The authors analyzed teacher interventions in ScienceWorld and WebShop by branching from the same interaction state.
Agent distillation improves when supervision follows outcomes, not model disagreement
Outcome-guided weighting identifies which teacher interventions actually help the current student complete multi-turn tasks.
Chinese Tech
Tong Zhang · Zhou Liu · Yihao Liu · Jiahua Bao · Xuchen Li · Honglin Lin · +5 more
Qwen Large Model Application Team, Alibaba · Peking University · University of Chinese Academy of Sciences · Shanghai Jiao Tong University
Research Digest··2 min read
Zhang et al.
Why this paper
From University of Chinese Academy of Sciences and 3 others
In one line
Outcome-calibrated teacher supervision improves multi-turn agent distillation because token-level teacher-student gaps alone do not predict which interventions improve task success.
What we could check
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- ✓Reports numbers on named benchmarks
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