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cs.CL2025
From Input Perception to Predictive Insight: Modeling Model Blind Spots Before They Become Errors
Maggie Mi, Aline Villavicencio, Nafise Sadat Moosavi
Language models often struggle with idiomatic, figurative, or context-sensitive inputs, not because they produce flawed outputs, but because they misinterpret the input from the ou…
cs.CL2025
Stands to Reason: Investigating the Effect of Reasoning on Idiomaticity Detection
Dylan Phelps, Rodrigo Wilkens, Edward Gow-Smith +3
The recent trend towards utilisation of reasoning models has improved the performance of Large Language Models (LLMs) across many tasks which involve logical steps. One linguistic…
cs.CL2025
SemEval-2025 Task 1: AdMIRe -- Advancing Multimodal Idiomaticity Representation
Thomas Pickard, Aline Villavicencio, Maggie Mi +3
Idiomatic expressions present a unique challenge in NLP, as their meanings are often not directly inferable from their constituent words. Despite recent advancements in Large Langu…