Author

Judy Song

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#artificial intelligence Preprint Aug 2026

MUDDLE: Measuring Understanding of Documents under Distractor and Length Effects

In the complete markdown sweep, hard negatives lower accuracy more than length-matched random documents at both context sizes for gpt-5-mini, while random documents stay near the no-distractor baseline, and for gpt-5-mini hard negatives significantly underperform length-matched random distractors when pooled across context sizes.

Jason Luo, Saibilila Abudukelimu, Judy Song et al. · 0 citations

#artificial intelligence Preprint Aug 2026

NL2AGBench: Benchmarking LLM Auto-Formalization for AlphaGeometry

The Natural Language to AlphaGeometry Benchmark (NL2AGBench), which evaluates LLMs in translating English geometry problems into AlphaGeometry-compatible formal representations and introduces an error taxonomy distinguishing syntax and logic errors, which yield measurable improvements across multiple model families.

Samuel Xiao, Judy Song, Rory Hu et al. · 0 citations