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Výsledek výzkumu

Advancing Sentiment Analysis in Serbian Literature: A Zero and FewShot Learning Approach Using the Mistral Model

and few-shot learning techniques. The main approach innovates by devising research prompts that include guidance text for zero-shot classification and examples for few-shot learning, ena...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • D
  • Odkaz
Výsledek výzkumu

Decomposed Meta-Learning for Few-Shot Sequence Labeling

. To overcome these challenges, we propose a decomposed meta-learning framework for few-shot sequence labeling that breaks down the task into few-shot mention detection and few-shot type ...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • JSC
  • Odkaz
Výsledek výzkumu

Graph convolutional networks for learning with few clean and many noisy labels

of a few-shot learning problem, where the few clean examples of novel classes the noisy data, as well as standard few-shot classification where only few cleanIn this work we consider the...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2020
  • D
  • Odkaz
Výsledek výzkumu

Designing Informative Metrics for Few-Shot Example Selection

Pretrained language models (PLMs) have shown remarkable few-shot learning capabilities when provided with properly formatted examples. However, selecting the “best” examples remains an open challenge. We propose a complexit...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • D
  • Odkaz
Výsledek výzkumu

Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network

The MetaDL Challenge 2020 focused on image classification tasks in few-shot settings. This paper describes second best submission in the competition. Our meta learning approach modifies the distribution of classes in a late...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2021
  • D
  • Odkaz
Výsledek výzkumu

Can In-context Learners Learn a Reasoning Concept from Demonstrations?

few-shot learning method choosing the demonstrations that share an underlying that the commonly-used few-shot evaluation using a random selection of in-context demonstrations these concepts in few

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2023
  • D
Výsledek výzkumu

LAraBench: Benchmarking Arabic AI with Large Language Models

, BLOOMZ, Jais-13bchat, Whisper, and USM, employing zero and few-shot learning LLMs in zero-shot learning, with a few exceptions. Notably, larger computational models with few-shot

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • D
  • Odkaz
Výsledek výzkumu

Rethinking matching-based few-shot action recognition

Few-shot action recognition, i.e. recognizing new action classes given only a few examples, benefits from incorporating temporal information. Prior work either encodes such information in the representation itself and le...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2023
  • D
  • Odkaz
Výsledek výzkumu

Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning

framework even exceeds GPT-3.5 with few-shot learning by 24.3% in overall performance. © a Heterogeneous Graph Interaction Model with Multi-granularity Contrastive Transfer Learning (GIMC) for zero-shot c...

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2024
  • D
  • Odkaz
Výsledek výzkumu

Prompt-Based Approach for Czech Sentiment Analysis

zero-shot and few-shot learning experiments for sentiment classification and show domain can lead to significant improvements in a zero-shot scenario....

Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

  • 2023
  • D
  • Odkaz
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