Testing AI on language comprehension tasks reveals insensitivity to ...
Testing AI on language comprehension tasks reveals insensitivity to ...
Large Language Models (LLMs) are recruited in applications that span from clinical assistance and legal support to question answering and ...
Testing AI on language comprehension tasks reveals insensitivity to ...
Title:Testing AI on language comprehension tasks reveals insensitivity to underlying meaning ... Abstract:Large Language Models (LLMs) are ...
Testing AI on language comprehension tasks reveals insensitivity to ...
Testing AI on language comprehension tasks reveals insensitivity to underlying meaning ... Preprints and early-stage research may not have been ...
Testing AI on language comprehension tasks reveals insensitivity to ...
It is argued that, despite their usefulness in various tasks, current AI models fall short of understanding language in a way that matches ...
We comprehensively show that they do not. Content cover image. Testing AI on language comprehension tasks reveals insensitivity to underlying ...
Testing AI on language comprehension tasks reveals insensitivity to ...
The researchers interpret these findings as evidence that current LLMs, despite their usefulness in many applications, fall short of truly ...
We comprehensively show that they do not. Content cover image. Testing AI on language comprehension tasks reveals insensitivity to underlying meaning · From ...
Gary Marcus | Papers With Code
We interpret this evidence as suggesting that, despite their usefulness in various tasks, current AI models fall short of understanding language in a way that ...
Testing AI performance on less frequent aspects of language ...
To this end, we prompt GPT-3 with a grammaticality judgement task and comprehension questions on less frequent constructions that are thus unlikely to form part ...
Can Large Language Models Understand Human Language?
Testing AI on language comprehension tasks reveals insensitivity to underlying meaning · Computer Science, Linguistics · 2023.
Vittoria Dentella | Papers With Code
We interpret this evidence as suggesting that, despite their usefulness in various tasks, current AI models fall short of understanding language in a way that ...
Publications - Evelina Leivada
Vittoria Dentella, Fritz Günther, Elliot Murphy, Gary Marcus & Evelina Leivada. Preprint. Testing AI on language comprehension tasks reveals insensitivity to ...
Gary Marcus's research works | New York University and other places
Testing AI on language comprehension tasks reveals insensitivity to underlying meaning · Preprint · File available. February 2023. ·. 23 Reads. Vittoria ...
Prof. Evelina Leivada on X: "SUPER excited about our new preprint ...
Testing AI on language comprehension tasks reveals insensitivity... Large Language Models (LLMs) are recruited in applications that span ...
Language, common sense, and the Winograd schema challenge
The upshot is that linguistic tasks in general cannot provide a good test of common-sense; there is just more to semantic knowledge than what we talk about.
I am all ears: listening exams with AI and its traces on foreign ...
One goal of listening exams, whether AI-driven or traditional, is to enhance learners' listening comprehension skills. Decoding spoken language, ...
Systematic testing of three Language Models reveals low ... - NCBI
Through systematic testing, we demonstrate that LMs perform nearly at chance in some language judgment tasks, while revealing a stark absence of ...
Can Large Language Models Understand Hum4n L4ngu4ge ... - arXiv
Dentella, V., Günther, F., Murphy, E., Marcus, G. & Leivada, E. Testing AI on language comprehension tasks reveals insensitivity to underlying meaning. arXiv:.
GPT-3 reveals selective insensitivity to global vs. local linguistic ...
GPT-3 reveals selective insensitivity to global vs. local linguistic context in speech produced by treatment-naïve patients with positive ...
Language in Vivo vs. in Silico: Size Matters but Larger ... - AIModels.fyi
Testing AI on language comprehension tasks reveals insensitivity to underlying meaning. Vittoria Dentella, Fritz Guenther, Elliot Murphy ...