Zobrazeno 1 - 10
of 334
pro vyhledávání: '"Chemla, Emmanuel"'
Recent progress in Spoken Language Modeling has shown that learning language directly from speech is feasible. Generating speech through a pipeline that operates at the text level typically loses nuances, intonations, and non-verbal vocalizations. Mo
Externí odkaz:
http://arxiv.org/abs/2410.00025
Autor:
Chemla, Emmanuel, Nefdt, Ryan M.
What role can the otherwise successful Large Language Models (LLMs) play in the understanding of human cognition, and in particular in terms of informing language acquisition debates? To contribute to this question, we first argue that neither humans
Externí odkaz:
http://arxiv.org/abs/2408.09544
Do architectural differences significantly affect the way models represent and process language? We propose a new approach, based on metric-learning encoding models (MLEMs), as a first step to answer this question. The approach provides a feature-bas
Externí odkaz:
http://arxiv.org/abs/2406.12620
Unsupervised on-the-fly back-translation, in conjunction with multilingual pretraining, is the dominant method for unsupervised neural machine translation. Theoretically, however, the method should not work in general. We therefore conduct controlled
Externí odkaz:
http://arxiv.org/abs/2403.18031
Autor:
Jalouzot, Louis, Sobczyk, Robin, Lhopitallier, Bastien, Salle, Jeanne, Lan, Nur, Chemla, Emmanuel, Lakretz, Yair
We introduce Metric-Learning Encoding Models (MLEMs) as a new approach to understand how neural systems represent the theoretical features of the objects they process. As a proof-of-concept, we apply MLEMs to neural representations extracted from BER
Externí odkaz:
http://arxiv.org/abs/2402.11608
Neural networks offer good approximation to many tasks but consistently fail to reach perfect generalization, even when theoretical work shows that such perfect solutions can be expressed by certain architectures. Using the task of formal language le
Externí odkaz:
http://arxiv.org/abs/2402.10013
Publikováno v:
The Review of Symbolic Logic 17 (2024) 682-704
Given a three-valued definition of validity, which choice of three-valued truth tables for the connectives can ensure that the resulting logic coincides exactly with classical logic? We give an answer to this question for the five monotonic consequen
Externí odkaz:
http://arxiv.org/abs/2312.16035
Associative memory architectures are designed for memorization but also offer, through their retrieval method, a form of generalization to unseen inputs: stored memories can be seen as prototypes from this point of view. Focusing on Modern Hopfield N
Externí odkaz:
http://arxiv.org/abs/2311.06518
How well do neural networks generalize? Even for grammar induction tasks, where the target generalization is fully known, previous works have left the question open, testing very limited ranges beyond the training set and using different success crit
Externí odkaz:
http://arxiv.org/abs/2308.08253
Autor:
Zhang, Haiqin1,2 (AUTHOR) cizhang21@gmail.com, Chemla, Emmanuel2,3 (AUTHOR), Pelofi, Claire4 (AUTHOR), Bonnasse-Gahot, Laurent1 (AUTHOR)
Publikováno v:
PLoS ONE. 11/25/2024, Vol. 19 Issue 11, p1-19. 19p.
