19 citations · 34 across the 7 of their papers we have counts for
9 papers
PingPong: A Benchmark for Role-Playing Language Models with User Emulation and Multi-Model Evaluation
Ilya Gusev
We introduce a benchmark for evaluating the role-playing capabilities of language models. Our approach leverages different language models to simulate users in dynamic, multi-turn…
Don't lose the message while paraphrasing: A study on content preserving style transfer
Nikolay Babakov, David Dale, Ilya Gusev +2
Text style transfer techniques are gaining popularity in natural language processing allowing paraphrasing text in the required form: from toxic to neural, from formal to informal,…
Russian Texts Detoxification with Levenshtein Editing
Ilya Gusev
Text detoxification is a style transfer task of creating neutral versions of toxic texts. In this paper, we use the concept of text editing to build a two-step tagging-based detoxi…
HeadlineCause: A Dataset of News Headlines for Detecting Causalities
Ilya Gusev, Alexey Tikhonov
Detecting implicit causal relations in texts is a task that requires both common sense and world knowledge. Existing datasets are focused either on commonsense causal reasoning or…
Russian News Clustering and Headline Selection Shared Task
Ilya Gusev, Ivan Smurov
This paper presents the results of the Russian News Clustering and Headline Selection shared task. As a part of it, we propose the tasks of Russian news event detection, headline s…
Advances of Transformer-Based Models for News Headline Generation
Alexey Bukhtiyarov, Ilya Gusev
Pretrained language models based on Transformer architecture are the reason for recent breakthroughs in many areas of NLP, including sentiment analysis, question answering, named e…
Dataset for Automatic Summarization of Russian News
Ilya Gusev
Automatic text summarization has been studied in a variety of domains and languages. However, this does not hold for the Russian language. To overcome this issue, we present Gazeta…
Importance of Copying Mechanism for News Headline Generation
Ilya Gusev
News headline generation is an essential problem of text summarization because it is constrained, well-defined, and is still hard to solve. Models with a limited vocabulary can not…
Improving part-of-speech tagging via multi-task learning and character-level word representations
Daniil Anastasyev, Ilya Gusev, Eugene Indenbom
In this paper, we explore the ways to improve POS-tagging using various types of auxiliary losses and different word representations. As a baseline, we utilized a BiLSTM tagger, wh…