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papersTODAY 04:00 UTC

Counteraction-Aware Multi-Teacher Distillation Aims to Preserve LLM General Skills

A new arXiv paper addresses how domain-specific fine-tuning can erode the general abilities an LLM originally had. The authors propose a counteraction-aware extension of multi-teacher on-policy distillation, which trains on student-generated text under multiple teachers to restore lost capabilities while keeping domain performance. The method targets the trade-off between specialization and retaining broad competence.

arXiv catastrophic-forgetting fine-tuning knowledge distillation large-language-models multi-teacher distillation

COVERAGE · 1 REPORT · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.AICounteraction-Aware Multi-Teacher On-Policy Distillation for General Capability Recovery with Domain Preservation ↗TODAY 04:00 UTC