Adaptive instruction selection helps language models learn from peers

A bandit-guided training curriculum improved collaborative alignment by directing model competitions toward instructions that produced useful preference signals.

Big Tech
Christina Hahn · Shangbin Feng · Dean Light · Swastik Roy · Hila Gonen · Yulia Tsvetkov

University of Washington · Amazon · University of British Columbia

Research Digest··3 min read
Hahn et al.

The authors cast collaborative model training as a leader-follower game.

Why this paper

From Amazon and 2 others

In one line

Adaptive instruction selection via a Stackelberg game improves multi-LLM collaborative alignment across benchmarks.

What we could check

  • ·No code link found
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  • ·No compute details found
  • ·No stated limitations found
  • ·No benchmark numbers found

Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.

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