Event knowledge in large language models: the gap between the impossible and the unlikely
Word co‐occurrence patterns in language corpora contain a surprising amount of
conceptual knowledge. Large language models (LLMs), trained to predict words in context …
conceptual knowledge. Large language models (LLMs), trained to predict words in context …
Event Knowledge in Large Language Models: The Gap Between the Impossible and the Unlikely.
C Kauf, AA Ivanova, G Rambelli, E Chersoni… - Cognitive …, 2023 - europepmc.org
Word co-occurrence patterns in language corpora contain a surprising amount of conceptual
knowledge. Large language models (LLMs), trained to predict words in context, leverage …
knowledge. Large language models (LLMs), trained to predict words in context, leverage …
Event knowledge in large language models: the gap between the impossible and the unlikely
C Kauf, AA Ivanova, G Rambelli, E Chersoni… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Word co-occurrence patterns in language corpora contain a surprising amount of conceptual
knowledge. Large language models (LLMs), trained to predict words in context, leverage …
knowledge. Large language models (LLMs), trained to predict words in context, leverage …
[PDF][PDF] Event knowledge in large language models: the gap between the impossible and the unlikely
C Kauf, AA Ivanova, G Rambelli, E Chersoni, JS She… - researchgate.net
Word co-occurrence patterns in language corpora contain a surprising amount of conceptual
knowledge. Large language models (LLMs), trained to predict words in context, leverage …
knowledge. Large language models (LLMs), trained to predict words in context, leverage …
Event Knowledge in Large Language Models: The Gap Between the Impossible and the Unlikely
C Kauf, AA Ivanova, G Rambelli, E Chersoni, JS She… - 2023 - philpapers.org
Word co‐occurrence patterns in language corpora contain a surprising amount of
conceptual knowledge. Large language models (LLMs), trained to predict words in context …
conceptual knowledge. Large language models (LLMs), trained to predict words in context …
Event knowledge in large language models: the gap between the impossible and the unlikely
C Kauf, A Ivanova, G Rambelli, E Chersoni… - Cognitive …, 2023 - research.polyu.edu.hk
Word co-occurrence patterns in language corpora contain a surprising amount of conceptual
knowledge. Large language models (LLMs), trained to predict words in context, leverage …
knowledge. Large language models (LLMs), trained to predict words in context, leverage …
[PDF][PDF] Event Knowledge in Large Language Models: The Gap Between the Impossible and the Unlikely
C Kauf, AA Ivanova, G Rambelli, E Chersoni… - Cognitive …, 2023 - colinglab.fileli.unipi.it
Word co-occurrence patterns in language corpora contain a surprising amount of conceptual
knowledge. Large language models (LLMs), trained to predict words in context, leverage …
knowledge. Large language models (LLMs), trained to predict words in context, leverage …
Event knowledge in large language models: the gap between the impossible and the unlikely
C Kauf, AA Ivanova, G Rambelli, E Chersoni… - arXiv preprint arXiv …, 2022 - arxiv.org
Word co-occurrence patterns in language corpora contain a surprising amount of conceptual
knowledge. Large language models (LLMs), trained to predict words in context, leverage …
knowledge. Large language models (LLMs), trained to predict words in context, leverage …
Event Knowledge in Large Language Models: The Gap Between the Impossible and the Unlikely
C Kauf, AA Ivanova, G Rambelli, E Chersoni, JS She… - Cognitive …, 2023 - cir.nii.ac.jp
抄録< jats: title> Abstract</jats: title>< jats: p> Word co‐occurrence patterns in language
corpora contain a surprising amount of conceptual knowledge. Large language models …
corpora contain a surprising amount of conceptual knowledge. Large language models …
[PDF][PDF] Event knowledge in large language models: the gap between the impossible and the unlikely
C Kauf, AA Ivanova, G Rambelli, E Chersoni, JS She… - academia.edu
People constantly use language to learn about the world. Computational linguists have
capitalized on this fact to build large language models (LLMs) that acquire co-occurrence …
capitalized on this fact to build large language models (LLMs) that acquire co-occurrence …