One Task Vector is not Enough: A Large-Scale Study for In-Context Learning [PDF]
In-context learning (ICL) enables Large Language Models (LLMs) to adapt to new tasks using few examples, with task vectors - specific hidden state activations - hypothesized to encode task information. Existing studies are limited by small-scale benchmarks, restricting comprehensive analysis. We introduce QuiteAFew, a novel dataset of 3,096 diverse few-
arxiv
Spectral Analysis of Information Density in Dialogue Predicts Collaborative Task Performance [PDF]
Yang Xu, David Reitter
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Brain volumes and dual-task performance correlates among individuals with cognitive impairment: a retrospective analysis [PDF]
Jason K. Longhurst+5 more
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Meta-Analysis of Social Presence Effects on Stroop Task Performance
In this paper, we conducted a meta-analytic review to examine the impact of social presence on individuals’ performance on the Stroop task, shedding light on the cognitive processes underlying social facilitation. We followed PRISMA guidelines to identify and include 33 relevant studies in a multivariate random-effects meta-analysis.
Teresa Garcia-Marques+1 more
openaire +3 more sources
Muscle fatigue and performance analysis during fundamental laparoscopic surgery tasks [PDF]
Michael M. Awad+2 more
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LogLM: From Task-based to Instruction-based Automated Log Analysis [PDF]
Automatic log analysis is essential for the efficient Operation and Maintenance (O&M) of software systems, providing critical insights into system behaviors. However, existing approaches mostly treat log analysis as training a model to perform an isolated task ( e.g., anomaly detection, log parsing, etc.) using task-specific log-label pairs. These task-
arxiv
Analysis of spoken grammar in the performance of English speaking test tasks.
ShinDongil, 박진아, 강석주
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Evaluating the performance of sentence level features and domain sensitive features of product reviews on supervised sentiment analysis tasks [PDF]
Bagus Setya Rintyarna+2 more
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