Zobrazeno 1 - 10
of 21 069
pro vyhledávání: '"Arik, A."'
The metric tensor field equations for the general quadratic curvature gravity in four spacetime dimensions are derived by making use of the algebra of the exterior forms defined on pseudo-Riemannian manifolds and the identities satisfied by the Riema
Externí odkaz:
http://arxiv.org/abs/2411.00624
Travelling waves and wave pinning (polarity): Switching between random and directional cell motility
We derive a simple model of actin waves consisting of three partial differential equations (PDEs) for active and inactive GTPase promoting growth of filamentous actin (F-actin, $F$). The F-actin feeds back to inactivate the GTPase at rate $sF$, where
Externí odkaz:
http://arxiv.org/abs/2410.12213
Autor:
Ergen, Mert, Arık, Metin
We construct a simple model of a closed FLRW spacetime by starting from a flat five dimensional scalar field space with a quartic potential. The action contains no curvature terms. The spacetime metric is uniquely determined from the dynamical equati
Externí odkaz:
http://arxiv.org/abs/2410.12505
Retrieval-Augmented Generation (RAG), while effective in integrating external knowledge to address the limitations of large language models (LLMs), can be undermined by imperfect retrieval, which may introduce irrelevant, misleading, or even maliciou
Externí odkaz:
http://arxiv.org/abs/2410.07176
Retrieval-augmented generation (RAG) empowers large language models (LLMs) to utilize external knowledge sources. The increasing capacity of LLMs to process longer input sequences opens up avenues for providing more retrieved information, to potentia
Externí odkaz:
http://arxiv.org/abs/2410.05983
Autor:
Pourreza, Mohammadreza, Li, Hailong, Sun, Ruoxi, Chung, Yeounoh, Talaei, Shayan, Kakkar, Gaurav Tarlok, Gan, Yu, Saberi, Amin, Ozcan, Fatma, Arik, Sercan O.
In tackling the challenges of large language model (LLM) performance for Text-to-SQL tasks, we introduce CHASE-SQL, a new framework that employs innovative strategies, using test-time compute in multi-agent modeling to improve candidate generation an
Externí odkaz:
http://arxiv.org/abs/2410.01943
Autor:
Pourreza, Mohammadreza, Sun, Ruoxi, Li, Hailong, Miculicich, Lesly, Pfister, Tomas, Arik, Sercan O.
Recent advances in Text-to-SQL have largely focused on the SQLite dialect, neglecting the diverse landscape of SQL dialects like BigQuery and PostgreSQL. This limitation is due to the diversity in SQL syntaxes and functions, along with the high cost
Externí odkaz:
http://arxiv.org/abs/2408.12733
Multimodal Large Language Models (MLLMs) demonstrate remarkable image-language capabilities, but their widespread use faces challenges in cost-effective training and adaptation. Existing approaches often necessitate expensive language model retrainin
Externí odkaz:
http://arxiv.org/abs/2408.06610
Autor:
Thielmann, Anton Frederik, Kumar, Manish, Weisser, Christoph, Reuter, Arik, Säfken, Benjamin, Samiee, Soheila
The analysis of tabular data has traditionally been dominated by gradient-boosted decision trees (GBDTs), known for their proficiency with mixed categorical and numerical features. However, recent deep learning innovations are challenging this domina
Externí odkaz:
http://arxiv.org/abs/2408.06291
Beyond the Sun-Earth line, spacecraft equipped with various solar telescopes are intended to be deployed at several different vantage points in the heliosphere to carry out coordinated, multi-view observations of the Sun and its dynamic activities. I
Externí odkaz:
http://arxiv.org/abs/2408.04208