Composition is the Core Driver of the Language-selective Network
Neurobiology of Language, 2020 The frontotemporal language network responds robustly and selectively to sentences. But the features of linguistic input that drive this response and the computations that these language areas support remain debated.
Francis Mollica +8 more
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Joint attention and exogenous attention allocation during mother-infant interaction at 12 months associate with 24-month vocabulary composition [PDF]
Frontiers in PsychologyIntroductionEarly attentional processes are inherently linked with early parent-infant interactions and play a critical role in shaping cognitive and linguistic development.
Elena Capelli +4 more
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Piccola - A Small Composition Language [PDF]
ECOOP Workshops, 1999 Piccola is a “small composition language” currently being developed within the Software Composition Group. The goal of Piccola is to support the flexible composition of applications from software components.
Oscar Nierstrasz
semanticscholar +2 more sources
Writing Language: Composition, the Academy, and Work [PDF]
Humanities, 2017 This paper argues that while college composition courses are commonly charged with remediating students by providing them with the literacy skills they lack, they may instead be redefined as providing the occasion for rewriting language and knowledge. By
Bruce Horner
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Apocrypha “The Passion of Jesus Christ”: Genesis, Composition, Language Features
Vestnik Volgogradskogo Gosudarstvennogo Universiteta. Seriâ 2. Âzykoznanie, 2015 The article deals with the issues of genesis, content, and peculiarities of existence in the Russian manuscript tradition of the passionary compiled work "The Passion of Jesus Christ" devoted to the description of the last days of the Saviour's life on ...
Elina Valeryevna Serebryakova
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InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition [PDF]
arXiv.org, 2023 We propose InternLM-XComposer, a vision-language large model that enables advanced image-text comprehension and composition. The innovative nature of our model is highlighted by three appealing properties: 1) Interleaved Text-Image Composition: InternLM ...
Pan Zhang +18 more
semanticscholar +1 more source
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition [PDF]
Annual Meeting of the Association for Computational Linguistics, 2023 Large language models (LLMs) with enormous pre-training tokens and parameters emerge diverse abilities, including math reasoning, code generation, and instruction following. These abilities are further enhanced by supervised fine-tuning (SFT).
Guanting Dong +9 more
semanticscholar +1 more source
LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition [PDF]
arXiv.org, 2023 Low-rank adaptations (LoRA) are often employed to fine-tune large language models (LLMs) for new tasks. This paper investigates LoRA composability for cross-task generalization and introduces LoraHub, a simple framework devised for the purposive assembly
Chengsong Huang +5 more
semanticscholar +1 more source
Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning [PDF]
International Conference on Learning Representations, 2023 The popularity of LLaMA (Touvron et al., 2023a;b) and other recently emerged moderate-sized large language models (LLMs) highlights the potential of building smaller yet powerful LLMs.
Mengzhou Xia +3 more
semanticscholar +1 more source
A Compositional Neural Architecture for Language [PDF]
Journal of Cognitive Neuroscience, 2018 AbstractHierarchical structure and compositionality imbue human language with unparalleled expressive power and set it apart from other perception–action systems. However, neither formal nor neurobiological models account for how these defining computational properties might arise in a physiological system.
Andrea E. Martin, Andrea E. Martin
openaire +10 more sources