Large Language Models (LLMs) have shown they can adapt to target tasks during inference by a process known as few-shot demonstrations, sometimes known as in-context learning. This capability has ...
Guiding pre-service teachers’ visual attention through instructional settings: an eye-tracking study
As pre-service teachers have little practical experience and little professional knowledge, their professional vision differs from experienced in-service teachers. This is why we talk about visual ...
Department of Computer Science, Colorado School of Mines, Golden, CO, United States Introduction: When collaborative robots teach human teammates new tasks, they must carefully determine the order to ...
This repository contains the code and pre-trained models for our paper One Embedder, Any Task: Instruction-Finetuned Text Embeddings. Please refer to our project page for a quick project overview. We ...
Abstract: This research investigates applying Augmented Reality (AR) visualisation of spatial cues in first-person view task instruction videos. Instructional videos are becoming popular, and are not ...
The Third Ukrainian NLP workshop (UNLP 2024) organizes the first Shared Task on Fine-Tuning Large Language Models (LLMs) for Ukrainian. This Shared Task aims to challenge and assess LLMs' capabilities ...
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