Results 61 to 70 of about 89,825 (246)

How LLMs Might Think [PDF]

Do large language models (“LLMs”) think? Daniel Stoljar and Zhihe Vincent Zhang have recently developed an argument from rationality for the claim that LLMs do not think.
Gottlieb, Joseph, Kemp, Ethan, Trager, Matthew   +2 more
core   +3 more sources

Do LLMs act as repositories of causal knowledge?

Journal of Causal Inference
Large language models (LLMs) offer the potential to automate a large number of tasks that previously have not been possible to automate, including some in science.
Huntington-Klein Nick, Murray Eleanor J.
doaj   +1 more source

Artificial Intelligence in Software Testing and Beyond: A Review of Current Practices and Emerging Challenges

Acta Informatica Pragensia
Background: Artificial intelligence (AI) is increasingly used both to test software (T1) and to assure AI-based systems (T2), with adjacent software-engineering work that shapes testing practice (T3).
Codrina-Victoria Lisaru, Claudiu-Vasile Kifor   +1 more
doaj   +1 more source

Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction

Advanced Robotics Research, EarlyView.
Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith, Sunny Amatya, Seyed Yousef Soltanian, Jonathan Bush, Wenlong Zhang   +4 more
wiley   +1 more source

Self-Reflection Protects Behavior from Volatile Beliefs Linked to Paranoia

Computational Psychiatry
Processing uncertainty may be pathognomonic (characteristic of a disease) for some psychiatric conditions. Some people expect the world to change, even when it doesn’t.
Praveen Suthaharan, Santiago Castiello, Yuen-Siang Ang, Phil Corlett   +3 more
doaj   +1 more source

AUDITING OPEN-SOURCE LLMs FOR ACADEMIC AUTHOR SEARCH [PDF]

openThis Master’s thesis explores the effectiveness of state-of-the-art Large Language Mod- els (LLMs) in searching for scholars across various fields of physics.
BAROLO, DANIELE
core  

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   +3 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

Are We There Yet? Notes Towards Benchmarking an Experimental AI-Assisted Workflow for Humanities Data Cleaning and Reconciliation

Journal of Open Humanities Data
This paper introduces a novel AI-assisted pipeline developed to prepare data for the European Research Council-funded project “STEMMA: Systems of Transmitting Early Modern Manuscript Verse, 1475–1700.” Now approaching its midpoint, STEMMA develops and ...
Erin A. McCarthy
doaj   +1 more source

Large Language Models for Investigating Co-Occurrences in Multi-Domain Indoor Environmental Quality [PDF]

E3S Web of Conferences
. Building occupants are continuously exposed to multiple indoor environmental stimuli, including thermal, visual, acoustic, and indoor air quality (IAQ) related factors. Prior research typically examines these multiple stimuli separately.
Li Shundong, Ma Nan
doaj   +1 more source