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pro vyhledávání: '"McLeish, Sean"'
Autor:
Markeeva, Larisa, McLeish, Sean, Ibarz, Borja, Bounsi, Wilfried, Kozlova, Olga, Vitvitskyi, Alex, Blundell, Charles, Goldstein, Tom, Schwarzschild, Avi, Veličković, Petar
Eliciting reasoning capabilities from language models (LMs) is a critical direction on the path towards building intelligent systems. Most recent studies dedicated to reasoning focus on out-of-distribution performance on procedurally-generated synthe
Externí odkaz:
http://arxiv.org/abs/2406.04229
Autor:
McLeish, Sean, Bansal, Arpit, Stein, Alex, Jain, Neel, Kirchenbauer, John, Bartoldson, Brian R., Kailkhura, Bhavya, Bhatele, Abhinav, Geiping, Jonas, Schwarzschild, Avi, Goldstein, Tom
The poor performance of transformers on arithmetic tasks seems to stem in large part from their inability to keep track of the exact position of each digit inside of a large span of digits. We mend this problem by adding an embedding to each digit th
Externí odkaz:
http://arxiv.org/abs/2405.17399
We evaluate ChatGPT's ability to solve algorithm problems from the CLRS benchmark suite that is designed for GNNs. The benchmark requires the use of a specified classical algorithm to solve a given problem. We find that ChatGPT outperforms specialist
Externí odkaz:
http://arxiv.org/abs/2404.03441