Zobrazeno 1 - 10
of 285
pro vyhledávání: '"Smirnov, Ivan P"'
This paper compares the effectiveness of traditional machine learning methods, encoder-based models, and large language models (LLMs) on the task of detecting depression and anxiety. Five datasets were considered, each differing in format and the met
Externí odkaz:
http://arxiv.org/abs/2410.07129
We propose selective debiasing -- an inference-time safety mechanism that aims to increase the overall quality of models in terms of prediction performance and fairness in the situation when re-training a model is prohibitive. The method is inspired
Externí odkaz:
http://arxiv.org/abs/2407.19345
Autor:
Smirnov, Ivan
Identity is one of the most commonly studied constructs in social science. However, despite extensive theoretical work on identity, there remains a need for additional empirical data to validate and refine existing theories. This paper introduces a n
Externí odkaz:
http://arxiv.org/abs/2407.00340
Grammatical error correction is one of the fundamental tasks in Natural Language Processing. For the Russian language, most of the spellcheckers available correct typos and other simple errors with high accuracy, but often fail when faced with non-na
Externí odkaz:
http://arxiv.org/abs/2307.01609
Autor:
Chistova, Elena, Smirnov, Ivan
Publikováno v:
Proceedings of the International Conference Dialogue 2023, 34-41
Coreference resolution is the task of identifying and grouping mentions referring to the same real-world entity. Previous neural models have mainly focused on learning span representations and pairwise scores for coreference decisions. However, curre
Externí odkaz:
http://arxiv.org/abs/2306.01465
Wikipedia is one of the most successful collaborative projects in history. It is the largest encyclopedia ever created, with millions of users worldwide relying on it as the first source of information as well as for fact-checking and in-depth resear
Externí odkaz:
http://arxiv.org/abs/2304.13568
Autor:
LIU Shuyu, MIAO Yanchun, LI Minghou, LI Beibei, SELYUTINA Nina, SMIRNOV Ivan, LIU Yuanzhen, ZHANG Yu
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 55, Iss 5, Pp 892-904 (2024)
Purposes The internally porous and highly thermally stable glazed hollow beads (GHB) can reduce the high temperature damage and deterioration of concrete to a certain extent, and improve the fire resistance of concrete. In order to further clarify th
Externí odkaz:
https://doaj.org/article/2112bc75e5d94e188a5371c515eb2696
In this paper, we engage with and expand on the keynote talk about the Right to Audit given by Prof. Christian Sandvig at the IC2S2 2021 through a critical reflection on power asymmetries in the algorithm auditing field. We elaborate on the challenge
Externí odkaz:
http://arxiv.org/abs/2302.08301
Autor:
Smirnov, Ivan
The research reveals the existence of a constant characteristic time of preparatory micro-structural processes before the onset of macro-failure at various high loading rates of brittle and quasi-brittle materials. The presence of this characteristic
Externí odkaz:
http://arxiv.org/abs/2301.08313
As social interactions are increasingly taking place in the digital environment, online friendship and its effects on various life outcomes from health to happiness attract growing research attention. In most studies, online ties are treated as repre
Externí odkaz:
http://arxiv.org/abs/2111.15070