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cs.CL2026
LLM Alignment--Utility Asymmetry under Semantic-Preserving Transformations
Mohan Li, Chengyu Yu, Francesco Sovrano +2
Large Language Model (LLM) alignment is intended to ensure that models remain helpful and safe, but its stability under input distributional shift is not yet fully understood. Prio…
cs.CL2026
Illocutionary Explanation Planning for Source-Faithful Explanations in Retrieval-Augmented Language Models
Francesco Sovrano, Alberto Bacchelli
Natural language explanations produced by large language models (LLMs) are often persuasive, but not necessarily scrutable: users cannot easily verify whether the claims in an expl…