Signals 4 · free daily AI digest

Shuffled OPSD: When Semantic Consistency Hurts On-Policy Self-Distillation?

Paper recorded by Signals 4 on 2026-11-03 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-11-03 on arXiv · recorded by Signals 4 on 2026-11-04

Category: cs.CL · 自然语言处理 · first seen 2026-11-04

Abstract

Knowledge distillation improves a student model's reasoning ability through supervision from a teacher. On-policy self-distillation (OPSD) uses the same model as both teacher and student under different contexts: the student generates reasoning trajectories from the question alone, while the teacher additionally receives a complete worked example and provides token-level supervision along those tr

Read on arXiv →

#10 most recent of 628 cs.CL papers we have recorded · ↑ newer: Who is the Pronoun Pro? Comparing LLMs and Humans at Number-Disambigua · ↓ older: ufakzeka-kulak: Building and Evaluating a 31.6M-Parameter Turkish Spee
Cite this page: Shuffled OPSD: When Semantic Consistency Hurts On-Policy Self-Distillation?: the #10 most recent of 628 cs.CL papers we have recorded (as of 2026-11-03). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/shuffled-opsd-when-semantic-consistency-hurts-on-policy-self-distillation.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
Related: More cs.CL papers · arXiv signals · All papers · Today in AI
Get 4 AI signals a day by email — free.
Subscribe free → See all plans →
Get 4 AI signals a day by email — free
All models · All repos · By company · Daily editions