LLM-to-Flow Distillation: Teaching Natural Language Goals to Scientific Generators Paper • 2610.17246 • Published 25 days ago • 9
Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models Paper • 2607.15277 • Published Jul 16 • 5
Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models Paper • 2607.15277 • Published Jul 16 • 5
Partition, Prompt, Aggregate: Statistical Self-Consistency in Language Models Paper • 2607.15277 • Published Jul 16 • 5
Sanity Checks for Sparse Autoencoders: Do SAEs Beat Random Baselines? Paper • 2602.14111 • Published Feb 15 • 57
Learning beyond Teacher: Generalized On-Policy Distillation with Reward Extrapolation Paper • 2602.12125 • Published Feb 12 • 61
Reasoning with Sampling: Your Base Model is Smarter Than You Think Paper • 2510.14901 • Published Oct 16, 2025 • 49
Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models Paper • 2509.24510 • Published Sep 29, 2025 • 5
Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models Paper • 2509.24510 • Published Sep 29, 2025 • 5
Learning to Align, Aligning to Learn: A Unified Approach for Self-Optimized Alignment Paper • 2508.07750 • Published Aug 11, 2025 • 21