Results 121 to 130 of about 16,605,417 (300)
FEBS Open Bio, EarlyView.This pilot study investigates the potential of Generative AI to provide formative feedback to students. ChatGPT was prompted to provide feedback on Year 1 Bioscience essays, which were evaluated against established good feedback practices. GenAI‐authored feedback had useful elements, but was limited in scope. GenAI may have potential to provide instant,
Annabel Court +3 more
wiley +1 more source
Assessing the Relational Abilities of Large Language Models and Large Reasoning Models
Behavioral SciencesWe assessed the relational abilities of two state-of-the-art large language models (LLMs) and two large reasoning models (LRMs) using a new battery of several thousand syllogistic problems, similar to those used in behavior-analytic tasks for relational ...
Matthias Raemaekers +2 more
doaj +1 more source
FEBS Open Bio, EarlyView.Student engagement extends beyond simple attendance. Across 891 bioscience students from three universities, attendance behaviour was associated mainly with structural influences, whereas classroom spatial behaviour reflected affective and sensory factors.
Nigel Page +4 more
wiley +1 more source
Personalized Large Language Models
2024 IEEE International Conference on Data Mining Workshops (ICDMW)Large language models (LLMs) have significantly advanced Natural Language Processing (NLP) tasks in recent years. However, their universal nature poses limitations in scenarios requiring personalized responses, such as recommendation systems and chatbots. This paper investigates methods to personalize LLMs, comparing fine-tuning and zero-shot reasoning
Stanislaw Wozniak +4 more
openaire +3 more sources
Manner implicatures in large language models
Scientific ReportsIn human speakers’ daily conversations, what we do not say matters. We not only compute the literal semantics but also go beyond and draw inferences from what we could have said but chose not to.
Yan Cong
doaj +1 more source
Prompt Optimization in Large Language Models
MathematicsPrompt optimization is a crucial task for improving the performance of large language models for downstream tasks. In this paper, a prompt is a sequence of n-grams selected from a vocabulary.
Antonio Sabbatella +4 more
doaj +1 more source
A nationwide student survey on biochemistry learning resources in Italy
FEBS Open Bio, EarlyView.We conducted a survey among Italian university students to investigate their preferred study materials for biochemistry. We then analyzed the collected data to identify these materials. This information may be valuable to the Biochemistry educational community. The graphical abstract was created with Claude (Opus 5.5; Anthropic, 2026).
Anna Marabotti +4 more
wiley +1 more source
FEBS Open Bio, EarlyView.Life‐science educators from 14 countries redesigned their own course materials with generative AI in a three‐session, pedagogy‐first FEBS Education and Training Academy workshop built on PICRAT. Among 12 matched respondents, four more reported high confidence in each of five practical domains, and 10 of 13 reported implementing at least one idea ...
Zvonimir Mlinarić, Ali Burak Özkaya
wiley +1 more source
Hyperbolic Large Language Models
CoRRLarge language models (LLMs) have achieved remarkable success and demonstrated superior performance across various tasks, including natural language processing (NLP), weather forecasting, biological protein folding, text generation, and solving mathematical problems. However, many real-world data exhibit highly non-Euclidean latent hierarchical anatomy,
Sarang Patil +4 more
openaire +2 more sources