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Lessons from the Trenches on Reproducible Evaluation of Language Models

Paper summary

Documents methodological problems in language-model evaluation, including setup sensitivity, inconsistent comparisons, and weak reproducibility. Experience with the evaluation harness motivates concrete reporting and comparison practices.

Relevance to the project

A reference for fixing configurations, seeds, metrics, versions, and comparison conditions in simulation research as well as optional LLM work.

Language modelsEvaluation methodsReproducibility

A common harness does not eliminate flawed tasks or contaminated evidence.

Source record

Reference ID
lm-eval
Archived version
2405.14782v3
Summary provenance
reference-library/papers/lm-eval/metadata.json · summary
Review status
initial orientation summary; not a critical full-paper review
Reading scope
Selected abstract/opening and available closing discussion/conclusion passages in the preserved text extract; broader project notes provide context. No reproduction of experiments, exhaustive methods review, or equation/figure audit.