SearchSwarm: Towards Delegation Intelligence in Agentic LLMs for Long-Horizon Deep Research Paper • 2606.09730 • Published 4 days ago • 49
Retrospective Harness Optimization: Improving LLM Agents via Self-Preference over Trajectory Rollouts Paper • 2606.05922 • Published 7 days ago • 51
LatentSkill: From In-Context Textual Skills to In-Weight Latent Skills for LLM Agents Paper • 2606.06087 • Published 8 days ago • 59
KVarN: Variance-Normalized KV-Cache Quantization Mitigates Error Accumulation in Reasoning Tasks Paper • 2606.03458 • Published 10 days ago • 60
view article Article Introducing North Mini Code: Cohere’s First Model For Developers CohereLabs • 2 days ago • 52
Laguna XS.2 Collection Designed for agentic coding and long-horizon work on a local machine. Apache 2.0. • 5 items • Updated May 7 • 25
Gemma 4 QAT Collection Gemma 4 QAT (Quantization-Aware Training) for 3x less memory use and near original accuracy. • 16 items • Updated 5 days ago • 79
Joint Agent Memory and Exploration Learning via Novelty Signals Paper • 2606.01528 • Published 11 days ago • 15
Skill is Not One-Size-Fits-All: Model-Aware Skill Alignment for LLM Agents Paper • 2605.30723 • Published 14 days ago • 16
When Does Multi-Agent RL Improve LLM Workflows? Workflow, Scale, and Policy-Sharing Tradeoffs Paper • 2605.24202 • Published 21 days ago • 17
Harness Updating Is Not Harness Benefit: Disentangling Evolution Capabilities in Self-Evolving LLM Agents Paper • 2605.30621 • Published 15 days ago • 22