Ashkan Kazemi

According to our database, Ashkan Kazemi authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

SynDy: Synthetic Dynamic Dataset Generation Framework for Misinformation Tasks.

Michael Shliselberg, Ashkan Kazemi, Scott A. Hale, Shiri Dori-Hacohen

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Has It All Been Solved? Open NLP Research Questions Not Solved by Large Language Models.

Oana Ignat, Zhijing Jin, Artem Abzaliev, Laura Biester, Santiago Castro, Naihao Deng, Xinyi Gao, Aylin Gunal, Jacky He, Ashkan Kazemi, Muhammad Khalifa, Namho Koh, Andrew Lee, Siyang Liu, Do June Min, Shinka Mori, Joan Nwatu, Verónica Pérez-Rosas, Siqi Shen, Zekun Wang, Winston Wu, Rada Mihalcea

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Misinformation as Information Pollution.

Ashkan Kazemi, Rada Mihalcea

CoRR, 2023

A PhD Student's Perspective on Research in NLP in the Era of Very Large Language Models.

Oana Ignat, Zhijing Jin, Artem Abzaliev, Laura Biester, Santiago Castro, Naihao Deng, Xinyi Gao, Aylin Gunal, Jacky He, Ashkan Kazemi, Muhammad Khalifa, Namho Koh, Andrew Lee, Siyang Liu, Do June Min, Shinka Mori, Joan Nwatu, Verónica Pérez-Rosas, Siqi Shen, Zekun Wang, Winston Wu, Rada Mihalcea

CoRR, 2023

Query Rewriting for Effective Misinformation Discovery.

Ashkan Kazemi, Artem Abzaliev, Naihao Deng, Rui Hou, Scott A. Hale, Verónica Pérez-Rosas, Rada Mihalcea

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Text-Based Games as a Challenging Benchmark for Large Language Models.

Qinyue Tan, Ashkan Kazemi, Rada Mihalcea

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022

Adaptable Claim Rewriting with Offline Reinforcement Learning for Effective Misinformation Discovery.

Ashkan Kazemi, Artem Abzaliev, Naihao Deng, Rui Hou, Davis Liang, Scott A. Hale, Verónica Pérez-Rosas, Rada Mihalcea

CoRR, 2022

Analyzing the Effects of Annotator Gender across NLP Tasks.

Laura Biester, Vanita Sharma, Ashkan Kazemi, Naihao Deng, Steven R. Wilson, Rada Mihalcea

Proceedings of the 1st Workshop on Perspectivist Approaches to NLPerspectives@LREC 2022, 2022

Matching Tweets with Applicable Fact-Checks Across Languages.

Ashkan Kazemi, Zehua Li, Verónica Pérez-Rosas, Scott A. Hale, Rada Mihalcea

Proceedings of the Workshop on Multi-Modal Fake News and Hate-Speech Detection (DE-FACTIFY 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence ( AAAI 2022), 2022

2021

Tiplines to Combat Misinformation on Encrypted Platforms: A Case Study of the 2019 Indian Election on WhatsApp.

Ashkan Kazemi, Kiran Garimella, Gautam Kishore Shahi, Devin Gaffney, Scott A. Hale

CoRR, 2021

Extractive and Abstractive Explanations for Fact-Checking and Evaluation of News.

Ashkan Kazemi, Zehua Li, Verónica Pérez-Rosas, Rada Mihalcea

CoRR, 2021

Claim Matching Beyond English to Scale Global Fact-Checking.

Ashkan Kazemi, Kiran Garimella, Devin Gaffney, Scott Hale

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Biased TextRank: Unsupervised Graph-Based Content Extraction.

Ashkan Kazemi, Verónica Pérez-Rosas, Rada Mihalcea

Proceedings of the 28th International Conference on Computational Linguistics, 2020