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#machine learning Preprint Oct 2026

Predicting Privileged Information Effectiveness for On-Policy Self-Distillation

This work systematically evaluates 16 PI configurations across three multi-turn agentic benchmarks and three student models that vary in scale and reasoning mode and finds that PI effectiveness depends on its content, generation source, and the student model.

Kai-Jian Zou, Emiliano Penaloza, MohammadHossein Rezaei et al. · 0 citations

PatchBoard: Schema-Grounded State Mutation for Reliable and Auditable LLM Multi-Agent Collaboration

PatchBoard is introduced, a schema-grounded collaboration architecture that replaces inter-agent dialogue with validated JSON Patch mutations over a shared structured state that achieves an 84.6% success rate on matched ALFWorld episodes.

Shuyu Zhang, Yaqi Shi, Jia-Rui Zhang et al. · 1 citation
#natural language process... Preprint Aug 2026

Co-Evolving Actor-Conditioned Critics for Non-Verifiable Generation

TAIScore (Targeted Actionable Improvement Score), a reward that evaluates the instruction, initial response, critique, and revision together, assessing whether the critique targets a real weakness, whether the actor follows it, and whether the intended aspect improves, is introduced.

Jinyoung Kim, Muhammad Khalifa, L. Logeswaran et al. · 0 citations

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