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ORCIDHao Peng 0018
Person information
- affiliation: University of Edinburgh, Edinburgh, GB
Other persons with the same name
- Hao Peng — disambiguation page
- Hao Peng 0001
![[0000-0001-7422-630X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-7422-630X")
— 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 0009 — University of Illinois Urbana-Champaign, IL, USA (and 1 more)
- 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 0019 — Stony Brook University, Stony Brook, NY, USA
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Conference and Workshop Papers
- 2024
[c3]Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng:
Data Engineering for Scaling Language Models to 128K Context. ICML 2024- 2023
- [c2]Yao Fu, Hao Peng, Ashish Sabharwal, Peter Clark, Tushar Khot:
Complexity-Based Prompting for Multi-step Reasoning. ICLR 2023 - [c1]Yao Fu, Hao Peng, Litu Ou, Ashish Sabharwal, Tushar Khot:
Specializing Smaller Language Models towards Multi-Step Reasoning. ICML 2023: 10421-10430
Informal and Other Publications
- 2024
- [i6]Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng:
Data Engineering for Scaling Language Models to 128K Context. CoRR abs/2402.10171 (2024) - [i5]Wenhao Wu, Yizhong Wang, Guangxuan Xiao, Hao Peng, Yao Fu:
Retrieval Head Mechanistically Explains Long-Context Factuality. CoRR abs/2404.15574 (2024) - 2023
- [i4]Yao Fu, Hao Peng, Litu Ou, Ashish Sabharwal, Tushar Khot:
Specializing Smaller Language Models towards Multi-Step Reasoning. CoRR abs/2301.12726 (2023) - [i3]Yao Fu, Hao Peng, Tushar Khot, Mirella Lapata:
Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback. CoRR abs/2305.10142 (2023) - [i2]Yao Fu, Litu Ou, Mingyu Chen, Yuhao Wan, Hao Peng, Tushar Khot:
Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance. CoRR abs/2305.17306 (2023) - 2022
- [i1]Yao Fu, Hao Peng, Ashish Sabharwal, Peter Clark, Tushar Khot:
Complexity-Based Prompting for Multi-Step Reasoning. CoRR abs/2210.00720 (2022)
Coauthor Index
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