Test Shows Multi-Generation and Self-Evaluation Effectively Improve SLM Summaries
SpecialNothingness · reddit · 2026-08-09
A developer tested using a Gemma 12B model to generate timestamped summaries of YouTube transcripts, validating the effectiveness of a 'multi-generation + self-evaluation' strategy.
- Experiment Design: The SLM generates multiple summaries and is prompted to compare two summaries (A and B) to pick the better one.
- Findings & Optimizations:
- The model exhibits a positional bias favoring the latter option (B). This can be mitigated by swapping the order for another round of comparison.
- Asking the model to justify its choice before the verdict does not significantly change the outcome.
- Evaluating wins and losses using a sports league format (MLE based on the Bradley-Terry model) shows that finding the best summary doesn't require exhaustive, quadratic-time pairwise comparisons.
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