Results 91 to 100 of about 186,001 (296)
LLM-Sketch: Enhancing Network Sketches with LLM
Network stream mining is fundamental to many network operations. Sketches, as compact data structures that offer low memory overhead with bounded accuracy, have emerged as a promising solution for network stream mining. Recent studies attempt to optimize sketches using machine learning; however, these approaches face the challenges of lacking ...
Li, Yuanpeng +5 more
openaire +2 more sources
Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain‐Machine Interface
Episodic memory weaves together what, where, and when of experience into a personal narrative. Cutting‐edge AI models may decode this intricate process in real‐life settings, revealing how neural activity encodes naturalistic memories. By merging AI with brain–machine interfaces, researchers are edging closer to mapping and even engineering memory ...
Dong Song
wiley +1 more source
Enhancing early depression detection with AI: a comparative use of NLP models
One of the most underdiagnosed medical conditions worldwide is depression. It has been demonstrated that the current classical procedures for early detection of depression are insufficient, which emphasizes the importance of seeking a more efficient ...
Bakir Hadzic +6 more
doaj +1 more source
LLM-AR: LLM-powered Automated Reasoning Framework
Large language models (LLMs) can already identify patterns and reason effectively, yet their variable accuracy hampers adoption in high-stakes decision-making applications. In this paper, we study this issue from a venture capital perspective by predicting idea-stage startup success based on founder traits.
Chen, Rick +5 more
openaire +2 more sources
Leveraging Macrophage Metabolic Reprogramming for Enhanced Anti‐Tumor Immunity
Tumor‐associated macrophages (TAMs) are key regulators of the tumor microenvironment (TME), with their metabolic states playing a critical role in tumor progression or regression. This review summarizes current understanding of TAM metabolic plasticity alongside cutting‐edge bioengineering innovations, outlining a roadmap for transforming the ...
Zhiyun Liu +8 more
wiley +1 more source
In the judgment of the Federal Court of Justice of Federal Republic of Germany on 29 March 2011 published hereunder is presented its attitude concerning jurisdiction over the disputes from the publications in the Internet.
D. V. Tarikanov
doaj +1 more source
CBF-LLM: Safe Control for LLM Alignment
This paper proposes a control-based framework for aligning large language models (LLMs) by leveraging a control barrier function (CBF) to ensure user-desirable text generation. The presented framework applies the safety filter, designed based on the CBF, to the output generation of the baseline LLM, i.e., the sequence of the token, with the aim of ...
Miyaoka, Yuya, Inoue, Masaki
openaire +2 more sources
CMS swaps in separable one-factor Gaussian LLM and HJM model [PDF]
An approximation approach to Constant Maturity Swaps (CMS) pricing in the separable one-factor Gaussian LLM and HJM models is presented. The approximation used is a Taylor expansion on the swap rate as a function of a random variable which is intuitively
Henrard, Marc
core +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
On 6 October 2015, the Court of Justice of the European Union (CJEU) issued the final ruling in Schrems v Data Protection Commissioner (Case C-362/14). In its ruling the Court invalidated the Safe Harbour arrangement, which governs data transfers between
Marina Škrinjar Vidović
doaj +1 more source

