J	`jnl`	Scaling Diffusion Language Models via Adaptation from Autoregressive Models. CoRR Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong
2024	A*	`conf`	SciCode: A Research Coding Benchmark Curated by Scientists. NeurIPS Minyang Tian, Luyu Gao, Shizhuo Dylan Zhang, Xinan Chen, Cunwei Fan, Xuefei Guo, Roland Haas, Pan Ji, Kittithat Krongchon, Yao Li, Shengyan Liu, Di Luo, Yutao Ma, Hao Tong, Kha Trinh, Chenyu Tian, Zihan Wang, Bohao Wu, Shengzhu Yin, Minhui Zhu, Kilian Lieret, Yanxin Lu, Genglin Liu, Yufeng Du, Tianhua Tao, Ofir Press, Jamie Callan, Eliu A. Huerta, Hao Peng
2024	J	`jnl`	SciCode: A Research Coding Benchmark Curated by Scientists. CoRR Minyang Tian, Luyu Gao, Shizhuo Dylan Zhang, Xinan Chen, Cunwei Fan, Xuefei Guo, Roland Haas, Pan Ji, Kittithat Krongchon, Yao Li, Shengyan Liu, Di Luo, Yutao Ma, Hao Tong, Kha Trinh, Chenyu Tian, Zihan Wang, Bohao Wu, Yanyu Xiong, Shengzhu Yin, Minhui Zhu, Kilian Lieret, Yanxin Lu, Genglin Liu, Yufeng Du, Tianhua Tao, Ofir Press, Jamie Callan, Eliu A. Huerta, Hao Peng
2024	J	`jnl`	Source-Aware Training Enables Knowledge Attribution in Language Models. CoRR Muhammad Khalifa, David Wadden, Emma Strubell, Honglak Lee, Lu Wang, Iz Beltagy, Hao Peng
2024	A*	`conf`	TRAM: Bridging Trust Regions and Sharpness Aware Minimization. ICLR Tom Sherborne, Naomi Saphra, Pradeep Dasigi, Hao Peng
2023	J	`jnl`	CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets. CoRR Lifan Yuan, Yangyi Chen, Xingyao Wang, Yi R. Fung, Hao Peng, Heng Ji
2023	J	`jnl`	Catwalk: A Unified Language Model Evaluation Framework for Many Datasets. CoRR Dirk Groeneveld, Anas Awadalla, Iz Beltagy, Akshita Bhagia, Ian Magnusson, Hao Peng, Oyvind Tafjord, Pete Walsh, Kyle Richardson, Jesse Dodge
2023	J	`jnl`	Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation. CoRR 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
2023	J	`jnl`	FiLM: Fill-in Language Models for Any-Order Generation. CoRR Tianxiao Shen, Hao Peng, Ruoqi Shen, Yao Fu, Zaïd Harchaoui, Yejin Choi
2023	J	`jnl`	Language Models Hallucinate, but May Excel at Fact Verification. CoRR Jian Guan, Jesse Dodge, David Wadden, Minlie Huang, Hao Peng
2023	J	`jnl`	LeTI: Learning to Generate from Textual Interactions. CoRR Xingyao Wang, Hao Peng, Reyhaneh Jabbarvand, Heng Ji
2023	J	`jnl`	MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback. CoRR Xingyao Wang, Zihan Wang, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng, Heng Ji
2023	J	`jnl`	Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals. CoRR Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Chandu Raghavi, Vivek Srikumar, Sameer Singh, Noah A. Smith
2023	J	`jnl`	Prudent Silence or Foolish Babble? Examining Large Language Models' Responses to the Unknown. CoRR Genglin Liu, Xingyao Wang, Lifan Yuan, Yangyi Chen, Hao Peng
2023	J	`jnl`	TRAM: Bridging Trust Regions and Sharpness Aware Minimization. CoRR Tom Sherborne, Naomi Saphra, Pradeep Dasigi, Hao Peng
2023	J	`jnl`	Transparency Helps Reveal When Language Models Learn Meaning. Trans. Assoc. Comput. Linguistics Zhaofeng Wu, William Merrill, Hao Peng, Iz Beltagy, Noah A. Smith
2022	—	`conf`	ABC: Attention with Bounded-memory Control. ACL (1) Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith
2022	—	`conf`	How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers. EMNLP (Findings) Michael Hassid, Hao Peng, Daniel Rotem, Jungo Kasai, Ivan Montero, Noah A. Smith, Roy Schwartz
2022	J	`jnl`	How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers. CoRR Michael Hassid, Hao Peng, Daniel Rotem, Jungo Kasai, Ivan Montero, Noah A. Smith, Roy Schwartz
2022	—	`conf`	Modeling Context With Linear Attention for Scalable Document-Level Translation. EMNLP (Findings) Zhaofeng Wu, Hao Peng, Nikolaos Pappas, Noah A. Smith
2022	J	`jnl`	Modeling Context With Linear Attention for Scalable Document-Level Translation. CoRR Zhaofeng Wu, Hao Peng, Nikolaos Pappas, Noah A. Smith
2022	—	`conf`	Tailor: Generating and Perturbing Text with Semantic Controls. ACL (1) Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner
2022	—	`—`	Towards Efficient and Generalizable Natural Language Processing Hao Peng
2022	J	`jnl`	Transparency Helps Reveal When Language Models Learn Meaning. CoRR Zhaofeng Wu, William Merrill, Hao Peng, Iz Beltagy, Noah A. Smith
2022	A*	`conf`	Twist Decoding: Diverse Generators Guide Each Other. EMNLP Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir Radev, Yejin Choi, Noah A. Smith
2022	J	`jnl`	Twist Decoding: Diverse Generators Guide Each Other. CoRR Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir R. Radev, Yejin Choi, Noah A. Smith
2021	J	`jnl`	ABC: Attention with Bounded-memory Control. CoRR Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith
2021	—	`conf`	Contextualized Perturbation for Textual Adversarial Attack. NAACL-HLT Dianqi Li, Yizhe Zhang, Hao Peng, Liqun Chen, Chris Brockett, Ming-Ting Sun, Bill Dolan
2021	A*	`conf`	Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation. ICLR Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah A. Smith
2021	—	`conf`	Finetuning Pretrained Transformers into RNNs. EMNLP (1) Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco, Nikolaos Pappas, Yi Mao, Weizhu Chen, Noah A. Smith
2021	J	`jnl`	Finetuning Pretrained Transformers into RNNs. CoRR Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco, Nikolaos Pappas, Yi Mao, Weizhu Chen, Noah A. Smith
2021	J	`jnl`	Infusing Finetuning with Semantic Dependencies. Trans. Assoc. Comput. Linguistics Zhaofeng Wu, Hao Peng, Noah A. Smith
2021	A*	`conf`	Random Feature Attention. ICLR Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong
2021	J	`jnl`	Random Feature Attention. CoRR Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong
2021	J	`jnl`	Tailor: Generating and Perturbing Text with Semantic Controls. CoRR Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner
2020	A*	`conf`	A Mixture of h - 1 Heads is Better than h Heads. ACL Hao Peng, Roy Schwartz, Dianqi Li, Noah A. Smith
2020	J	`jnl`	A Mixture of h-1 Heads is Better than h Heads. CoRR Hao Peng, Roy Schwartz, Dianqi Li, Noah A. Smith
2020	J	`jnl`	Contextualized Perturbation for Textual Adversarial Attack. CoRR Dianqi Li, Yizhe Zhang, Hao Peng, Liqun Chen, Chris Brockett, Ming-Ting Sun, Bill Dolan
2020	J	`jnl`	Deep Encoder, Shallow Decoder: Reevaluating the Speed-Quality Tradeoff in Machine Translation. CoRR Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah A. Smith
2020	J	`jnl`	Infusing Finetuning with Semantic Dependencies. CoRR Zhaofeng Wu, Hao Peng, Noah A. Smith
2019	—	`conf`	PaLM: A Hybrid Parser and Language Model. EMNLP/IJCNLP (1) Hao Peng, Roy Schwartz, Noah A. Smith
2019	J	`jnl`	PaLM: A Hybrid Parser and Language Model. CoRR Hao Peng, Roy Schwartz, Noah A. Smith
2019	—	`conf`	RNN Architecture Learning with Sparse Regularization. EMNLP/IJCNLP (1) Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith
2019	J	`jnl`	RNN Architecture Learning with Sparse Regularization. CoRR Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith
2018	A*	`conf`	"You are no Jack Kennedy": On Media Selection of Highlights from Presidential Debates. WWW Chenhao Tan, Hao Peng, Noah A. Smith
2018	J	`jnl`	"You are no Jack Kennedy": On Media Selection of Highlights from Presidential Debates. CoRR Chenhao Tan, Hao Peng, Noah A. Smith
2018	—	`conf`	Backpropagating through Structured Argmax using a SPIGOT. ACL (1) Hao Peng, Sam Thomson, Noah A. Smith
2018	J	`jnl`	Backpropagating through Structured Argmax using a SPIGOT. CoRR Hao Peng, Sam Thomson, Noah A. Smith
2018	—	`conf`	Learning Joint Semantic Parsers from Disjoint Data. NAACL-HLT Hao Peng, Sam Thomson, Swabha Swayamdipta, Noah A. Smith
2018	J	`jnl`	Learning Joint Semantic Parsers from Disjoint Data. CoRR Hao Peng, Sam Thomson, Swabha Swayamdipta, Noah A. Smith
2018	A*	`conf`	Rational Recurrences. EMNLP Hao Peng, Roy Schwartz, Sam Thomson, Noah A. Smith
2018	J	`jnl`	Rational Recurrences. CoRR Hao Peng, Roy Schwartz, Sam Thomson, Noah A. Smith
2017	—	`conf`	Deep Multitask Learning for Semantic Dependency Parsing. ACL (1) Hao Peng, Sam Thomson, Noah A. Smith
2017	J	`jnl`	Deep Multitask Learning for Semantic Dependency Parsing. CoRR Hao Peng, Sam Thomson, Noah A. Smith