Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing Paper • 2509.08721 • Published Sep 10 • 660 • 53
On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting Paper • 2508.11408 • Published Aug 15 • 8 • 6
On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting Paper • 2508.11408 • Published Aug 15 • 8 • 6
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model Paper • 2508.14444 • Published Aug 20 • 38 • 3
Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens Paper • 2508.01191 • Published Aug 2 • 238 • 11
Beyond Context Limits: Subconscious Threads for Long-Horizon Reasoning Paper • 2507.16784 • Published Jul 22 • 122 • 11
Beyond Context Limits: Subconscious Threads for Long-Horizon Reasoning Paper • 2507.16784 • Published Jul 22 • 122 • 11
Favicon Trojans: Executable Steganography Via Ico Alpha Channel Exploitation Paper • 2507.09074 • Published Jul 11 • 6 • 5
Favicon Trojans: Executable Steganography Via Ico Alpha Channel Exploitation Paper • 2507.09074 • Published Jul 11 • 6 • 5
Favicon Trojans: Executable Steganography Via Ico Alpha Channel Exploitation Paper • 2507.09074 • Published Jul 11 • 6 • 5
General-Reasoner: Advancing LLM Reasoning Across All Domains Paper • 2505.14652 • Published May 20 • 24 • 6
General-Reasoner: Advancing LLM Reasoning Across All Domains Paper • 2505.14652 • Published May 20 • 24 • 6
Do PhD-level LLMs Truly Grasp Elementary Addition? Probing Rule Learning vs. Memorization in Large Language Models Paper • 2504.05262 • Published Apr 7 • 11 • 6
Do PhD-level LLMs Truly Grasp Elementary Addition? Probing Rule Learning vs. Memorization in Large Language Models Paper • 2504.05262 • Published Apr 7 • 11 • 6