{"slug": "training-specialist-models-without-reasoning-trajectories-for-domain-expert", "title": "Training Specialist Models without Reasoning Trajectories for Domain Expert Distillation", "summary": "Researchers investigated how specialist models trained solely on question-answer pairs, without explicit reasoning supervision, generate reasoning trajectories for domain expert distillation. The work examines what governs the trajectories these specialists produce when teacher-generated reasoning paths are unavailable during training.", "body_md": "Specialist distillation effectively transfers domain expertise to student models via teacher-generated reasoning trajectories. However, when these specialists are trained solely on question--answer pairs without explicit reasoning supervision, what governs the trajectories they generate? In this wor", "url": "https://wpnews.pro/news/training-specialist-models-without-reasoning-trajectories-for-domain-expert", "canonical_source": "https://aiflash.com/news/120494/", "published_at": "2026-09-16 03:30:01+00:00", "updated_at": "2026-09-16 03:36:37.031804+00:00", "lang": "en", "topics": ["machine-learning", "ai-research", "large-language-models", "natural-language-processing"], "entities": [], "alternates": {"html": "https://wpnews.pro/news/training-specialist-models-without-reasoning-trajectories-for-domain-expert", "markdown": "https://wpnews.pro/news/training-specialist-models-without-reasoning-trajectories-for-domain-expert.md", "text": "https://wpnews.pro/news/training-specialist-models-without-reasoning-trajectories-for-domain-expert.txt", "jsonld": "https://wpnews.pro/news/training-specialist-models-without-reasoning-trajectories-for-domain-expert.jsonld"}}