Andreas Stöffelbauer

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upvoted a paper about 21 hours ago

LLM-as-a-Verifier: A General-Purpose Verification Framework

Paper • 2607.05391 • Published 2 days ago • 10

upvoted a paper 20 days ago

Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients

Paper • 2606.18216 • Published 22 days ago • 63

upvoted a paper 21 days ago

Prompt-Level Distillation: A Non-Parametric Alternative to Model Fine-Tuning for Efficient Reasoning

Paper • 2602.21103 • Published Jun 2 • 9

upvoted a paper 28 days ago

Trajectory-Refined Distillation

Paper • 2606.08432 • Published Jun 7 • 7

upvoted 2 papers 29 days ago

CORE: Contrastive Reflection Enables Rapid Improvements in Reasoning

Paper • 2605.28742 • Published May 27 • 4

Reinforcement Learning from Rich Feedback with Distributional DAgger

Paper • 2606.05152 • Published Jun 3 • 3

upvoted 4 papers about 1 month ago

On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters

Paper • 2606.02437 • Published Jun 1 • 237

Why Larger Models Learn More: Effects of Capacity, Interference, and Rare-Task Retention

Paper • 2605.29548 • Published May 28 • 12

Your Embedding Model is SMARTer Than You Think

Paper • 2605.24938 • Published May 24 • 25

SkillOpt: Executive Strategy for Self-Evolving Agent Skills

Paper • 2605.23904 • Published May 22 • 252

upvoted 2 papers about 2 months ago

Context Training with Active Information Seeking

Paper • 2605.13050 • Published May 13 • 7

Many-Shot CoT-ICL: Making In-Context Learning Truly Learn

Paper • 2605.13511 • Published May 13 • 33

upvoted 8 papers 3 months ago

Predicting integers from continuous parameters

Paper • 2602.10751 • Published Apr 13 • 3

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

Paper • 2604.11626 • Published Apr 13 • 103

You Only Judge Once: Multi-response Reward Modeling in a Single Forward Pass

Paper • 2604.10966 • Published Apr 13 • 12

Lightning OPD: Efficient Post-Training for Large Reasoning Models with Offline On-Policy Distillation

Paper • 2604.13010 • Published Apr 14 • 19

Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe

Paper • 2604.13016 • Published Apr 14 • 113

p1: Better Prompt Optimization with Fewer Prompts

Paper • 2604.08801 • Published Apr 9 • 9

ThinkTwice: Jointly Optimizing Large Language Models for Reasoning and Self-Refinement

Paper • 2604.01591 • Published Apr 2 • 42

Embarrassingly Simple Self-Distillation Improves Code Generation

Paper • 2604.01193 • Published Apr 1 • 56