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A methodology for automatically detecting shared lemmatised constructions is put forward and applied to a referential communication corpus where participants aim to identify novel objects for which no established labels exist and shows that automatically detected shared constructions offer a useful level of analysis to...
Belief-Augmented Generation (BAG) is proposed: grounding LLMs in their own belief state via the prompt and letting them reason over these K samples to decide on and execute a conversational strategy: clarify, abstain, or answer.
Multilingual language models often produce inconsistent answers to semantically equivalent questions across languages, motivating methods to improve cross-lingual consistency (CLC). However, existing methods are typically evaluated using different models, tasks, and protocols, leaving their relative strengths unclear....
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