Recovering Reliable Supervision via Critique-Guided On-Policy Distillation Paper • 2610.20572 • Published 28 days ago • 27
An RL View of OPD: Least Square Policy Distillation for Sample-Efficient LLM Reasoning Paper • 2609.35505 • Published Sep 28 • 17
Recovering Reliable Supervision via Critique-Guided On-Policy Distillation Paper • 2610.20572 • Published 28 days ago • 27
Recovering Reliable Supervision via Critique-Guided On-Policy Distillation Paper • 2610.20572 • Published 28 days ago • 27
Rethinking Training-Inference Mismatch in LLM Reinforcement Learning: Where It Arises and How to Correct It Paper • 2609.32444 • Published Sep 26 • 23
An RL View of OPD: Least Square Policy Distillation for Sample-Efficient LLM Reasoning Paper • 2609.35505 • Published Sep 28 • 17
Rethinking Training-Inference Mismatch in LLM Reinforcement Learning: Where It Arises and How to Correct It Paper • 2609.32444 • Published Sep 26 • 23
Rethinking Training-Inference Mismatch in LLM Reinforcement Learning: Where It Arises and How to Correct It Paper • 2609.32444 • Published Sep 26 • 23
When EOS Tokens Disagree: Understanding Length Inflation in On-Policy Distillation Paper • 2609.20511 • Published Sep 17 • 52
When EOS Tokens Disagree: Understanding Length Inflation in On-Policy Distillation Paper • 2609.20511 • Published Sep 17 • 52
When EOS Tokens Disagree: Understanding Length Inflation in On-Policy Distillation Paper • 2609.20511 • Published Sep 17 • 52
A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments Paper • 2502.16065 • Published Feb 22, 2025 • 4
DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning Paper • 2507.05649 • Published Jul 14, 2025 • 4
A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Paper • 2508.15031 • Published Aug 27, 2025 • 4