Beam Search as Test-Time Self-Distillation via Counterfactual Contexts Paper • 2609.37041 • Published 29 days ago • 8
The Weakest Link: Distilling LLM Reasoning with Worst-Case Constrained Reinforcement Learning Paper • 2610.00332 • Published 29 days ago • 10
Composable Decoding on the Probability Simplex: Theory and Implementation Paper • 2609.34992 • Published about 1 month ago • 11
Does This Action Still Explain the Task? Reverse Scoring for Diffusion Language Model Agents Paper • 2609.38536 • Published 29 days ago • 11
Decoding as Optimisation on the Probability Simplex: From Top-K to Top-P (Nucleus) to Best-of-K Samplers Paper • 2602.18292 • Published Feb 20 • 14
iSDFT: Information-Proximal Self-Distillation for Continual Learning in LLMs Paper • 2609.24646 • Published Sep 21 • 9
iSDFT: Info-Proximal Self-Distillation Fine-Tuning Collection iSDFT Trained Models • 66 items • Updated Sep 22 • 4
MinT: Managed Infrastructure for Training and Serving Millions of LLMs Paper • 2605.13779 • Published May 13 • 228
Self-Distillation Bridges Distribution Gap in Language Model Fine-Tuning Paper • 2402.13669 • Published Feb 21, 2024 • 2
UniSD: Towards a Unified Self-Distillation Framework for Large Language Models Paper • 2605.06597 • Published May 7 • 16
Self-Distillation for Model Stacking Unlocks Cross-Lingual NLU in 200+ Languages Paper • 2406.12739 • Published Jun 18, 2024 • 2
Self-Distillation Zero: Self-Revision Turns Binary Rewards into Dense Supervision Paper • 2604.12002 • Published Apr 13 • 12
Unifying Group-Relative and Self-Distillation Policy Optimization via Sample Routing Paper • 2604.02288 • Published Apr 2 • 32
Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models Paper • 2601.18734 • Published Jan 26 • 8
Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs? Paper • 2603.24472 • Published Mar 25 • 58