Eval answer keys pick central examples while real answers are quirky, dev argues
voooooogel · x · 2026-09-26
A developer reviewing an eval dataset points out a systemic flaw: in the examples shown, the genuinely correct answers in the real world are quirky or unusual, while the eval's labeled answers are always the most central, typical examples. This suggests such benchmarks may systematically mismeasure how models handle real-world edge cases.
More from Research
- How much watermark signal fits in AI text? A developer works the math end to end — OtherwisePush6424 · 2026-09-26
- LISA: Prompting LLMs to Build Interpretable Style Embeddings and a Stylometry Dataset — deliprao · 2026-09-26
- BindCraft 2 runs protein design on consumer GPUs at just 2 cents per trajectory — iskander · 2026-09-26
- Yoav Goldberg: Buckmaster sees AI agents as simply a way to scale test-time compute — yoavgo · 2026-09-26
- Spherical Flows for Categorical Data Paper Lands NeurIPS 2026 Spotlight — LucaAmb · 2026-09-26
- Japan's Tooth-Regrowth Drug Blocking USAG-1 Completes Phase I, Kids Trial Next — bumpthebass · 2026-09-26