Apertus LLM Family Expansion via Distillation and Quantization Paper • 2605.29128 • Published May 27 • 1
The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning Paper • 2606.29526 • Published 26 days ago • 171
Towards Automating Scientific Review with Google's Paper Assistant Tool Paper • 2606.28277 • Published 28 days ago • 10
Qwen-AgentWorld: Language World Models for General Agents Paper • 2606.24597 • Published about 1 month ago • 152
From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI Paper • 2606.14502 • Published Jun 12 • 117
A Sovereign, Open-Source Foundation Model for German and English Paper • 2607.09424 • Published 14 days ago • 14
Single-Rollout Asynchronous Optimization for Agentic Reinforcement Learning Paper • 2607.07508 • Published 16 days ago • 26
Are We Ready For An Agent-Native Memory System? Paper • 2606.24775 • Published about 1 month ago • 130
Can LLMs Clean Up Your Mess? A Survey of Application-Ready Data Preparation with LLMs Paper • 2601.17058 • Published Jan 22 • 191
Can LLMs Clean Up Your Mess? A Survey of Application-Ready Data Preparation with LLMs Paper • 2601.17058 • Published Jan 22 • 191 • 6
Ideas Have Genomes: Benchmarking Scientific Lineage Reasoning and Lineage-Grounded Idea Generation Paper • 2607.08758 • Published 15 days ago • 40
Measuring the Gap Between Human and LLM Research Ideas Paper • 2607.01233 • Published 23 days ago • 20 • 3
Measuring the Gap Between Human and LLM Research Ideas Paper • 2607.01233 • Published 23 days ago • 20
Metacognition in LLMs: Foundations, Progress, and Opportunities Paper • 2607.11881 • Published 11 days ago • 28 • 4
Metacognition in LLMs: Foundations, Progress, and Opportunities Paper • 2607.11881 • Published 11 days ago • 28