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inplace-feedback-multi-turn-reasoning

Enable more precise LLM error correction by having users directly edit the model's previous response, conditioning the next response on this corrected version. This approach reduces token overhead by 79% compared to traditional separate-feedback methods while fixing more errors in complex reasoning tasks.

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Source facts

Repository
ADu2021/skillXiv
Last source activity
March 24, 2026 at 19:42
Detected SKILL.md language
English
Stars
6
Forks
0

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