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pro vyhledávání: '"Yax, Nicolas"'
In machine learning, contamination refers to situations where testing data leak into the training set. The issue is particularly relevant for the evaluation of the performance of Large Language Models (LLMs), which are generally trained on gargantuan
Externí odkaz:
http://arxiv.org/abs/2408.14352
In-context learning enables large language models (LLMs) to perform a variety of tasks, including learning to make reward-maximizing choices in simple bandit tasks. Given their potential use as (autonomous) decision-making agents, it is important to
Externí odkaz:
http://arxiv.org/abs/2405.11422
This paper introduces PhyloLM, a method adapting phylogenetic algorithms to Large Language Models (LLMs) to explore whether and how they relate to each other and to predict their performance characteristics. Our method calculates a phylogenetic dista
Externí odkaz:
http://arxiv.org/abs/2404.04671
Studies of reinforcement learning in humans and animals have demonstrated a preference for options that yielded relatively better outcomes in the past, even when those options are associated with lower absolute reward. The present study tested whethe
Externí odkaz:
http://arxiv.org/abs/2401.14530
In the present study, we investigate and compare reasoning in large language models (LLM) and humans using a selection of cognitive psychology tools traditionally dedicated to the study of (bounded) rationality. To do so, we presented to human partic
Externí odkaz:
http://arxiv.org/abs/2309.12485
Autor:
Yax N; Laboratoire de neurosciences cognitives et computationnelles, Institut national de la santé et de la recherche médicale, Paris, France.; Département d'études cognitives, Ecole normale supérieure - PSL Research University, Paris, France.; FLOWERS Lab, Institut national de recherche en informatique et en automatique, Bordeaux, France., Anlló H; Laboratoire de neurosciences cognitives et computationnelles, Institut national de la santé et de la recherche médicale, Paris, France.; Département d'études cognitives, Ecole normale supérieure - PSL Research University, Paris, France., Palminteri S; Laboratoire de neurosciences cognitives et computationnelles, Institut national de la santé et de la recherche médicale, Paris, France. stefano.palminteri@ens.fr.; Département d'études cognitives, Ecole normale supérieure - PSL Research University, Paris, France. stefano.palminteri@ens.fr.
Publikováno v:
Communications psychology [Commun Psychol] 2024 Jun 03; Vol. 2 (1), pp. 51. Date of Electronic Publication: 2024 Jun 03.
