AI research from June 2026

Browse source-linked, plain-English summaries of AI and machine-learning papers published in June 2026.

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Agents / Training & Fine-Tuning By Tianyi Zhou 2026-06-01
COLLEAGUE.SKILL: Automated AI Skill Generation via Expert Knowledge Distillation

The paper introduces COLLEAGUE.SKILL, an end-to-end workflow that distills heterogeneous traces of person-grounded knowledge into inspectable, correctable, and agent-usable skills.

Agents / Efficiency & Inference By Alireza Salemi 2026-06-01
GrepSeek: Training Search Agents for Direct Corpus Interaction

GrepSeek replaces traditional vector-based search indices with an agent that interacts directly with raw corpus files using shell commands.

Training & Fine-Tuning / Reasoning By Daniil Plyusov 2026-06-01
Trust-Region Behavior Blending for On-Policy Distillation

The paper introduces a method called Trust Region Behavior Blending to stabilize on-policy distillation by controlling how teachers supervise student models during early training.