How Much Training-Inference Mismatch Can On-Policy Distillation Tolerate? Paper • 2611.11450 • Published 7 days ago • 14 • 10
P^2-MOPD: Accelerating Multi-Teacher On-Policy Distillation via Parameter Priors Paper • 2611.03953 • Published 12 days ago • 71
How Much Training-Inference Mismatch Can On-Policy Distillation Tolerate? Paper • 2611.11450 • Published 7 days ago • 14 • 10
How Much Training-Inference Mismatch Can On-Policy Distillation Tolerate? Paper • 2611.11450 • Published 7 days ago • 14 • 10
How Much Training-Inference Mismatch Can On-Policy Distillation Tolerate? Paper • 2611.11450 • Published 7 days ago • 14 • 10
How Much Training-Inference Mismatch Can On-Policy Distillation Tolerate? Paper • 2611.11450 • Published 7 days ago • 14
How Much Training-Inference Mismatch Can On-Policy Distillation Tolerate? Paper • 2611.11450 • Published 7 days ago • 14
How Much Training-Inference Mismatch Can On-Policy Distillation Tolerate? Paper • 2611.11450 • Published 7 days ago • 14
NeMo-DCR: Bit-Exact Delta-Compressed Refit for Scalable Agentic RL at Trillion-Parameter Scale Paper • 2610.08430 • Published Oct 6 • 21
Learning to Solve Hard Problems in RL for LLMs by Never Giving Up Paper • 2609.13443 • Published Sep 11 • 15
DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression Paper • 2609.19969 • Published Sep 17 • 208
Rethinking On-Policy Distillation of Large Language Models II: One Training Example Paper • 2609.04172 • Published Sep 3 • 83
Qwen-Drive-1.0: An Initial Step towards a Vision-Language Foundation Model for Autonomous Driving Paper • 2609.00111 • Published Aug 31 • 130