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Found 4 papers, 1 papers with code
LLMs' Reading Comprehension Is Affected by Parametric Knowledge and Struggles with Hypothetical Statements
In particular, while some models prove virtually unaffected by knowledge conflicts in affirmative and negative contexts, when faced with more semantically involved modal and conditional environments, they often fail to separate the text from their internal knowledge.
Simple Linguistic Inferences of Large Language Models (LLMs): Blind Spots and Blinds
We evaluate LLMs' language understanding capacities on simple inference tasks that most humans find trivial.
Text-based NP Enrichment
Understanding the relations between entities denoted by NPs in a text is a critical part of human-like natural language understanding.
The Extraordinary Failure of Complement Coercion Crowdsourcing
In this work, we follow known methodologies of collecting labeled data for the complement coercion phenomenon.
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