3 papers
cs.LG2025
EUBRL: Epistemic Uncertainty Directed Bayesian Reinforcement Learning
Jianfei Ma, Wee Sun Lee
At the boundary between the known and the unknown, an agent inevitably confronts the dilemma of whether to explore or to exploit. Epistemic uncertainty reflects such boundaries, re…
cs.AI2025
SofT-GRPO: Surpassing Discrete-Token LLM Reinforcement Learning via Gumbel-Reparameterized Soft-Thinking Policy Optimization
Zhi Zheng, Yu Gu, Wei Liu +2
The soft-thinking paradigm for Large Language Model (LLM) reasoning can outperform the conventional discrete-token Chain-of-Thought (CoT) reasoning in some scenarios, underscoring…
cs.AI2025
Reasoning-CV: Fine-tuning Powerful Reasoning LLMs for Knowledge-Assisted Claim Verification
Zhi Zheng, Wee Sun Lee
Claim verification is essential in combating misinformation, and large language models (LLMs) have recently emerged in this area as powerful tools for assessing the veracity of cla…