Researchers introduced a method called consensus gating for self-distillation in scenarios lacking reliable supervision, focusing on document-grounded question answering where models act as both tutor and student. This technique improves model accuracy by using tutor consensus to guide learning from reasoning trajectories rather than just final answers, significantly enhancing performance in document-free settings.
Read the full article at arXiv cs.CL (NLP)
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