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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.
This work presents a unified evaluation of representative CLC-enhancement methods for question answering, spanning inference-time interventions and post-training approaches across three model families and three closed-form benchmarks, highlighting the need to evaluate CLC enhancement for both cross-domain robustness an...
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