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Hey, guess what: CUES lead to inferences about typicality
Alison Chi, Sanghyeok Choi, Hannah Rohde, Emily Allaway

Hey, guess what: CUES lead to inferences about typicality

Computer Science & Mathematics Published 2026 Verification Pending

Overview & Synopsis

Throughout life, we accumulate knowledge of how typical certain events are. We use this knowledge in daily conversation, often interpreting meaning beyond what has been said explicitly. In this work, we take steps to better understand this meaning recovery, investigating both atypicality and typicality inferences. First, we construct two corpora, EventTyp and the human-validated EventTypGold. We conduct large-scale human and LLM experiments and find that for humans, three CUES predict inferences about typicality: Commonsense Knowledge, Utterance Emphasis, and Snark. However, in most experimental settings, we find that LLMs lack the prerequisite Commonsense Knowledge necessary to accurately assess an event's general typicality, and therefore struggle to follow these CUES.

Indexed from repository: arXiv (arxiv.org)
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Document Information

Document Title Hey, guess what: CUES lead to inferences about typicality
Author / Organization Alison Chi, Sanghyeok Choi, Hannah Rohde, Emily Allaway
Subject & Discipline cs.CL
Categories Computer Science & Mathematics
Publication Year 2026
License / Rights arXiv Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website arXiv (arxiv.org)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-116587
Original Source Link Visit Source Page on arxiv.org »