Composable Decoding on the Probability Simplex: Theory and Implementation Paper • 2609.34992 • Published 8 days ago • 10
Does This Action Still Explain the Task? Reverse Scoring for Diffusion Language Model Agents Paper • 2609.38536 • Published 7 days ago • 10
The Weakest Link: Distilling LLM Reasoning with Worst-Case Constrained Reinforcement Learning Paper • 2610.00332 • Published 7 days ago • 10
The Weakest Link: Distilling LLM Reasoning with Worst-Case Constrained Reinforcement Learning Paper • 2610.00332 • Published 7 days ago • 10
Composable Decoding on the Probability Simplex: Theory and Implementation Paper • 2609.34992 • Published 8 days ago • 10
Does This Action Still Explain the Task? Reverse Scoring for Diffusion Language Model Agents Paper • 2609.38536 • Published 7 days ago • 10
iSDFT: Information-Proximal Self-Distillation for Continual Learning in LLMs Paper • 2609.24646 • Published 15 days ago • 9
The $\mathbf{Y}$-Combinator for LLMs: Solving Long-Context Rot with $λ$-Calculus Paper • 2603.20105 • Published Mar 20 • 37
Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening Paper • 2601.21590 • Published Jan 29 • 14
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 15 days ago • 9
Beam Search as Test-Time Self-Distillation via Counterfactual Contexts Paper • 2609.37041 • Published 7 days ago • 7
Beam Search as Test-Time Self-Distillation via Counterfactual Contexts Paper • 2609.37041 • Published 7 days ago • 7
From Skills to Talent: Organising Heterogeneous Agents as a Real-World Company Paper • 2604.22446 • Published Apr 24 • 127
The Y-Combinator for LLMs: Solving Long-Context Rot with λ-Calculus Paper • 2603.20105 • Published Mar 20 • 37