Kexun Zhang

According to our database, Kexun Zhang authored at least 30 papers between 2021 and 2025.

Collaborative distances:

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

2025

HardTests: Synthesizing High-Quality Test Cases for LLM Coding.

Zhongmou He, Yee Man Choi, Kexun Zhang, Jiabao Ji, Junting Zhou, Dejia Xu, Ivan Bercovich, Aidan Zhang, Lei Li

CoRR, May, 2025

Programming by Examples Meets Historical Linguistics: A Large Language Model Based Approach to Sound Law Induction.

Atharva Naik, Darsh Agrawal, Hong Sng, Clayton Marr, Kexun Zhang, Nathaniel R. Robinson, Kalvin Chang, Rebecca Byrnes, Aravind Mysore, Carolyn P. Rosé, David R. Mortensen

CoRR, January, 2025

Scaling LLM Inference Efficiently with Optimized Sample Compute Allocation.

Kexun Zhang, Shang Zhou, Danqing Wang, William Yang Wang, Lei Li

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Revealing the Barriers of Language Agents in Planning.

Jian Xie, Kexun Zhang, Jiangjie Chen, Siyu Yuan, Kai Zhang, Yikai Zhang, Lei Li, Yanghua Xiao

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents.

Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, Rithesh R. N., Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference.

Jinwei Yao, Kaiqi Chen, Kexun Zhang, Jiaxuan You, Binhang Yuan, Zeke Wang, Tao Lin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement.

Antonis Antoniades, Albert Örwall, Kexun Zhang, Yuxi Xie, Anirudh Goyal, William Yang Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data.

Xinyi Wang, Antonis Antoniades, Yanai Elazar, Alfonso Amayuelas, Alon Albalak, Kexun Zhang, William Yang Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Extrapolating to Unknown Opinions Using LLMs.

Kexun Zhang, Jane Dwivedi-Yu, Zhaojiang Lin, Yuning Mao, William Yang Wang, Lei Li, Yi-Chia Wang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Human Bias in the Face of AI: Examining Human Judgment Against Text Labeled as AI Generated.

Tiffany Zhu, Iain Weissburg, Kexun Zhang, William Yang Wang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Programming by Example meets Historical Linguistics: A Large Language Model Based Approach to Sound Law Induction.

Atharva Naik, Darsh Agrawal, Hong Sng, Clayton Marr, Kexun Zhang, Nathaniel Romney Robinson, Kalvin Chang, Rebecca Byrnes, Aravind Mysore, Carolyn P. Rosé, David R. Mortensen

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Embracing AI in Education: Understanding the Surge in Large Language Model Use by Secondary Students.

Tiffany Zhu, Kexun Zhang, William Yang Wang

CoRR, 2024

Scaling LLM Inference with Optimized Sample Compute Allocation.

Kexun Zhang, Shang Zhou, Danqing Wang, William Yang Wang, Lei Li

CoRR, 2024

Human Bias in the Face of AI: The Role of Human Judgement in AI Generated Text Evaluation.

Tiffany Zhu, Iain Weissburg, Kexun Zhang, William Yang Wang

CoRR, 2024

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents.

Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, Rithesh Murthy, Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong

CoRR, 2024

Can Large Language Models Code Like a Linguist?: A Case Study in Low Resource Sound Law Induction.

Atharva Naik, Kexun Zhang, Nathaniel R. Robinson, Aravind Mysore, Clayton Marr, Hong Sng, Rebecca Byrnes, Anna Cai, Kalvin Chang, David R. Mortensen

CoRR, 2024

DeFT: Flash Tree-attention with IO-Awareness for Efficient Tree-search-based LLM Inference.

Jinwei Yao, Kaiqi Chen, Kexun Zhang, Jiaxuan You, Binhang Yuan, Zeke Wang, Tao Lin

CoRR, 2024

Hire a Linguist!: Learning Endangered Languages with In-Context Linguistic Descriptions.

Kexun Zhang, Yee Man Choi, Zhenqiao Song, Taiqi He, William Yang Wang, Lei Li

CoRR, 2024

Invisible Image Watermarks Are Provably Removable Using Generative AI.

Xuandong Zhao, Kexun Zhang, Zihao Su, Saastha Vasan, Ilya Grishchenko, Christopher Kruegel, Giovanni Vigna, Yu-Xiang Wang, Lei Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation.

Xinyi Wang, Alfonso Amayuelas, Kexun Zhang, Liangming Pan, Wenhu Chen, William Yang Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Hire a Linguist!: Learning Endangered Languages in LLMs with In-Context Linguistic Descriptions.

Kexun Zhang, Yee Man Choi, Zhenqiao Song, Taiqi He, William Yang Wang, Lei Li

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Syntax Error-Free and Generalizable Tool Use for LLMs via Finite-State Decoding.

Kexun Zhang, Hongqiao Chen, Lei Li, William Yang Wang

CoRR, 2023

Zero-Shot Detection of Machine-Generated Codes.

Xianjun Yang, Kexun Zhang, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng

CoRR, 2023

Generative Autoencoders as Watermark Attackers: Analyses of Vulnerabilities and Threats.

Xuandong Zhao, Kexun Zhang, Yu-Xiang Wang, Lei Li

CoRR, 2023

ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers.

Kexun Zhang, Danqing Wang, Jingtao Xia, William Yang Wang, Lei Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval.

Kexun Zhang, Xianjun Yang, William Yang Wang, Lei Li

Proceedings of the International Conference on Machine Learning, 2023

Large Language Models Are Partially Primed in Pronoun Interpretation.

Suet-Ying Lam, Qingcheng Zeng, Kexun Zhang, Chenyu You, Rob Voigt

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation.

Kexun Zhang, Rui Wang, Xu Tan, Junliang Guo, Yi Ren, Tao Qin, Tie-Yan Liu

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Focus on the Action: Learning to Highlight and Summarize Jointly for Email To-Do Items Summarization.

Kexun Zhang, Jiaao Chen, Diyi Yang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

WSRGlow: A Glow-Based Waveform Generative Model for Audio Super-Resolution.

Kexun Zhang, Yi Ren, Changliang Xu, Zhou Zhao

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021