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Mitigating Exploration Bias in RL for Multi-Instruction Following

This story is from 2026-08-26. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2608.23830v1 Announce Type: new Abstract: RL has emerged as a powerful paradigm for enhancing the instruction following capabilities of LLMs. While existing training recipes achieve substantial gains, we find that they suffer from exploration bias towards easy instructions when the training d…

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  1. 2026-08-26 04:00 · arXiv cs.CL
    Mitigating Exploration Bias in RL for Multi-Instruction Following

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