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cs.LG2025
Causal-Aware Tabular GANs with Reinforcement Learning
Tu Anh Hoang Nguyen, Dang Nguyen, Tri-Nhan Vo +3
Existing tabular data generation methods primarily focus on matching statistical distributions between real and synthetic data, often overlooking the preservation of underlying cau…
cs.LG2025
Rethinking Large Language Model Distillation: A Constrained Markov Decision Process Perspective
Matthieu Zimmer, Xiaotong Ji, Tu Nguyen +1
We introduce a novel approach to large language model (LLM) distillation by formulating it as a constrained reinforcement learning problem. While recent work has begun exploring th…
cs.AI2025
Tree-OPO: Off-policy Monte Carlo Tree-Guided Advantage Optimization for Multistep Reasoning
Bingning Huang, Tu Nguyen, Matthieu Zimmer
Recent advances in reasoning with large language models (LLMs) have shown the effectiveness of Monte Carlo Tree Search (MCTS) for generating high quality intermediate trajectories,…