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pro vyhledávání: '"Kodner, Jordan"'
Recent studies have proposed placing multiple problems in a single prompt to improve input token utilization for a more efficient LLM inference. We call this MPP, in contrast to conventional SPP that prompts an LLM with a single problem at a time. Wh
Externí odkaz:
http://arxiv.org/abs/2406.10786
The success of neural language models (LMs) on many technological tasks has brought about their potential relevance as scientific theories of language despite some clear differences between LM training and child language acquisition. In this paper we
Externí odkaz:
http://arxiv.org/abs/2310.20093
Modern work on the cross-linguistic computational modeling of morphological inflection has typically employed language-independent data splitting algorithms. In this paper, we supplement that approach with language-specific probes designed to test as
Externí odkaz:
http://arxiv.org/abs/2310.13686
We present a critical assessment of Piantadosi's (2023) claim that "Modern language models refute Chomsky's approach to language," focusing on four main points. First, despite the impressive performance and utility of large language models (LLMs), hu
Externí odkaz:
http://arxiv.org/abs/2308.03228
Morphological inflection is a popular task in sub-word NLP with both practical and cognitive applications. For years now, state-of-the-art systems have reported high, but also highly variable, performance across data sets and languages. We investigat
Externí odkaz:
http://arxiv.org/abs/2305.15637
As children acquire the knowledge of their language's morphology, they invariably discover the productive processes that can generalize to new words. Morphological learning is made challenging by the fact that even fully productive rules have excepti
Externí odkaz:
http://arxiv.org/abs/2105.05790
Autor:
Kodner, Jordan, Gupta, Nitish
With the advent of powerful neural language models over the last few years, research attention has increasingly focused on what aspects of language they represent that make them so successful. Several testing methodologies have been developed to prob
Externí odkaz:
http://arxiv.org/abs/2004.05067
Generating the English transliteration of a name written in a foreign script is an important and challenging step in multilingual knowledge acquisition and information extraction. Existing approaches to transliteration generation require a large (>50
Externí odkaz:
http://arxiv.org/abs/1809.07807
Publikováno v:
In Cognition December 2020 205
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