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pro vyhledávání: '"Souza, Lincon S."'
Frame Representation Hypothesis: Multi-Token LLM Interpretability and Concept-Guided Text Generation
Interpretability is a key challenge in fostering trust for Large Language Models (LLMs), which stems from the complexity of extracting reasoning from model's parameters. We present the Frame Representation Hypothesis, a theoretically robust framework
Externí odkaz:
http://arxiv.org/abs/2412.07334
Publikováno v:
In Applied Acoustics 5 November 2024 225
This paper addresses the problem of object recognition given a set of images as input (e.g., multiple camera sources and video frames). Convolutional neural network (CNN)-based frameworks do not exploit these sets effectively, processing a pattern as
Externí odkaz:
http://arxiv.org/abs/2111.04352
Publikováno v:
In Machine Learning with Applications 15 December 2023 14
Publikováno v:
In Neurocomputing 14 January 2023 517:20-33
Text classification has become indispensable due to the rapid increase of text in digital form. Over the past three decades, efforts have been made to approach this task using various learning algorithms and statistical models based on bag-of-words (
Externí odkaz:
http://arxiv.org/abs/1806.03125
Publikováno v:
In Machine Learning with Applications 15 December 2022 10
Publikováno v:
In Pattern Recognition January 2020 97
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