Results 91 to 100 of about 3,238,589 (240)

One Task Vector is not Enough: A Large-Scale Study for In-Context Learning [PDF]

open access: yesarXiv
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  

Brain volumes and dual-task performance correlates among individuals with cognitive impairment: a retrospective analysis [PDF]

open access: hybrid, 2020
Jason K. Longhurst   +5 more
openalex   +1 more source

Meta-Analysis of Social Presence Effects on Stroop Task Performance

open access: yesPsychological Reports
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

LogLM: From Task-based to Instruction-based Automated Log Analysis [PDF]

open access: yesarXiv
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  

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