WSRGlow: A Glow-Based Waveform Generative Model for Audio Super-Resolution. - Kexun Zhang; Yi Ren 006; Changliang Xu; Zhou Zhao 001 (Interspeech, 2021)

Focus on the Action: Learning to Highlight and Summarize Jointly for Email To-Do Items Summarization. - Kexun Zhang; Jiaao Chen; Diyi Yang (ACL (Findings), 2022)

A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation. - Kexun Zhang; Rui Wang 028; Xu Tan 003; Junliang Guo; Yi Ren 006; Tao Qin 001; Tie-Yan Liu (NAACL-HLT, 2022)

Large Language Models Are Partially Primed in Pronoun Interpretation. - Suet-Ying Lam; Qingcheng Zeng; Kexun Zhang; Chenyu You; Rob Voigt (ACL (Findings), 2023)

ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval. - Kexun Zhang; Xianjun Yang; William Yang Wang; Lei Li 005 (ICML, 2023)

ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers. - Kexun Zhang; Danqing Wang; Jingtao Xia; William Yang Wang; Lei Li 005 (NeurIPS, 2023)

Generative Autoencoders as Watermark Attackers: Analyses of Vulnerabilities and Threats. - Xuandong Zhao; Kexun Zhang; Yu-Xiang Wang 003; Lei Li 005 (CoRR, 2023)

Zero-Shot Detection of Machine-Generated Codes. - Xianjun Yang; Kexun Zhang; Haifeng Chen; Linda R. Petzold; William Yang Wang; Wei Cheng 002 (CoRR, 2023)

Syntax Error-Free and Generalizable Tool Use for LLMs via Finite-State Decoding. - Kexun Zhang; Hongqiao Chen; Lei Li 005; William Yang Wang (CoRR, 2023)

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 005 (ACL (Findings), 2024)

Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation. - Xinyi Wang 003; Alfonso Amayuelas; Kexun Zhang; Liangming Pan; Wenhu Chen; William Yang Wang (ICML, 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 003; Lei Li 005 (NeurIPS, 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 005 (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)

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)

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. - Kexun Zhang; Weiran Yao; Zuxin Liu; Yihao Feng; Zhiwei Liu 001; Rithesh Murthy; Tian Lan 006; Lei Li 005; Renze Lou; Jiacheng Xu 001; Bo Pang 004; Yingbo Zhou; et al. (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)

Scaling LLM Inference with Optimized Sample Compute Allocation. - Kexun Zhang; Shang Zhou; Danqing Wang; William Yang Wang; Lei Li 005 (CoRR, 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)

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 (ACL (1), 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 (ACL (Findings), 2025)

Extrapolating to Unknown Opinions Using LLMs. - Kexun Zhang; Jane Dwivedi-Yu; Zhaojiang Lin; Yuning Mao; William Yang Wang; Lei Li 005; Yi-Chia Wang (COLING, 2025)

Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data. - Xinyi Wang 003; Antonis Antoniades; Yanai Elazar; Alfonso Amayuelas; Alon Albalak; Kexun Zhang; William Yang Wang (ICLR, 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 (ICLR, 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 (ICLR, 2025)

Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. - Kexun Zhang; Weiran Yao; Zuxin Liu; Yihao Feng; Zhiwei Liu 001; Rithesh R. N.; Tian Lan 006; Lei Li 005; Renze Lou; Jiacheng Xu 001; Bo Pang 004; Yingbo Zhou; et al. (ICLR, 2025)

Revealing the Barriers of Language Agents in Planning. - Jian Xie; Kexun Zhang; Jiangjie Chen; Siyu Yuan; Kai Zhang 033; Yikai Zhang 004; Lei Li 005; Yanghua Xiao (NAACL (Long Papers), 2025)

Scaling LLM Inference Efficiently with Optimized Sample Compute Allocation. - Kexun Zhang; Shang Zhou; Danqing Wang; William Yang Wang; Lei Li 005 (NAACL (Long Papers), 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, 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, 2025)