When Do Biological Reasoning Models Use Their Biological Inputs? Paper • 2610.00898 • Published 13 days ago • 10
Learning to Steer, Steering to See: Unveiling the Geometry of RLVR in Large Language Models via Trainable Vectors Paper • 2609.34344 • Published 16 days ago • 5
4DCodeBench: Benchmarking Agents on Inverse Graphics of Dynamic Scenes Paper • 2610.03715 • Published 12 days ago • 34
When EOS Tokens Disagree: Understanding Length Inflation in On-Policy Distillation Paper • 2609.20511 • Published 27 days ago • 115
What Does Privileged Information Add to On-Policy Self-Distillation? Paper • 2609.20612 • Published 27 days ago • 36
X-AuT: Progressive Audio-Encoder Compression for Speech LLMs with Cross-Scale Distillation Paper • 2609.11412 • Published Sep 10 • 48
Negative Self-Distillation: Learning to Reason by Avoiding Flaws Paper • 2609.11699 • Published Sep 10 • 37
Rethinking On-Policy Distillation of Large Language Models II: One Training Example Paper • 2609.04172 • Published Sep 3 • 104
Terminal-Universe: Turning Agent Trajectories into Scalable Terminal Environments Paper • 2609.04148 • Published Sep 3 • 212
LLaDA-Image: Building Strong Image Generators with Fully Open Training Recipes Paper • 2609.03796 • Published Sep 3 • 182
Listening Forward: Next Patch Embedding Prediction Enables Scalable Audio Learners Paper • 2608.19863 • Published Aug 20 • 6
SemComp-Bench: Benchmarking Semantic Task Completion in Video Generation Paper • 2608.17426 • Published Aug 18 • 161