Results 81 to 90 of about 4,144,297 (347)
human Language generation model vs. large language models
, 2023 Data pertaining to the paper "A human Language generation model vs.
Torres-Martínez, Sergio
core +1 more source
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
Comparison of Large Language Model with Aphasia
Advanced ScienceLarge language models (LLMs) respond fluently but often inaccurately, which resembles aphasia in humans. Does this behavioral similarity indicate any resemblance in internal information processing between LLMs and aphasic humans?
Takamitsu Watanabe +4 more
doaj +1 more source
FlowLLM: Large language model driven flow visualization
Visual InformaticsFlow visualization is an essential tool for domain experts to understand and analyze flow fields intuitively. In the past decades, various interactive techniques were developed to customize flow visualization for exploration.
Zilin Li, Weihan Zhang, Jun Tao
doaj +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
Designing a large language model for chemists
PatternsIn a recent issue of Cell Reports Physical Science, Zhao et al. introduced ChemDFM, a foundational large language model designed specifically for chemistry.
Xiaoyi Chen, Haixu Tang
doaj +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.
openaire +2 more sources
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
openaire +2 more sources
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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Development of human monoclonal antibodies against TARM1 by yeast display
FEBS Open Bio, EarlyView.Human monoclonal antibodies against TARM1 are generated by yeast display‐guided selection. These antibodies bind to soluble and cell‐surface forms of TARM1. Also, these antibodies exhibit agonistic activity in the NFAT‐GFP reporter assay, indicating that TARM1 signaling can be functionally modulated by antibodies and suggesting TARM1 as a potential ...
Rikio Yabe +5 more
wiley +1 more source