Man Ho Lam

According to our database, Man Ho Lam authored at least 15 papers between 2023 and 2026.

Collaborative distances:

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

2026

EfficientPosterGen: Semantic-aware Efficient Poster Generation via Token Compression and Accurate Violation Detection.

Wenxin Tang, Jingyu Xiao, Yanpei Gong, Fengyuan Ran, Tongchuan Xia, Junliang Liu, Man Ho Lam, Wenxuan Wang, Michael R. Lyu

CoRR, March, 2026

ComUICoder: Component-based Reusable UI Code Generation for Complex Websites via Semantic Segmentation and Element-wise Feedback.

Jingyu Xiao, Jiantong Qin, Shuoqi Li, Man Ho Lam, Yuxuan Wan, Jen-tse Huang, Yintong Huo, Michael R. Lyu

CoRR, February, 2026

2025

TREAT: A Code LLMs Trustworthiness / Reliability Evaluation and Testing Framework.

Shuzheng Gao, Eric John Li, Man Ho Lam, Jingyu Xiao, Yuxuan Wan, Chaozheng Wang, Man Tik Ng, Michael R. Lyu

CoRR, October, 2025

JSProtect: A Scalable Obfuscation Framework for Mini-Games in WeChat.

Zhihao Li, Chaozheng Wang, Zongjie Li, Xinyong Peng, Zelin Su, Qun Xia, Haochuan Lu, Ting Xiong, Man Ho Lam, Shuzheng Gao, Yuchong Xie, Cuiyun Gao, Shuai Wang, Yuetang Deng, Huafeng Ma

CoRR, September, 2025

The PIMMUR Principles: Ensuring Validity in Collective Behavior of LLM Societies.

Jiaxu Zhou, Jen-tse Huang, Xuhui Zhou, Man Ho Lam, Xintao Wang, Hao Zhu, Wenxuan Wang, Maarten Sap

CoRR, September, 2025

DesignBench: A Comprehensive Benchmark for MLLM-based Front-end Code Generation.

Jingyu Xiao, Ming Wang, Man Ho Lam, Yuxuan Wan, Junliang Liu, Yintong Huo, Michael R. Lyu

CoRR, June, 2025

CODECRASH: Stress Testing LLM Reasoning under Structural and Semantic Perturbations.

Man Ho Lam, Chaozheng Wang, Jen-tse Huang, Michael R. Lyu

CoRR, April, 2025

Competing Large Language Models in Multi-Agent Gaming Environments.

Jen-tse Huang, Eric John Li, Man Ho Lam, Tian Liang, Wenxuan Wang, Youliang Yuan, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Michael R. Lyu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments.

Jen-tse Huang, Eric John Li, Man Ho Lam, Tian Liang, Wenxuan Wang, Youliang Yuan, Wenxiang Jiao, Xing Wang, Zhaopeng Tu, Michael R. Lyu

CoRR, 2024

Apathetic or Empathetic? Evaluating LLMs' Emotional Alignments with Humans.

Jen-tse Huang, Man Ho Lam, Eric John Li, Shujie Ren, Wenxuan Wang, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs.

Jen-tse Huang, Wenxuan Wang, Eric John Li, Man Ho Lam, Shujie Ren, Youliang Yuan, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

On the Reliability of Psychological Scales on Large Language Models.

Jen-tse Huang, Wenxiang Jiao, Man Ho Lam, Eric John Li, Wenxuan Wang, Michael R. Lyu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Who is ChatGPT? Benchmarking LLMs' Psychological Portrayal Using PsychoBench.

Jen-tse Huang, Wenxuan Wang, Eric John Li, Man Ho Lam, Shujie Ren, Youliang Yuan, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu

CoRR, 2023

Emotionally Numb or Empathetic? Evaluating How LLMs Feel Using EmotionBench.

Jen-tse Huang, Man Ho Lam, Eric John Li, Shujie Ren, Wenxuan Wang, Wenxiang Jiao, Zhaopeng Tu, Michael R. Lyu

CoRR, 2023

ChatGPT an ENFJ, Bard an ISTJ: Empirical Study on Personalities of Large Language Models.

Jen-tse Huang, Wenxuan Wang, Man Ho Lam, Eric John Li, Wenxiang Jiao, Michael R. Lyu

CoRR, 2023