Results 81 to 90 of about 515,234 (309)
Large Language Models as Kuwaiti Annotators
Big Data and Cognitive ComputingStance detection for low-resource languages, such as the Kuwaiti dialect, poses a significant challenge in natural language processing (NLP) due to the scarcity of annotated datasets and specialized tools.
Hana Alostad
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Nuclear pore links Fob1‐dependent rDNA damage relocation to lifespan control
FEBS Open Bio, EarlyView.Damaged rDNA accumulates at a specific perinuclear interface that couples nucleolar escape with nuclear envelope association. Nuclear pores at this site help inhibit Fob1‐induced rDNA instability. This spatial organization of damage handling supports a functional link between nuclear architecture, rDNA stability, and replicative lifespan in yeast.
Yamato Okada +5 more
wiley +1 more source
Modelling language using large language models
Philosophical StudiesAbstract This paper argues that large language models have a valuable scientific role to play in serving as scientific models of public languages. Linguistic study should not only be concerned with the cognitive processes behind linguistic competence, but also with language understood as an external, social entity.
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The Large Language Model GreekLegalRoBERTa
Proceedings of the 13th Hellenic Conference on Artificial IntelligenceWe develop four versions of GreekLegalRoBERTa, which are four large language models trained on Greek legal and nonlegal text. We show that our models surpass the performance of GreekLegalBERT, Greek- LegalBERT-v2, and GreekBERT in two tasks involving Greek legal documents: named entity recognition and multi-class legal topic classification. We view our
Vasileios Saketos +2 more
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LARGE LANGUAGE MODELS FOR CIPHERS
International Journal of Artificial Intelligence & Applications, 2023 This study investigates whether transformer models like ChatGPT (GPT4, MAR2023) can generalize beyond their training data by examining their performance on the novel Cipher Dataset, which scrambles token order. The dataset consists of 654 test cases, and the analysis focuses on 51 text examples and 13 algorithmic choices.
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Large Language Models are Catalyzing Chemistry Education
Large language models (LLMs) have demonstrated outstanding capabilities in general problem-solving and been shown to improve productivity in certain domains. Thanks to their flexibility, recent work has leveraged them for diverse scientific applications,
Chenru, Duan +8 more
core +1 more source
FEBS Open Bio, EarlyView.Amino acids sequence of two different proteins with the same sequence (chameleon sequence—black boxes) represent in 3D structure of the proteins different secondary structures: HHHH—helical and BBB—Beta‐structural. The chains folded in water environment adopt different III‐order structures in which the chameleon fragments appear to adopt similar status
Irena Roterman +4 more
wiley +1 more source
CoRRAs virtual agents become increasingly prevalent in human-computer interaction, generating realistic and contextually appropriate gestures in real-time remains a significant challenge. While neural rendering techniques have made substantial progress with static scripts, their applicability to human-computer interactions remains limited. To address this,
Saif Punjwani, Larry Heck
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Bridging language gaps in critical care with large language models – Response to Yu
We thank the author for their letter titled Bridging language gaps in critical care: Synergizing large language models and professional interpreters for equitable, patient-centred communication,1 published in response to a Current Insights editorial ...
Sundararajan, Krishnaswamy +1 more
core +1 more source
Steganography with Large Language Models
Proceedings of the International Florida Artificial Intelligence Research Society ConferenceLarge language model (LLM) steganography generates fluent cover text that encodes a secret message, with the secret key often given as a natural language prompt or seed.
Alexander V Mantzaris +4 more
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