Results 71 to 80 of about 81,815 (304)

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

Urban wage premia, cost of living, and collective bargaining [PDF]

, 2018
In this paper, we estimate the urban wage premia (UWP) in Italy, with its economy characterized by the interplay between collective bargaining and spatial heterogeneity in the cost of living.
Belloc, Marianna, Naticchioni, Paolo, Vittori, Claudia   +2 more
core  

User-LLM: Efficient LLM Contextualization with User Embeddings

Companion Proceedings of the ACM on Web Conference 2025
Large language models (LLMs) have achieved remarkable success across various domains, but effectively incorporating complex and potentially noisy user timeline data into LLMs remains a challenge. Current approaches often involve translating user timelines into text descriptions before feeding them to LLMs, which can be inefficient and may not fully ...
Lin Ning, Luyang Liu, Jiaxing Wu, Neo Wu, Devora Berlowitz, Sushant Prakash, Bradley Green, Shawn O'Banion, Jun Xie   +8 more
openaire   +2 more sources

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source

ChatGPT Relies More Heavily on Consonants Than on Vowels to Recognize Words

Journal of Cognition
Humans develop biases during language learning. For example, we rely more heavily on consonants than on vowels to identify words. Advances on artificial intelligence have allowed the development of proficient large language models that sometimes mimic ...
Juan Manuel Toro
doaj   +1 more source

Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain

Advanced Science, EarlyView.
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio, Tommaso Gili, Andrea Gabrielli, Maurizio Mattia   +3 more
wiley   +1 more source

Dynamics and collapse of local labour markets [PDF]

Sweden has a tripartial regional structure; with a small number of metropolitan regions comparable in size with those on the European Continent, numerous medium sized and small towns, and in addition vast sparsely populated areas.
Lars Olof Persson
core  

LLM Chemistry Estimation for Multi-LLM Recommendation

Multi-LLM collaboration promises accurate, robust, and context-aware solutions, yet existing approaches rely on implicit selection and output assessment without analyzing whether collaborating models truly complement or conflict. We introduce LLM Chemistry -- a framework that measures when LLM combinations exhibit synergistic or antagonistic behaviors ...
Sanchez, Huascar, Hitaj, Briland
openaire   +2 more sources

A Perspective on Interactive Theorem Provers in Physics

Advanced Science, EarlyView.
Into an interactive theorem provers (ITPs), one can write mathematical definitions, theorems and proofs, and the correctness of those results is automatically checked. This perspective goes over the best usage of ITPs within physics and motivates the open‐source community run project PhysLean, the aim of which is to be a library for digitalized physics
Joseph Tooby‐Smith
wiley   +1 more source

Retrieval-Augmented Generation vs. Baseline LLMs: A Multi-Metric Evaluation for Knowledge-Intensive Content

Information
(1) Background: The development of Generative Artificial Intelligence (GenAI) is transforming knowledge-intensive domains such as Education. However, Large Language Models (LLMs), which serve as the foundational components for GenAI tools, are trained on
Aparna Vinayan Kozhipuram, Samar Shailendra, Rajan Kadel   +2 more
doaj   +1 more source