Andreas Stöffelbauer

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upvoted a paper 3 days ago

Just-in-Time Memory: Learning to Curate Task-Adaptive Memory for LLM Agents

Paper • 2609.27334 • Published 5 days ago • 35

upvoted a paper 4 days ago

JEV-as-a-Judge: Accept When Confident, Escalate When Unsure

Paper • 2609.26550 • Published 6 days ago • 41

upvoted 2 papers 5 days ago

SoL-Pi: Recursively Scaling Auto-Research Loops for Efficient Agent Harness

Paper • 2609.20519 • Published 11 days ago • 136

RRSI: Regularized Recursive Self-Improvement of Agent Harnesses

Paper • 2609.24972 • Published 7 days ago • 210

upvoted a paper 6 days ago

MintAct: A Unified Visual Agent for Digital Environments

Paper • 2609.22083 • Published 10 days ago • 35

upvoted 2 papers 10 days ago

Confidence Comes from Experience: Experiential Confidence Estimation from Reasoning to Agents

Paper • 2609.17708 • Published 13 days ago • 76

LimiX-2: A Contextual Mechanism Network Towards General Structured-Data Intelligence

Paper • 2609.17488 • Published 13 days ago • 789

upvoted 2 papers 11 days ago

Continual Learning Mechanisms Compose for Long-Horizon Memorization

Paper • 2609.06986 • Published 21 days ago • 374

Learning to Solve Hard Problems in RL for LLMs by Never Giving Up

Paper • 2609.13443 • Published 17 days ago • 13

upvoted a paper 13 days ago

Dream-RSI: Recursive Self-Improvement through Evolving Worlds

Paper • 2609.14858 • Published 14 days ago • 246

upvoted a paper 17 days ago

Miles v0.1: Production-Level Post-Training

Paper • 2609.08368 • Published 20 days ago • 59

upvoted a paper 19 days ago

One Symptom, Three Levers: A Critical Review of On-Policy Self-Distillation

Paper • 2608.25936 • Published Aug 26 • 16

upvoted a paper 20 days ago

Group Adaptive Clipping Policy Optimization

Paper • 2609.00444 • Published 28 days ago • 10

upvoted a paper 24 days ago

Rethinking On-Policy Distillation of Large Language Models II: One Training Example

Paper • 2609.04172 • Published 25 days ago • 102

upvoted 2 papers 25 days ago

It Takes Two to Match: Co-Evolving Generative Retriever with Reinforcement Learning

Paper • 2609.00638 • Published 27 days ago • 66

Knowledge Distillation During Mid-Training Favors Reasoning over Factual Recall

Paper • 2609.01532 • Published 27 days ago • 9

upvoted 2 papers 26 days ago

Evaluating the Hidden Costs of Personalization in Large Language Models

Paper • 2608.28833 • Published about 1 month ago • 30

Does On-Policy Distillation Really Distill? From Noisy Teacher to Self-Improvement

Paper • 2608.31046 • Published 28 days ago • 97

upvoted 2 papers about 1 month ago

The Embedder's Dilemma: LLMs Are Better, but at What Cost?

Paper • 2608.12875 • Published Aug 13 • 16

Self-Supervised Visual On-Policy Distillation

Paper • 2608.14144 • Published Aug 14 • 126