Results 31 to 40 of about 56,050 (312)
Advanced Materials, EarlyView.Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
AI & SOCIETYAbstract Artificial testimony generated by large language models (LLMs) can be a source of knowledge. However, the requirement that artificial testifiers must satisfy for successful knowledge acquisition is different from the requirement that human testifiers must satisfy.
Jinhua He, Chen Yang
openaire +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
Advanced Robotics Research, EarlyView.This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
LLM-Sketch: Enhancing Network Sketches with LLM
CoRRNetwork 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 ...
Yuanpeng Li 0002 +5 more
openaire +2 more sources
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Real Time Deep Learning Model for Food Item Identification and Recipe Data Generation [PDF]
BIO Web of ConferencesAccurate and fast identification of various food items can be very useful, in terms of preventing harm caused by allergies and other problems. In this work, an attempt is made to classify food items from real-world images with great accuracy and in real ...
Ralhan Sanshruth +2 more
doaj +1 more source
Diffusion LLMs are Natural Adversaries for any LLM
CoRRWe introduce a novel framework that transforms the resource-intensive (adversarial) prompt optimization problem into an \emph{efficient, amortized inference task}. Our core insight is that pretrained, non-autoregressive generative LLMs, such as Diffusion LLMs, which model the joint distribution over prompt-response pairs, can serve as powerful ...
David Lüdke +4 more
openaire +2 more sources
Supporting Human-AI Collaboration in Auditing LLMs with LLMs
Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 2023 21 pages, 3 ...
Charvi Rastogi +4 more
openaire +2 more sources
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
Advanced Robotics Research, EarlyView.BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Tehisintellekti rakendamine erialakeele arendamisel riigikaitseterminoloogia näitel
Eesti Rakenduslingvistika Ühingu AastaraamatSuurte keelemudelite ja tehisintellekti kiire areng pakub võimalusi nende mitmekülgseks rakendamiseks, mh erialakeele arendamisel. Artikli eesmärk on analüüsida riigikaitsevaldkonna terminitöö näitel välistoelise genereerimise (RAG) sobivust ja tõhusust ...
Sandra Eiche +4 more
doaj +1 more source