3 papers
cs.AI2025
Constrained Language Model Policy Optimization via Risk-aware Stepwise Alignment
Lijun Zhang, Lin Li, Wei Wei +5
When fine-tuning pre-trained Language Models (LMs) to exhibit desired behaviors, maintaining control over risk is critical for ensuring both safety and trustworthiness. Most existi…
cs.LG2025
Goal-Guided Efficient Exploration via Large Language Model in Reinforcement Learning
Yajie Qi, Wei Wei, Lin Li +4
Real-world decision-making tasks typically occur in complex and open environments, posing significant challenges to reinforcement learning (RL) agents' exploration efficiency and l…
cs.LG2025
Risk-aware Direct Preference Optimization under Nested Risk Measure
Lijun Zhang, Lin Li, Yajie Qi +4
When fine-tuning pre-trained Large Language Models (LLMs) to align with human values and intentions, maximizing the estimated reward can lead to superior performance, but it also i…