| Challenge: | Existing Large Language Models (LLMs) engage in pragmatic inference of scalar implicature, such as some. |
| Approach: | They investigate how Large Language Models (LLMs) engage in pragmatic inference of scalar implicature, such as some. |
| Outcome: | The proposed models interpret some as pragmatic implicature not all in the absence of context, aligning with human language processing. |
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| Challenge: | Natural language inference (NLI) is an increasingly important task for natural language understanding . however, the ability of NLI models to make pragmatic inferences remains understudied . |
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Bolei Ma, Yuting Li, Wei Zhou, Ziwei Gong, Yang Janet Liu, Katja Jasinskaja, Annemarie Friedrich, Julia Hirschberg, Frauke Kreuter, Barbara Plank
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| Challenge: | a lightweight technique trains only new token embeddings on axioms and evaluates them on unseen tasks. |
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| Challenge: | scalar implicatures are a phenomenon by which a speaker conveys the negation of a more informative utterance by producing a less informative . |
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Quantifying Generalizations: Exploring the Divide Between Human and LLMs’ Sensitivity to Quantification (2024.acl-long)
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| Challenge: | Generics are expressions used to communicate abstractions about categories . they allow for exceptions, and they are a powerful way to express knowledge about the world . |
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