large language models

Consistency of ChatGPT responses with the American Psychiatric Association guidelines in adolescent eating disorders: evaluation of quality, reliability, and readability

The increasing use of artificial intelligence systems in healthcare has raised concerns regarding the accuracy and reliability of information generated by large language models. This study aimed to evaluate the concordance of ChatGPT responses related to adolescent eating disorders with the American Psychiatric Associa...

Workers shift their views and pay more when AI chatbots pander to their values

Large language models (LLMs) are increasingly embedded in knowledge work, raising the question to what extent they can systematically influence their users’ decisions—a question with commercial as well as societal stakes. Across an exploratory study and two pre-registered experiments grounded in moral foundations the...

When is the bait worth the risk? A mechanistic model of a compensatory ecological trap in seabirds

Abstract Ecological traps occur when organisms preferentially select habitats that reduce fitness. In seabird–fishery systems, fishery‐derived trophic subsidies can increase foraging success, reinforce habitat preference and indirectly enhance reproductive output or recruitment, while bycatch simultaneously reduces sur...

Tell me what you read, and I will tell you what you remember: Evidence for personalized embeddings in memory modelling

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...

Evaluating fine-tuned, embedding-based, and zero-shot models for aspect-based sentiment analysis in South Slavic news

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...

Grid2Text Dataset Aligning Meteorological Grid Data with Expert Reasoning Chains

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...

Can Large Language Models Evaluate Grant Proposal Quality? Revisiting the Wennerås and Wold Peer Review Data

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...

What is the Role of Small Models in the LLM Era: A Survey

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...

Automatic prompt debiasing via contrastive reflection for fairness enhancement in large language models

VLDB S.I.: harnessing the power of foundation models for data management

Language of Stress Essay: Understanding as Structural Achievement

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...

Evaluation of MLLMs in statistical map understanding

Analysis code and processed data for the evaluation of twelve multimodal large language models in statistical map understanding.