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upvoted a paper 21 days ago

Composing What Each Teacher Learned: Multi-Teacher On-Policy Distillation through Teacher-Relative Shifts

Paper • 2610.10460 • Published 23 days ago • 10

upvoted 2 papers 4 months ago

TREK: Distill to Explore, Reinforce to Refine

Paper • 2607.05339 • Published Jul 6 • 10

TRIAGE: Role-Typed Credit Assignment for Agentic Reinforcement Learning

Paper • 2606.32017 • Published Jun 30 • 10

upvoted 2 papers 6 months ago

Beyond GRPO and On-Policy Distillation: An Empirical Sparse-to-Dense Reward Principle for Language-Model Post-Training

Paper • 2605.12483 • Published May 12 • 9

TIP: Token Importance in On-Policy Distillation

Paper • 2604.14084 • Published Apr 15 • 15

upvoted 4 papers 7 months ago

OccuBench: Evaluating AI Agents on Real-World Professional Tasks via Language World Models

Paper • 2604.10866 • Published Apr 13 • 69

SpatialEvo: Self-Evolving Spatial Intelligence via Deterministic Geometric Environments

Paper • 2604.14144 • Published Apr 15 • 63

RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time

Paper • 2604.11626 • Published Apr 13 • 27

Seedance 2.0: Advancing Video Generation for World Complexity

Paper • 2604.14148 • Published Apr 15 • 173

upvoted 3 papers 8 months ago

PACED: Distillation at the Frontier of Student Competence

Paper • 2603.11178 • Published Mar 11 • 4

Overconfident Errors Need Stronger Correction: Asymmetric Confidence Penalties for Reinforcement Learning

Paper • 2602.21420 • Published Feb 24 • 6

Flash-KMeans: Fast and Memory-Efficient Exact K-Means

Paper • 2603.09229 • Published Mar 10 • 85