2 citations · 3 across the 5 of their papers we have counts for
5 papers
CleanComedy: Creating Friendly Humor through Generative Techniques
Dmitry Vikhorev, Daria Galimzianova, Svetlana Gorovaia +2
Humor generation is a challenging task in natural language processing due to limited resources and the quality of existing datasets. Available humor language resources often suffer…
Toxicity of the Commons: Curating Open-Source Pre-Training Data
Catherine Arnett, Eliot Jones, Ivan P. Yamshchikov +1
Open-source large language models are becoming increasingly available and popular among researchers and practitioners. While significant progress has been made on open-weight model…
Vygotsky Distance: Measure for Benchmark Task Similarity
Maxim K. Surkov, Ivan P. Yamshchikov
Evaluation plays a significant role in modern natural language processing. Most modern NLP benchmarks consist of arbitrary sets of tasks that neither guarantee any generalization p…
Neural Machine Translation for Malayalam Paraphrase Generation
Christeena Varghese, Sergey Koshelev, Ivan P. Yamshchikov
This study explores four methods of generating paraphrases in Malayalam, utilizing resources available for English paraphrasing and pre-trained Neural Machine Translation (NMT) mod…
Post Turing: Mapping the landscape of LLM Evaluation
Alexey Tikhonov, Ivan P. Yamshchikov
In the rapidly evolving landscape of Large Language Models (LLMs), introduction of well-defined and standardized evaluation methodologies remains a crucial challenge. This paper tr…