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Found 8 papers, 4 papers with code
Fake news detection for the Russian language
In this paper, we trained and compared different models for fake news detection in Russian.
NLLG Quarterly arXiv Report 09/23: What are the most influential current AI Papers?
Artificial Intelligence (AI) has witnessed rapid growth, especially in the subfields Natural Language Processing (NLP), Machine Learning (ML) and Computer Vision (CV).
NLLG Quarterly arXiv Report 06/23: What are the most influential current AI Papers?
In particular, we compile a list of the 40 most popular papers based on normalized citation counts from the first half of 2023.
ChatGPT: A Meta-Analysis after 2.5 Months
ChatGPT, a chatbot developed by OpenAI, has gained widespread popularity and media attention since its release in November 2022.
EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation Metrics
In this work, we provide a comprehensive evaluation of efficiency for MT evaluation metrics.
Towards Computationally Feasible Deep Active Learning
Active learning (AL) is a prominent technique for reducing the annotation effort required for training machine learning models.
Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates
Annotating training data for sequence tagging of texts is usually very time-consuming.
Semantic Role Labeling with Pretrained Language Models for Known and Unknown Predicates
We build the first full pipeline for semantic role labelling of Russian texts.
