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Code Mala Tang
Code Mala Tang
May 31, 2026 · Artificial Intelligence

Top 10 AI Papers This Week: SkillOpt, Agent Distillation, and Sleeping LLMs

This roundup reviews ten recent AI papers covering SkillOpt’s treat‑SKILL.md as trainable parameters, compiling whole agent pipelines into model weights, decentralized AI scientist teams, adding a "sleep" consolidation phase to LLMs, interface‑only fixes for frozen agents, reuse‑aware context‑cost strategies, evaluating AI’s ability to forecast scientific breakthroughs, agent aging benchmarks, the trade‑offs of complex harnesses, and multilingual food‑embedding models.

AI AgentsAgent AgingAgent Distillation
0 likes · 18 min read
Top 10 AI Papers This Week: SkillOpt, Agent Distillation, and Sleeping LLMs
Machine Heart
Machine Heart
May 31, 2026 · Artificial Intelligence

Microsoft’s SkillOpt Turns Agent Skill Docs into Trainable Parameters for Self‑Evolving AI

Microsoft’s newly open‑source SkillOpt framework treats an agent’s skill document as external weights, applying a rollout‑reflect‑edit‑gate training loop with textual learning rates and rejected‑edit buffers, enabling self‑evolving skills that achieve optimal or tied‑optimal results across 52 model‑benchmark‑environment combinations.

AI AgentsMicrosoftSkillOpt
0 likes · 12 min read
Microsoft’s SkillOpt Turns Agent Skill Docs into Trainable Parameters for Self‑Evolving AI
SuanNi
SuanNi
May 27, 2026 · Artificial Intelligence

Can Agent Skills Be Trained Like Neural Networks? SkillOpt Demonstrates Success

SkillOpt treats an agent’s Skill document as a trainable external state, applying classic deep‑learning tools such as epochs, batch size, learning rate and validation gating, and in experiments across 52 benchmark units it lifts GPT‑5.5 performance by an average of 23.5 points while enabling cross‑model and cross‑environment transfer with no additional inference cost.

Agent SkillCross-Model TransferDeep Learning Optimization
0 likes · 11 min read
Can Agent Skills Be Trained Like Neural Networks? SkillOpt Demonstrates Success
AI Engineering
AI Engineering
May 26, 2026 · Artificial Intelligence

Training Only the Skill Document While Keeping Model Weights Frozen (SkillOpt)

Microsoft Research introduces SkillOpt, a method that freezes large‑model weights and instead trains a natural‑language skill document as the sole learnable parameter, using a rollout‑reflect‑edit‑gate loop, achieving optimal results across 52 benchmark‑model‑environment combinations and demonstrating strong transferability.

LLM agentsSkillOptbenchmark evaluation
0 likes · 9 min read
Training Only the Skill Document While Keeping Model Weights Frozen (SkillOpt)