Computational models of memory have achieved considerable success by formalizing how traces are encoded, cued, and retrieved. However, the role that individual linguistic experience plays in shaping representational structure has been relatively understudied. Where the issue has been examined, most models assume that a...
Dominic Guitard, Randall K. Jamieson, Jean Saint-Aubin et al.· Journal of Memory and Langua...· 0 citations
This work introduces AspectBench, a new benchmark dataset for document-level ABSA, comprising real-world online news articles in Slovenian and Serbo-Croatian, designed to test generalization to unseen aspects, and offers practical insights into the trade-offs between model complexity, data characteristics, and the deve...
Nishan Chatterjee, B. Koloski, Antoine Doucet et al.· Frontiers in Artificial Inte...· 0 citations
Abstract Accurate meteorological forecasting is fundamental to public safety and economic stability, but it heavily relies on numerical weather prediction (NWP) models, whose complex outputs are often inaccessible to non-experts. Although large language models (LLMs) show potential in translating structured data into n...
Lin Zhang, Yunzi Hua, Yuanming Zhao et al.· Scientific Data· 0 citations
Abstract Purpose Despite the importance of peer review for grant funding decisions, academics are often reluctant to conduct it. This can lead to long delays between submission and the final decision as well as the risk of substandard reviews from busy or non-specialist scholars. At least one funder now uses Large Lang...
Ulf Sandström, Mike Thelwall· Journal of Data and Informat...· 1 citation
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Abstract Large Language Models (LLMs) have demonstrated remarkable capabilities in various reasoning tasks, which leads to the development of increasingly large models. However, scaling up model sizes results in significantly higher computational costs and energy consumption, which makes these models impractical for ac...
An argument that understanding is not a matter of holding the right information, but of building structure that costs something to be wrong about.A student can recite a definition perfectly, reproduce its derivations, and answer routine questions about it — and still be caught flat by a question that requires seeing wh...
This repository contains the supplementary materials and experimental data supporting the research article: "Sensor-Augmented Retrieval of System Dynamics Model Segments for Resource-Constrained Environments". The dataset is divided into two primary components: the source model environment (search space) and the raw ex...
Pavel Kyurkchiev· Zenodo (CERN European Organi...· 0 citations
This update is actually to the Paper explaining the dictionary itself. Just this paper, when given to larger publicly available models can be beneficial for many reasoning tasks. I've also included the Coinage document .. which is actually part of our Corpus for training models. The OLD:D183 dictionary Common meaning:A...
D. Rozon· Zenodo (CERN European Organi...· 0 citations
This dataset provides a benchmark resource for AI-rewritten Bengali text detection. It contains 4,008 labeled Bengali text samples, comprising 2,004 original human-written texts and 2,004 corresponding AI-rewritten texts. The human-written texts were collected from authentic Bengali sources, including National Curricul...
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
Microsoft Research Blog· microsoft.comOct 12, 2026
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026