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cs.LG2026
Brittlebench: Quantifying LLM robustness via prompt sensitivity
Angelika Romanou, Mark Ibrahim, Candace Ross +8
Existing evaluation methods largely rely on clean, static benchmarks, which can overestimate true model performance by failing to capture the noise and variability inherent in real…
cs.LG2021
Interpreting Language Models Through Knowledge Graph Extraction
Vinitra Swamy, Angelika Romanou, Martin Jaggi
Transformer-based language models trained on large text corpora have enjoyed immense popularity in the natural language processing community and are commonly used as a starting poi…