Oct 23, 2022 · We find that a language model trained on a measurement-rich corpus shows better performance on understanding measurements.
We find that a language model trained on a measurement-rich corpus shows better performance on understanding measurements.
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Oct 23, 2022 · In this study, we show that PLMs lack the capability required for reasoning over measurements. Furthermore, we find that a language model ...
Jan 22, 2024 · Far from being “stochastic parrots,” the biggest large language models seem to learn enough skills to understand the words they're processing.
Dec 17, 2021 · No, LLMs absolutely do not understand us, or "learn" in the same way humans have learned. I prefer not to even call it AI, but only machine ...
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Jan 11, 2024 · In this work, we propose a new framework that utilizes measurements of knowledge derived from information theory.
Aug 20, 2024 · LLMs consistently demonstrate an apparent ability to understand what we want. But to what extent do LLMs truly “understand”?
Jul 29, 2024 · This paper investigates to what extent these biases impact the validity of measurements created with language models.
Nov 26, 2023 · This paper presents the Value Understanding Measurement (VUM) framework to quantitatively assess the understanding of values in large language models (LLMs) by ...
Mar 1, 2024 · But over time, they identify relationships – meanings – between all the data they've seen and, as they scale, develop their own internal ...