Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond Paper • 2604.22748 • Published Apr 24 • 227
From Context to Skills: Can Language Models Learn from Context Skillfully? Paper • 2604.27660 • Published May 3 • 166
Why Fine-Tuning Encourages Hallucinations and How to Fix It Paper • 2604.15574 • Published Apr 16 • 25
LLM Safety From Within: Detecting Harmful Content with Internal Representations Paper • 2604.18519 • Published Apr 20 • 26
From Skills to Talent: Organising Heterogeneous Agents as a Real-World Company Paper • 2604.22446 • Published Apr 24 • 121
Attention Sink in Transformers: A Survey on Utilization, Interpretation, and Mitigation Paper • 2604.10098 • Published Apr 11 • 82
Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe Paper • 2604.13016 • Published Apr 14 • 109
Adam's Law: Textual Frequency Law on Large Language Models Paper • 2604.02176 • Published Apr 2 • 506
SkillClaw: Let Skills Evolve Collectively with Agentic Evolver Paper • 2604.08377 • Published Apr 9 • 292
The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook Paper • 2604.02029 • Published Apr 2 • 151
ClawKeeper: Comprehensive Safety Protection for OpenClaw Agents Through Skills, Plugins, and Watchers Paper • 2603.24414 • Published Mar 25 • 183
Claw-Eval: Toward Trustworthy Evaluation of Autonomous Agents Paper • 2604.06132 • Published Apr 7 • 121
view article Article Mixture of Experts (MoEs) in Transformers +5 ariG23498, pcuenq, merve, IlyasMoutawwakil, ArthurZ, sergiopaniego, Molbap • Feb 26 • 167
PaperBanana: Automating Academic Illustration for AI Scientists Paper • 2601.23265 • Published Jan 30 • 228
Less is Enough: Synthesizing Diverse Data in Feature Space of LLMs Paper • 2602.10388 • Published Feb 11 • 245
Weak-Driven Learning: How Weak Agents make Strong Agents Stronger Paper • 2602.08222 • Published Feb 9 • 290
view article Article makeMoE: Implement a Sparse Mixture of Experts Language Model from Scratch AviSoori1x • May 7, 2024 • 121