Changran Hu - RankMe

18 papers Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces. CoRR 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
2026	J	`jnl`	Test-Time Adaptation via Many-Shot Prompting: Benefits, Limits, and Pitfalls. CoRR Shubhangi Upasani, Chen Wu, Jay Rainton, Bo Li, Urmish Thakker, Changran Hu, Qizheng Zhang
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	J	`jnl`	Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models. CoRR 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
2025	J	`jnl`	Distilling Tool Knowledge into Language Models via Back-Translated Traces. CoRR Xingyue Huang, Xianglong Hu, Zifeng Ding, Yuan He, Rishabh, Waleed Alzarooni, Ziyu Ye, Wendong Fan, Bailan He, Haige Bo, Changran Hu, Guohao Li
2025	—	`conf`	First Demonstration of MRM on Low-Loss SiN-SOI Platform for High-Density and Low-Power Optical Interconnection. ECOC Xu Wang, Wen Zheng, Changran Hu, Yuan Xia, Fangyi Tang, Lingbo Zhou, Chengwen Xu, Ruiqiang Ji
2025	J	`jnl`	LLMs Know What to Drop: Self-Attention Guided KV Cache Eviction for Efficient Long-Context Inference. CoRR Guangtao Wang, Shubhangi Upasani, Chen Wu, Darshan Gandhi, Jonathan Li, Changran Hu, Bo Li, Urmish Thakker
2025	J	`jnl`	Training Domain Draft Models for Speculative Decoding: Best Practices and Insights. CoRR Fenglu Hong, Ravi Raju, Jonathan Lingjie Li, Bo Li, Urmish Thakker, Avinash Ravichandran, Swayambhoo Jain, Changran Hu
2024	J	`jnl`	SambaLingo: Teaching Large Language Models New Languages. CoRR Zoltan Csaki, Bo Li, Jonathan Li, Qiantong Xu, Pian Pawakapan, Leon Zhang, Yun Du, Hengyu Zhao, Changran Hu, Urmish Thakker
2024	J	`jnl`	SubgoalXL: Subgoal-based Expert Learning for Theorem Proving. CoRR Xueliang Zhao, Lin Zheng, Haige Bo, Changran Hu, Urmish Thakker, Lingpeng Kong
2023	—	`conf`	AI SoC Design Challenges in the Foundation Model Era. CICC 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
2023	J	`jnl`	On the Tool Manipulation Capability of Open-source Large Language Models. CoRR Qiantong Xu, Fenglu Hong, Bo Li, Changran Hu, Zhengyu Chen, Jian Zhang
2022	J	`jnl`	Programming Language Agnostic Mining of Code and Language Pairs with Sequence Labeling Based Question Answering. CoRR Changran Hu, Akshara Reddi Methukupalli, Yutong Zhou, Chen Wu, Yubo Chen
2021	J	`jnl`	Generating Code with the Help of Retrieved Template Functions and Stack Overflow Answers. CoRR Dawn Drain, Changran Hu, Chen Wu, Mikhail Breslav, Neel Sundaresan
2021	—	`conf`	Jointly Extracting Explicit and Implicit Relational Triples with Reasoning Pattern Enhanced Binary Pointer Network. NAACL-HLT Yubo Chen, Yunqi Zhang, Changran Hu, Yongfeng Huang
2020	J	`jnl`	A Hierarchical Recurrent Neural Network for Symbolic Melody Generation. IEEE Trans. Cybern. Jian Wu, Changran Hu, Yulong Wang, Xiaolin Hu, Jun Zhu
2018	—	`conf`	Classifying Learner Behavior from High Frequency Touchscreen Data Using Recurrent Neural Networks. UMAP (Adjunct Publication) Zachary A. Pardos, Changran Hu, Pengqiu Meng, Michael Neff, Dor Abrahamson
2017	J	`jnl`	A Hierarchical Recurrent Neural Network for Symbolic Melody Generation. CoRR Jian Wu, Changran Hu, Yulong Wang, Xiaolin Hu, Jun Zhu