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HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs
arXiv.org, 2023Adapting a language model into a specific domain, a.k.a `domain adaption', is a common practice when specialized knowledge, e.g. medicine, is not encapsulated in a general language model like Llama2. The challenge lies in the heterogeneity of data across
Junying Chen +12 more
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Depicting Beyond Scores: Advancing Image Quality Assessment through Multi-modal Language Models
European Conference on Computer Vision, 2023We introduce a Depicted image Quality Assessment method (DepictQA), overcoming the constraints of traditional score-based methods. DepictQA allows for detailed, language-based, human-like evaluation of image quality by leveraging Multi-modal Large ...
Zhiyuan You +5 more
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A Survey on LLM-based Code Generation for Low-Resource and Domain-Specific Programming Languages
ACM Transactions on Software Engineering and MethodologyLarge Language Models (LLMs) have shown remarkable capabilities in code generation for popular programming languages. However, their performance in Low-Resource Programming Languages (LRPLs) and Domain-Specific Languages (DSLs) remains a critical ...
Sathvik Joel, J. Wu, Fatemeh H. Fard
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Conference on Empirical Methods in Natural Language Processing
Large Language Models (LLMs) demonstrate remarkable translation capabilities in high-resource language tasks, yet their performance in low-resource languages is hindered by insufficient multilingual data during pre-training.
Yinquan Lu +4 more
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Large Language Models (LLMs) demonstrate remarkable translation capabilities in high-resource language tasks, yet their performance in low-resource languages is hindered by insufficient multilingual data during pre-training.
Yinquan Lu +4 more
semanticscholar +1 more source
Hemispheric specialization for sign language
Neuropsychologia, 1996Most studies on sign lateralization provide inconclusive results about the role of the two hemispheres in sign language processing, whereas the cases reported in the clinical literature show sign language impairment only following left hemisphere damage, suggesting a similar neural organization to spoken languages. By discriminating different levels of
G. Grossi +3 more
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PUMA: A Programmable Ultra-efficient Memristor-based Accelerator for Machine Learning Inference
International Conference on Architectural Support for Programming Languages and Operating Systems, 2019Memristor crossbars are circuits capable of performing analog matrix-vector multiplications, overcoming the fundamental energy efficiency limitations of digital logic. They have been shown to be effective in special-purpose accelerators for a limited set
Aayush Ankit +10 more
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1997
Abstract The earliest explicit contrast between poetic and prosaic language is made (about 365) by lsocrates (ix. 9 f.). The lexemes, he says, which poets are able to use are not only áτ τ∈τγμ ναga those prescribed (sc. by general usage) but also those which are ‘alien’, Kaiv&.
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Abstract The earliest explicit contrast between poetic and prosaic language is made (about 365) by lsocrates (ix. 9 f.). The lexemes, he says, which poets are able to use are not only áτ τ∈τγμ ναga those prescribed (sc. by general usage) but also those which are ‘alien’, Kaiv&.
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Gemini Embedding: Generalizable Embeddings from Gemini
arXiv.orgIn this report, we introduce Gemini Embedding, a state-of-the-art embedding model leveraging the power of Gemini, Google's most capable large language model.
Jinhyuk Lee +46 more
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COMMON LANGUAGE VERSUS SPECIALIZED LANGUAGE [PDF]
Journal of Information Systems and Operations Management, 2011 This paper deals with the presentation of the common language and the specialized one. We also highlighted the relations and the differences between them. The specialized language is a vector of specialized knowledge, but sometimes it contains units from the common language.
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Special Families of Sewing Languages
2000Journal of Automata, Languages and Combinatorics, Volume 5, Number 3, 2000, 279 ...
Martín-Vide, Carlos +1 more
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