Lin Lee Cheong

According to our database, Lin Lee Cheong authored at least 12 papers between 2013 and 2025.

Collaborative distances:

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

2025

PromptPrism: A Linguistically-Inspired Taxonomy for Prompts.

Sullam Jeoung, Yueyan Chen, Yi Zhang, Shuai Wang, Haibo Ding, Lin Lee Cheong

CoRR, May, 2025

CSPLADE: Learned Sparse Retrieval with Causal Language Models.

Zhichao Xu, Aosong Feng, Yijun Tian, Haibo Ding, Lin Lee Cheong

CoRR, April, 2025

Collaborative LLM Numerical Reasoning with Local Data Protection.

Min Zhang, Yuzhe Lu, Yun Zhou, Panpan Xu, Lin Lee Cheong, Chang-Tien Lu, Haozhu Wang

CoRR, April, 2025

SDRT: Enhance Vision-Language Models by Self-Distillation with Diverse Reasoning Traces.

Guande Wu, Huan Song, Yawei Wang, Qiaojing Yan, Yijun Tian, Lin Lee Cheong, Panpan Xu

CoRR, March, 2025

A Systematic Survey of Automatic Prompt Optimization Techniques.

Kiran Ramnath, Kang Zhou, Sheng Guan, Soumya Smruti Mishra, Xuan Qi, Zhengyuan Shen, Shuai Wang, Sangmin Woo, Sullam Jeoung, Yawei Wang, Haozhu Wang, Han Ding, Yuzhe Lu, Zhichao Xu, Yun Zhou, Balasubramaniam Srinivasan, Qiaojing Yan, Yueyan Chen, Haibo Ding, Panpan Xu, Lin Lee Cheong

CoRR, February, 2025

Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models.

Sangmin Woo, Kang Zhou, Yun Zhou, Shuai Wang, Sheng Guan, Haibo Ding, Lin Lee Cheong

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

2024

The Third Workshop on Applied Machine Learning Management.

Dmitri Goldenberg, Shir Meir Lador, Elena Sokolova, Lin Lee Cheong, Mohak Sukhwani, Saloni Potdar

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

KDD 2023 Workshop on Data Science and AI for Sports.

Huan Song, Panpan Xu, Lin Lee Cheong, Yuanheng Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

The Second Workshop on Applied Machine Learning Management.

Dmitri Goldenberg, Chana Ross, Shir Meir Lador, Lin Lee Cheong, Panpan Xu, Elena Sokolova, Amit Mandelbaum, Irina Vasilinetc, Ankit Jain, Amit Weil Modlinger, Saloni Potdar

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Explainability of Traditional and Deep Learning Models on Longitudinal Healthcare Records.

Lin Lee Cheong, Tesfagabir Meharizghi, Wynona Black, Yang Guang, Weilin Meng

CoRR, 2022

2021

Single View Physical Distance Estimation using Human Pose.

Xiaohan Fei, Henry Wang, Lin Lee Cheong, Xiangyu Zeng, Meng Wang, Joseph Tighe

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2013

Novel advancements in nanofabrication for photonic crystal applications.

Lin Lee Cheong

PhD thesis, 2013