AI 检索
AI 阅读
analysis
趋势分析
编组
开放平台
more
更多
排名必读论文期刊顶会热点AI 简史溯源树小脉星探人才迁徙塔尖人才国防情报追踪开源工具智慧手语
VIPCreated with Sketch.
研究兴趣

论文共 22 篇作者统计合作学者相似作者

按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Sematic Tasks
Viktor Moskvoretskii, Ekaterina Neminova, Alina Lobanova,Alexander Panchenko,Irina Nikishina
arxiv（2024）
引用0浏览0引用
0
0
MERA: A Comprehensive LLM Evaluation in Russian
Alena Fenogenova, Artem Chervyakov, Nikita Martynov, Anastasia Kozlova,Maria Tikhonova, Albina Akhmetgareeva, Anton Emelyanov, Denis Shevelev, Pavel Lebedev, Leonid Sinev, Ulyana Isaeva, Katerina Kolomeytseva,
CoRR (2024)
引用0浏览0EI引用
0
0
Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification
Janek Bevendorff, Xavier Bonet Casals,Berta Chulvi,Daryna Dementieva, Ashaf Elnagar, Dayne Freitag, Maik Fröbe, Damir Korenčić,Maximilian Mayerl, Animesh Mukherjee,Alexander Panchenko,Martin Potthast,
Lecture Notes in Computer Science Advances in Information Retrievalpp.3-10, (2024)
引用0浏览0引用
0
0
Leveraging Taxonomic Information from Large Language Models for Hyponymy Prediction
Polina Chernomorchenko,Alexander Panchenko,Irina Nikishina
International Joint Conference on the Analysis of Images, Social Networks and Textspp.49-63, (2023)
引用0浏览0EI引用
0
0
Predicting Terms in IS-A Relations with Pre-trained Transformers
Irina Nikishina, Polina Chernomorchenko, Anastasiia Demidova,Alexander Panchenko,Chris Biemann
IJCNLP (Findings)pp.134-148, (2023)
引用0浏览0EI引用
0
0
A Computational Study of Matrix Decomposition Methods for Compression of Pre-trained Transformers
Sergey Pletenev,Viktoria Chekalina,Daniil Moskovskiy, Mikhail Seleznev, Sergey Zagoruyko,Alexander Panchenko
Pacific Asia Conference on Language, Information and Computationpp.723-742, (2023)
引用0浏览0EI引用
0
0
加载更多
作者统计
  • 合作者
  • 学生
  • 导师
暂无相似学者，你可以通过学者研究领域进行搜索筛选
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果，我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问，可以通过电子邮件方式联系我们：report@aminer.cn