Benefits and Pitfalls of Reinforcement Learning for Language Model Planning: A Theoretical Perspective
Paper • 2509.22613 • Published • 10
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papers 10 months ago
DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively
Paper • 2509.26603 • Published • 18
Learning Human-Perceived Fakeness in AI-Generated Videos via Multimodal LLMs
Paper • 2509.22646 • Published • 17
Learning to See Before Seeing: Demystifying LLM Visual Priors from Language Pre-training
Paper • 2509.26625 • Published • 44
Thinking-Free Policy Initialization Makes Distilled Reasoning Models More Effective and Efficient Reasoners
Paper • 2509.26226 • Published • 34
Winning the Pruning Gamble: A Unified Approach to Joint Sample and Token Pruning for Efficient Supervised Fine-Tuning
Paper • 2509.23873 • Published • 68