activity
20242026
collaborators

5 papers

cs.AI2026

Persuasive and Compliant Tendencies Predict Group Decision-Making in Humans and Language Models

Wenwen He, Wenke Huang, Wei Yang Bryan Lim +1

Large language models (LLMs) are increasingly involved in group decision-making with other LLMs and humans. Yet it remains unclear whether their influence is driven by persuasion-o…

cs.AI2026

Behavioural Signatures of Risk-Sensitive Decision-Making in Large Language Models

Xuankun Rong, Wenke Huang, Bo Du +2

As large language models (LLMs) are increasingly used in decision support, it is important to understand whether their choices under uncertainty exhibit stable and interpretable be…

cs.AI2025

MAPO: Mixed Advantage Policy Optimization

Wenke Huang, Quan Zhang, Yiyang Fang +11

Recent advances in reinforcement learning for foundation models, such as Group Relative Policy Optimization (GRPO), have significantly improved the performance of foundation models…

cs.CR2025

A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations

Mang Ye, Xuankun Rong, Wenke Huang +3

With the rapid advancement of Large Vision-Language Models (LVLMs), ensuring their safety has emerged as a crucial area of research. This survey provides a comprehensive analysis o…

cs.CL2024

Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning

Wenke Huang, Jian Liang, Zekun Shi +6

Multimodal Large Language Model (MLLM) have demonstrated strong generalization capabilities across diverse distributions and tasks, largely due to extensive pre-training datasets.…