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cs.CL2026
A retrieval conditioned rebinding circuit for dynamic entity tracking in large language models
Soyoung Oh, Vera Demberg
To interpret context correctly and retrieve relevant information, large language models must bind entities to their attributes and update these bindings as state changes. We analyz…
cs.CL2026
Bridging Fairness and Explainability: Can Input-Based Explanations Promote Fairness in Hate Speech Detection?
Yifan Wang, Mayank Jobanputra, Ji-Ung Lee +3
Natural language processing (NLP) models often replicate or amplify social bias from training data, raising concerns about fairness. At the same time, their black-box nature makes…
cs.CL2026
Tug-of-war between idioms' figurative and literal interpretations in LLMs
Soyoung Oh, Xinting Huang, Mathis Pink +2
Idioms present a unique challenge for language models due to their non-compositional figurative interpretations, which often strongly diverge from the idiom's literal interpretatio…