Kexun Zhang

40 papers A* 8A 1B 1Journal 22Unranked 8
YearRankTypeTitle / Venue / Authors
2025 A* conf
DeFT: Decoding with Flash Tree-attention for Efficient Tree-structured LLM Inference.
ICLR
Jinwei Yao, Kaiqi Chen, Kexun Zhang, Jiaxuan You, Binhang Yuan, Zeke Wang, Tao Lin
2025 A* conf
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents.
ICLR
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
2025 B conf
Extrapolating to Unknown Opinions Using LLMs.
COLING
Kexun Zhang, Jane Dwivedi-Yu, Zhaojiang Lin, Yuning Mao, William Yang Wang, Lei Li, Yi-Chia Wang
2025 A* conf
Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data.
ICLR
Xinyi Wang, Antonis Antoniades, Yanai Elazar, Alfonso Amayuelas, Alon Albalak, Kexun Zhang, William Yang Wang
2025 J jnl
HardTests: Synthesizing High-Quality Test Cases for LLM Coding.
CoRR
Zhongmou He, Yee Man Choi, Kexun Zhang, Jiabao Ji, Junting Zhou, Dejia Xu, Ivan Bercovich, Aidan Zhang, Lei Li
2025 — conf
Human Bias in the Face of AI: Examining Human Judgment Against Text Labeled as AI Generated.
ACL (Findings)
Tiffany Zhu, Iain Weissburg, Kexun Zhang, William Yang Wang
2025 J jnl
Is Vibe Coding Safe? Benchmarking Vulnerability of Agent-Generated Code in Real-World Tasks.
CoRR
Songwen Zhao, Danqing Wang, Kexun Zhang, Jiaxuan Luo, Zhuo Li, Lei Li
2025 — conf
Programming by Example meets Historical Linguistics: A Large Language Model Based Approach to Sound Law Induction.
ACL (1)
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
2025 J jnl
Programming by Examples Meets Historical Linguistics: A Large Language Model Based Approach to Sound Law Induction.
CoRR
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
2025 — conf
Revealing the Barriers of Language Agents in Planning.
NAACL (Long Papers)
Jian Xie, Kexun Zhang, Jiangjie Chen, Siyu Yuan, Kai Zhang, Yikai Zhang, Lei Li, Yanghua Xiao
2025 A* conf
SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement.
ICLR
Antonis Antoniades, Albert Örwall, Kexun Zhang, Yuxi Xie, Anirudh Goyal, William Yang Wang
2025 — conf
Scaling LLM Inference Efficiently with Optimized Sample Compute Allocation.
NAACL (Long Papers)
Kexun Zhang, Shang Zhou, Danqing Wang, William Yang Wang, Lei Li
2024 J jnl
Can Large Language Models Code Like a Linguist?: A Case Study in Low Resource Sound Law Induction.
CoRR
Atharva Naik, Kexun Zhang, Nathaniel R. Robinson, Aravind Mysore, Clayton Marr, Hong Sng, Rebecca Byrnes, Anna Cai, Kalvin Chang, David R. Mortensen
2024 J jnl
DeFT: Flash Tree-attention with IO-Awareness for Efficient Tree-search-based LLM Inference.
CoRR
Jinwei Yao, Kaiqi Chen, Kexun Zhang, Jiaxuan You, Binhang Yuan, Zeke Wang, Tao Lin
2024 J jnl
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents.
CoRR
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
2024 J jnl
Embracing AI in Education: Understanding the Surge in Large Language Model Use by Secondary Students.
CoRR
Tiffany Zhu, Kexun Zhang, William Yang Wang
2024 J jnl
Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data.
CoRR
Antonis Antoniades, Xinyi Wang, Yanai Elazar, Alfonso Amayuelas, Alon Albalak, Kexun Zhang, William Yang Wang
2024 — conf
Hire a Linguist!: Learning Endangered Languages in LLMs with In-Context Linguistic Descriptions.
ACL (Findings)
Kexun Zhang, Yee Man Choi, Zhenqiao Song, Taiqi He, William Yang Wang, Lei Li
2024 J jnl
Hire a Linguist!: Learning Endangered Languages with In-Context Linguistic Descriptions.
CoRR
Kexun Zhang, Yee Man Choi, Zhenqiao Song, Taiqi He, William Yang Wang, Lei Li
2024 J jnl
Human Bias in the Face of AI: The Role of Human Judgement in AI Generated Text Evaluation.
CoRR
Tiffany Zhu, Iain Weissburg, Kexun Zhang, William Yang Wang
2024 A* conf
Invisible Image Watermarks Are Provably Removable Using Generative AI.
NeurIPS
Xuandong Zhao, Kexun Zhang, Zihao Su, Saastha Vasan, Ilya Grishchenko, Christopher Kruegel, Giovanni Vigna, Yu-Xiang Wang, Lei Li
2024 J jnl
Revealing the Barriers of Language Agents in Planning.
CoRR
Jian Xie, Kexun Zhang, Jiangjie Chen, Siyu Yuan, Kai Zhang, Yikai Zhang, Lei Li, Yanghua Xiao
2024 J jnl
SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement.
CoRR
Antonis Antoniades, Albert Örwall, Kexun Zhang, Yuxi Xie, Anirudh Goyal, William Yang Wang
2024 J jnl
Scaling LLM Inference with Optimized Sample Compute Allocation.
CoRR
Kexun Zhang, Shang Zhou, Danqing Wang, William Yang Wang, Lei Li
2024 A* conf
Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation.
ICML
Xinyi Wang, Alfonso Amayuelas, Kexun Zhang, Liangming Pan, Wenhu Chen, William Yang Wang
2024 J jnl
Understanding the Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation.
CoRR
Xinyi Wang, Alfonso Amayuelas, Kexun Zhang, Liangming Pan, Wenhu Chen, William Yang Wang
2023 A* conf
ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers.
NeurIPS
Kexun Zhang, Danqing Wang, Jingtao Xia, William Yang Wang, Lei Li
2023 J jnl
ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers.
CoRR
Kexun Zhang, Danqing Wang, Jingtao Xia, William Yang Wang, Lei Li
2023 J jnl
Generative Autoencoders as Watermark Attackers: Analyses of Vulnerabilities and Threats.
CoRR
Xuandong Zhao, Kexun Zhang, Yu-Xiang Wang, Lei Li
2023 — conf
Large Language Models Are Partially Primed in Pronoun Interpretation.
ACL (Findings)
Suet-Ying Lam, Qingcheng Zeng, Kexun Zhang, Chenyu You, Rob Voigt
2023 J jnl
Large Language Models Are Partially Primed in Pronoun Interpretation.
CoRR
Suet-Ying Lam, Qingcheng Zeng, Kexun Zhang, Chenyu You, Rob Voigt
2023 A* conf
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval.
ICML
Kexun Zhang, Xianjun Yang, William Yang Wang, Lei Li
2023 J jnl
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval.
CoRR
Kexun Zhang, Xianjun Yang, William Yang Wang, Lei Li
2023 J jnl
Syntax Error-Free and Generalizable Tool Use for LLMs via Finite-State Decoding.
CoRR
Kexun Zhang, Hongqiao Chen, Lei Li, William Yang Wang
2023 J jnl
Zero-Shot Detection of Machine-Generated Codes.
CoRR
Xianjun Yang, Kexun Zhang, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng
2022 — conf
A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation.
NAACL-HLT
Kexun Zhang, Rui Wang, Xu Tan, Junliang Guo, Yi Ren, Tao Qin, Tie-Yan Liu
2022 J jnl
A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation.
CoRR
Kexun Zhang, Rui Wang, Xu Tan, Junliang Guo, Yi Ren, Tao Qin, Tie-Yan Liu
2022 — conf
Focus on the Action: Learning to Highlight and Summarize Jointly for Email To-Do Items Summarization.
ACL (Findings)
Kexun Zhang, Jiaao Chen, Diyi Yang
2021 A conf
WSRGlow: A Glow-Based Waveform Generative Model for Audio Super-Resolution.
Interspeech
Kexun Zhang, Yi Ren, Changliang Xu, Zhou Zhao
2021 J jnl
WSRGlow: A Glow-based Waveform Generative Model for Audio Super-Resolution.
CoRR
Kexun Zhang, Yi Ren, Changliang Xu, Zhou Zhao