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2020 – today
- 2026
[i14]Mike A. Merrill, Alexander Glenn Shaw, Nicholas Carlini, Boxuan Li, Harsh Raj, Ivan Bercovich, Lin Shi, Jeong Yeon Shin, Thomas Walshe, Estefany Kelly Buchanan, Junhong Shen, Guanghao Ye, Haowei Lin, Jason Poulos, Maoyu Wang, Marianna Nezhurina, Jenia Jitsev, Di Lu, Orfeas Menis-Mastromichalakis, Zhiwei Xu, Zizhao Chen, Yue Liu, Robert Zhang
, Leon Liangyu Chen, Anurag Kashyap, Jan-Lucas Uslu, Jeffrey Li, Jianbo Wu, Minghao Yan, Song Bian, Vedang Sharma, Ke Sun, Steven Dillmann, Akshay Anand, Andrew Lanpouthakoun, Bardia Koopah, Changran Hu, Etash Kumar Guha, Gabriel H. S. Dreiman, Jiacheng Zhu, Karl Krauth, Li Zhong, Niklas Muennighoff, Robert Amanfu, Shangyin Tan, Shreyas Pimpalgaonkar, Tushar Aggarwal, Xiangning Lin, Xin Lan, Xuandong Zhao, Yiqing Liang, Yuanli Wang, Zilong Wang, Changzhi Zhou, David Heineman, Hange Liu, Harsh Trivedi, John Yang, Junhong Lin, Manish Shetty, Michael Yang, Nabil Omi, Negin Raoof, Shanda Li, Terry Yue Zhuo, Wuwei Lin, Yiwei Dai, Yuxin Wang, Wenhao Chai, Shang Zhou, Dariush Wahdany, Ziyu She, Jiaming Hu, Zhikang Dong, Yuxuan Zhu, Sasha Cui, Ahson Saiyed, Arinbjörn Kolbeinsson, Jesse Hu, Christopher Michael Rytting, Ryan Marten, Yixin Wang, Alex Dimakis, Andy Konwinski, Ludwig Schmidt:
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces. CoRR abs/2601.11868 (2026)- [i13]Shubhangi Upasani, Chen Wu, Jay Rainton, Bo Li, Urmish Thakker, Changran Hu, Qizheng Zhang:
Test-Time Adaptation via Many-Shot Prompting: Benefits, Limits, and Pitfalls. CoRR abs/2603.05829 (2026) - [i12]Jiacheng Lin, Kun Qian, Arvind Srinivasan, Tian Wang, Fang Han, Changran Hu, Junze Liu, Ziyi Wang, Hanwen Xu, Mengmeng Xue, Shuo Yang, Hansi Zeng, Simon Sinong Zhan, Kai Zhong, Weiqi Zhang, Dakuo Wang, Tianhao Wang, Zhiyuan Li:
LLM Agents Enable User-Governed Personalization Beyond Platform Boundaries. CoRR abs/2605.09794 (2026) - 2025
- [c4]Xu Wang, Wen Zheng, Changran Hu, Yuan Xia, Fangyi Tang, Lingbo Zhou, Chengwen Xu, Ruiqiang Ji:
First Demonstration of MRM on Low-Loss SiN-SOI Platform for High-Density and Low-Power Optical Interconnection. ECOC 2025: 1-4 - [i11]Fenglu Hong, Ravi Raju, Jonathan Lingjie Li, Bo Li, Urmish Thakker, Avinash Ravichandran, Swayambhoo Jain, Changran Hu:
Training Domain Draft Models for Speculative Decoding: Best Practices and Insights. CoRR abs/2503.07807 (2025) - [i10]Guangtao Wang, Shubhangi Upasani, Chen Wu, Darshan Gandhi, Jonathan Li, Changran Hu, Bo Li, Urmish Thakker:
LLMs Know What to Drop: Self-Attention Guided KV Cache Eviction for Efficient Long-Context Inference. CoRR abs/2503.08879 (2025) - [i9]Xingyue Huang, Xianglong Hu, Zifeng Ding, Yuan He, Rishabh, Waleed Alzarooni, Ziyu Ye, Wendong Fan, Bailan He, Haige Bo, Changran Hu, Guohao Li:
Distilling Tool Knowledge into Language Models via Back-Translated Traces. CoRR abs/2506.19171 (2025) - [i8]Qizheng Zhang, Changran Hu, Shubhangi Upasani, Boyuan Ma, Fenglu Hong, Vamsidhar Kamanuru, Jay Rainton, Chen Wu, Mengmeng Ji, Hanchen Li, Urmish Thakker, James Zou, Kunle Olukotun:
Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models. CoRR abs/2510.04618 (2025) - [i7]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:
Adaptation of Agentic AI. CoRR abs/2512.16301 (2025) - 2024
- [i6]Zoltan Csaki, Bo Li, Jonathan Li, Qiantong Xu, Pian Pawakapan, Leon Zhang, Yun Du, Hengyu Zhao, Changran Hu, Urmish Thakker:
SambaLingo: Teaching Large Language Models New Languages. CoRR abs/2404.05829 (2024) - [i5]Xueliang Zhao, Lin Zheng, Haige Bo, Changran Hu, Urmish Thakker, Lingpeng Kong:
SubgoalXL: Subgoal-based Expert Learning for Theorem Proving. CoRR abs/2408.11172 (2024) - 2023
- [c3]Zhengyu Chen, Dawei Huang, Mingran Wang, Bowen Yang, Jinuk Luke Shin, Changran Hu, Bo Li, Raghu Prabhakar, Gao Deng, Yongning Sheng, Sihua Fu, Lu Yuan, Tian Zhao, Yun Du, Chen Liu, Jun Yang, Viren Shah, Venkat Srinivasan, Sumti Jairath:
AI SoC Design Challenges in the Foundation Model Era. CICC 2023: 1-8 - [i4]Qiantong Xu, Fenglu Hong, Bo Li, Changran Hu, Zhengyu Chen, Jian Zhang:
On the Tool Manipulation Capability of Open-source Large Language Models. CoRR abs/2305.16504 (2023) - 2022
- [i3]Changran Hu, Akshara Reddi Methukupalli, Yutong Zhou, Chen Wu, Yubo Chen:
Programming Language Agnostic Mining of Code and Language Pairs with Sequence Labeling Based Question Answering. CoRR abs/2203.10744 (2022) - 2021
- [c2]Yubo Chen, Yunqi Zhang, Changran Hu, Yongfeng Huang:
Jointly Extracting Explicit and Implicit Relational Triples with Reasoning Pattern Enhanced Binary Pointer Network. NAACL-HLT 2021: 5694-5703 - [i2]Dawn Drain, Changran Hu, Chen Wu, Mikhail Breslav, Neel Sundaresan:
Generating Code with the Help of Retrieved Template Functions and Stack Overflow Answers. CoRR abs/2104.05310 (2021) - 2020
- [j1]Jian Wu, Changran Hu, Yulong Wang, Xiaolin Hu, Jun Zhu:
A Hierarchical Recurrent Neural Network for Symbolic Melody Generation. IEEE Trans. Cybern. 50(6): 2749-2757 (2020)
2010 – 2019
- 2018
- [c1]Zachary A. Pardos, Changran Hu, Pengqiu Meng, Michael Neff, Dor Abrahamson:
Classifying Learner Behavior from High Frequency Touchscreen Data Using Recurrent Neural Networks. UMAP (Adjunct Publication) 2018: 317-322 - 2017
- [i1]Jian Wu, Changran Hu, Yulong Wang, Xiaolin Hu, Jun Zhu:
A Hierarchical Recurrent Neural Network for Symbolic Melody Generation. CoRR abs/1712.05274 (2017)
Coauthor Index
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