Kexun Zhang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 20

Top Topics

Passage Retrieval

Top Venues

Publications

Kexun Zhang, Yee Man Choi, Zhenqiao Song, Taiqi He, William Yang Wang, Lei Li
Hire a Linguist!: Learning Endangered Languages with In-Context Linguistic Descriptions. CoRR (2024)
Kexun Zhang, Yee Man Choi, Zhenqiao Song, Taiqi He, William Yang Wang, Lei Li
Hire a Linguist!: Learning Endangered Languages in LLMs with In-Context Linguistic Descriptions. ACL (Findings) (2024)
Jinwei Yao, Kaiqi Chen, Kexun Zhang, Jiaxuan You, Binhang Yuan, Zeke Wang, Tao Lin
DeFT: Flash Tree-attention with IO-Awareness for Efficient Tree-search-based LLM Inference. CoRR (2024)
Atharva Naik, Kexun Zhang, Nathaniel Robinson, Aravind Mysore, Clayton Marr, Hong Sng Rebecca Byrnes, Anna Cai, Kalvin Chang, David Mortensen
Can Large Language Models Code Like a Linguist?: A Case Study in Low Resource Sound Law Induction. CoRR (2024)
Xinyi Wang, Alfonso Amayuelas, Kexun Zhang, Liangming Pan, Wenhu Chen, William Yang Wang
Understanding the Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation. CoRR (2024)
Antonis Antoniades, Xinyi Wang, Yanai Elazar, Alfonso Amayuelas, Alon Albalak, Kexun Zhang, William Yang Wang
Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data. CoRR (2024)
Kexun Zhang, Xianjun Yang, William Yang Wang, Lei Li
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval. ICML (2023)
Kexun Zhang, Xianjun Yang, William Yang Wang, Lei Li
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval. CoRR (2023)
Kexun Zhang, Hongqiao Chen, Lei Li, William Yang Wang
Syntax Error-Free and Generalizable Tool Use for LLMs via Finite-State Decoding. CoRR (2023)
Xianjun Yang, Kexun Zhang, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng
Zero-Shot Detection of Machine-Generated Codes. CoRR (2023)
Kexun Zhang, Danqing Wang, Jingtao Xia, William Yang Wang, Lei Li
ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers. CoRR (2023)
Xuandong Zhao, Kexun Zhang, Yu-Xiang Wang, Lei Li
Generative Autoencoders as Watermark Attackers: Analyses of Vulnerabilities and Threats. CoRR (2023)
Suet-Ying Lam, Qingcheng Zeng, Kexun Zhang, Chenyu You, Rob Voigt
Large Language Models Are Partially Primed in Pronoun Interpretation. CoRR (2023)
Kexun Zhang, Danqing Wang, Jingtao Xia, William Yang Wang, Lei Li
ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers. NeurIPS (2023)
Suet-Ying Lam, Qingcheng Zeng, Kexun Zhang, Chenyu You, Rob Voigt
Large Language Models Are Partially Primed in Pronoun Interpretation. ACL (Findings) (2023)
Kexun Zhang, Rui Wang, Xu Tan, Junliang Guo, Yi Ren, Tao Qin, Tie-Yan Liu
A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation. CoRR (2022)
Kexun Zhang, Rui Wang, Xu Tan, Junliang Guo, Yi Ren, Tao Qin, Tie-Yan Liu
A Study of Syntactic Multi-Modality in Non-Autoregressive Machine Translation. NAACL-HLT (2022)
Kexun Zhang, Jiaao Chen, Diyi Yang
Focus on the Action: Learning to Highlight and Summarize Jointly for Email To-Do Items Summarization. ACL (Findings) (2022)
Kexun Zhang, Yi Ren, Changliang Xu, Zhou Zhao
WSRGlow: A Glow-Based Waveform Generative Model for Audio Super-Resolution. Interspeech (2021)
Kexun Zhang, Yi Ren, Changliang Xu, Zhou Zhao
WSRGlow: A Glow-based Waveform Generative Model for Audio Super-Resolution. CoRR (2021)