Results 81 to 90 of about 55,072 (308)

Strada-LLM: Graph LLM for traffic prediction

CoRR
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, Cornelis, Bruno, Alahi, Alexandre, Munteanu, Adrian   +3 more
openaire   +2 more sources

Constituency Parsing using LLMs

, 2023
Constituency parsing is a fundamental yet unsolved natural language processing task. In this paper, we explore the potential of recent large language models (LLMs) that have exhibited remarkable performance across various domains and tasks to tackle this
Bai, Xuefeng, Wang, Zhongqing, Zhang, Yue, Wu, Jialong, Chen, Yulong   +4 more
core  

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

Advanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

Foregrounding doctoral knowledge and knower in the age of Generative Artificial Intelligence

Transformation in Higher Education
While Generative Artificial Intelligence (AI) presents new challenges for doctoral education, it also offers an opportunity to refocus doctoral programmes on their fundamental purposes: contributing to knowledge and developing critical researchers.
Sioux McKenna
doaj   +1 more source

Security in Machine Learning: Exposing LLM Vulnerabilities through Poisoned Vector Databases in RAG-based System [PDF]

openThis thesis investigates the vulnerabilities of Large Language Models (LLMs) when integrated with Retrieval-Augmented Generation (RAG) systems. We particularly focus on the risks posed by malicious data poisoning. RAG systems are increasingly used to
DARYABAR, NIMA
core  

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

Advanced Science, EarlyView.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi, Minying Low, Peng Xiu, Kresten Lindorff‐Larsen, Yong Wang   +4 more
wiley   +1 more source

Conversational Interest between Teachers and Second Language Learners Evaluated by Humans and LLMs

Stimulating language learners’ interest and engagement is essential to successful second language acquisition, but it can be hard to translate this intuition into effective learning resources.
Xingewi Tan, Mahathi Parvatham, Gabriele Pergola, Chiara Gambi   +3 more
core   +1 more source

Digital Friends and Empathy Blindness

Open Philosophy
Can chatbot-based virtual relationships replace physical ones? One possible bottleneck is lack of empathy in chatbots, as well as the attraction of physical relationships.
Bangsgaard Alberte Romme, Kløve Ryelund Cecilia, Lind Nilsson Mathilde Marie, Søgaard Anders   +3 more
doaj   +1 more source

Programming Assessment in E-Learning through Rule-Based Automatic Question Generation with Large Language Models

Journal of Applied Informatics and Computing
This study develops an evaluation instrument for Python programming using a Rule-Based Automatic Question Generation (AQG) system integrated with Large Language Models (LLMs), designed based on the Revised Bloom’s Taxonomy.
Halim Teguh Saputro, Usman Nurhasan, Vivi Nur Wijayaningrum   +2 more
doaj   +1 more source