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Thao Pham

2 accepted papers

2025

Truth Behind the Scene: Designing Evaluations Benchmarks to Assess LLMs’ Task-Specific Understanding over Test-Taking Strategies

AAAI 2025technical

Many existing benchmarks, such as MMLU, are limited to measuring large language models’ (LLM) true task understanding due to their reliance on statistical patterns in the training data. We suggest new approaches to improve how benchmarks can capture task-specific understanding in LLMs, revealing ins…

Cited by 0SourcePDFScholar
2024

The Base-Rate Effect on LLM Benchmark Performance: Disambiguating Test-Taking Strategies from Benchmark Performance

EMNLP 2024finding

Cloze testing is a common method for measuring the behavior of large language models on a number of benchmark tasks. Using the MMLU dataset, we show that the base-rate probability (BRP) differences across answer tokens are significant and affect task performance ie. guess A if uncertain. We find tha…