1 citations · 1 across the 4 of their papers we have counts for
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The Missing Minimal Pair: Stereotype Evaluation in LLMs
Nataliya Stepanova, Ivan Titov, Emily Allaway +1
A common approach to measuring bias in Large Language Models is to compare the log-likelihoods of two contrastive stereotype sentences. We argue that such single-pair comparisons a…
How broad is that claim? Mapping Generalisation in NLP Research
Chenxin Diao, Nataliya Stepanova, Emily Allaway
Generalisations are common in scientific communication, even though they are semantically ambiguous. An automated method is needed to identify and categorise claims according to th…
Analyzing LLM Instruction Optimization for Tabular Fact Verification
Xiaotang Du, Giwon Hong, Wai-Chung Kwan +4
Instruction optimization provides a lightweight, model-agnostic approach to enhancing the reasoning performance of large language models (LLMs). This paper presents the first syste…