3 papers
cs.LG2026
PrAg-PO: Prompt Augmented Policy Optimization for Robust and Diverse Mathematical Reasoning
Wenquan Lu, Hai Huang, Enqi Liu +1
Reinforcement learning algorithms such as group-relative policy optimization (GRPO) have shown strong potential for improving the mathematical reasoning capabilities of large langu…
cs.CV2025
Ditch the Denoiser: Emergence of Noise Robustness in Self-Supervised Learning from Data Curriculum
Wenquan Lu, Jiaqi Zhang, Hugues Van Assel +1
Self-Supervised Learning (SSL) has become a powerful solution to extract rich representations from unlabeled data. Yet, SSL research is mostly focused on clean, curated and high-qu…
cs.CL2025
Latent Chain-of-Thought? Decoding the Depth-Recurrent Transformer
Wenquan Lu, Yuechuan Yang, Kyle Lee +2
Chain-of-thought (CoT) reasoning has enabled transformer-based language models to excel at complex mathematics and multi-step planning. However, in standard decoder-only architectu…