Results 61 to 70 of about 56,050 (312)

Case Law as Data : Prompt Engineering Strategies for Case Outcome Extraction with Large Language Models in a Zero-Shot Setting

open access: yesLaw, Technology and Humans
This study explores the effectiveness of prompt optimization techniques for legal case outcome extraction using Large Language Models (LLMs). Two state-of-the-art LLMs, LLaMA3 70b and Mixtral 8x7b, are used in a zero-shot data extraction task on a ...
Guillaume Zambrano
doaj   +1 more source

LLM questions papers - 2016

open access: yes, 2016
LLM questions paper ...
Vidyasagar University
core  

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu   +4 more
wiley   +1 more source

Evaluating LLMs at Detecting Errors in LLM Responses

open access: yesCoRR
With Large Language Models (LLMs) being widely used across various tasks, detecting errors in their responses is increasingly crucial. However, little research has been conducted on error detection of LLM responses. Collecting error annotations on LLM responses is challenging due to the subjective nature of many NLP tasks, and thus previous research ...
Ryo Kamoi   +14 more
openaire   +2 more sources

Generative AI‐Driven Accelerated Discovery of Passivation Molecules for Perovskite Solar Cells

open access: yesAdvanced Science, EarlyView.
A generative artificial intelligence (AI) framework combining a discriminative machine learning model (SMILES‐X) and a generative language model (GPT‐2) autonomously discovers new molecular passivators for perovskite solar cells (PSCs). Through an iterative design loop, over 100 000 candidates are generated and screened, and randomly selected molecules
Adroit T. N. Fajar   +7 more
wiley   +1 more source

Large Language Models: А Socio-Philosophical Essay

open access: yesГалактика медиа: журнал медиа исследований
Neural networks have filled the information space. On the one hand, this indicates the scientific and technological movement of contemporary society (perhaps, AGI is already waiting for us outside the door). On the other hand, in everyday discourse there
Regina V. Penner
doaj   +1 more source

LLM-Supported Manufacturing Mapping Generation [PDF]

open access: yesTransactions on Graph Data and Knowledge
In large manufacturing companies, such as Bosch, that operate thousands of production lines with each comprising up to dozens of production machines and other equipment, even simple inventory questions such as of location and quantities of a particular ...
Schmidt, Wilma Johanna   +3 more
doaj   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

Un romanzo ‘a due cervelli’: intelligenza artificiale e ironia in Non siamo mai stati sulla Terra di Rocco Tanica

open access: yesDive-In
This paper analyses the latest novel by Rocco Tanica, Non siamo mai stati sulla Terra, published by il Saggiatore in 2022, the first Italian novel to be written in collaboration with AI.
Maira Martini
doaj   +1 more source

Strada-LLM: Graph LLM for traffic prediction

open access: yesCoRR
Traffic forecasting is pivotal for intelligent transportation systems, where accurate and interpretable predictions can significantly enhance operational efficiency and safety. A key challenge stems from the heterogeneity of traffic conditions across diverse locations, leading to highly varied traffic data distributions.
Moghadas, Seyed Mohamad   +3 more
openaire   +2 more sources

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