Changran Hu

According to our database, Changran Hu authored at least 18 papers between 2018 and 2026.

Collaborative distances:

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

2026

LLM Agents Enable User-Governed Personalization Beyond Platform Boundaries.

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

CoRR, May, 2026

Test-Time Adaptation via Many-Shot Prompting: Benefits, Limits, and Pitfalls.

Shubhangi Upasani, Chen Wu, Jay Rainton, Bo Li, Urmish Thakker, Changran Hu, Qizheng Zhang

CoRR, March, 2026

Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces.

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

CoRR, January, 2026

2025

Adaptation of Agentic AI.

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

CoRR, December, 2025

Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models.

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

CoRR, October, 2025

Distilling Tool Knowledge into Language Models via Back-Translated Traces.

Xingyue Huang, Xianglong Hu, Zifeng Ding, Yuan He, Rishabh, Waleed Alzarooni, Ziyu Ye, Wendong Fan, Bailan He, Haige Bo, Changran Hu, Guohao Li

CoRR, June, 2025

LLMs Know What to Drop: Self-Attention Guided KV Cache Eviction for Efficient Long-Context Inference.

Guangtao Wang, Shubhangi Upasani, Chen Wu, Darshan Gandhi, Jonathan Li, Changran Hu, Bo Li, Urmish Thakker

CoRR, March, 2025

Training Domain Draft Models for Speculative Decoding: Best Practices and Insights.

Fenglu Hong, Ravi Raju, Jonathan Lingjie Li, Bo Li, Urmish Thakker, Avinash Ravichandran, Swayambhoo Jain, Changran Hu

CoRR, March, 2025

First Demonstration of MRM on Low-Loss SiN-SOI Platform for High-Density and Low-Power Optical Interconnection.

Xu Wang, Wen Zheng, Changran Hu, Yuan Xia, Fangyi Tang, Lingbo Zhou, Chengwen Xu, Ruiqiang Ji

Proceedings of the European Conference on Optical Communications, 2025

2024

SubgoalXL: Subgoal-based Expert Learning for Theorem Proving.

Xueliang Zhao, Lin Zheng, Haige Bo, Changran Hu, Urmish Thakker, Lingpeng Kong

CoRR, 2024

SambaLingo: Teaching Large Language Models New Languages.

Zoltan Csaki, Bo Li, Jonathan Li, Qiantong Xu, Pian Pawakapan, Leon Zhang, Yun Du, Hengyu Zhao, Changran Hu, Urmish Thakker

CoRR, 2024

2023

On the Tool Manipulation Capability of Open-source Large Language Models.

Qiantong Xu, Fenglu Hong, Bo Li, Changran Hu, Zhengyu Chen, Jian Zhang

CoRR, 2023

AI SoC Design Challenges in the Foundation Model Era.

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

Proceedings of the IEEE Custom Integrated Circuits Conference, 2023

2022

Programming Language Agnostic Mining of Code and Language Pairs with Sequence Labeling Based Question Answering.

Changran Hu, Akshara Reddi Methukupalli, Yutong Zhou, Chen Wu, Yubo Chen

CoRR, 2022

2021

Generating Code with the Help of Retrieved Template Functions and Stack Overflow Answers.

Dawn Drain, Changran Hu, Chen Wu, Mikhail Breslav, Neel Sundaresan

CoRR, 2021

Jointly Extracting Explicit and Implicit Relational Triples with Reasoning Pattern Enhanced Binary Pointer Network.

Yubo Chen, Yunqi Zhang, Changran Hu, Yongfeng Huang

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

2020

A Hierarchical Recurrent Neural Network for Symbolic Melody Generation.

Jian Wu, Changran Hu, Yulong Wang, Xiaolin Hu, Jun Zhu

IEEE Trans. Cybern., 2020

2018

Classifying Learner Behavior from High Frequency Touchscreen Data Using Recurrent Neural Networks.

Zachary A. Pardos, Changran Hu, Pengqiu Meng, Michael Neff, Dor Abrahamson

Proceedings of the Adjunct Publication of the 26th Conference on User Modeling, 2018