Eugene Jang

Orcid: 0000-0003-0650-6822

According to our database1, Eugene Jang authored at least 11 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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On csauthors.net:

Bibliography

2024
Tweezers: A Framework for Security Event Detection via Event Attribution-centric Tweet Embedding.
CoRR, 2024

DRAINCLoG: Detecting Rogue Accounts with Illegally-obtained NFTs using Classifiers Learned on Graphs.
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

Ignore Me But Don't Replace Me: Utilizing Non-Linguistic Elements for Pretraining on the Cybersecurity Domain.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

2023
Measuring Online Emotional Reactions to Offline Events.
CoRR, 2023

Measuring Online Emotional Reactions to Events.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

DarkBERT: A Language Model for the Dark Side of the Internet.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Towards WinoQueer: Developing a Benchmark for Anti-Queer Bias in Large Language Models.
CoRR, 2022

Shedding New Light on the Language of the Dark Web.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021
Optimizing Domain Specificity of Transformer-based Language Models for Extractive Summarization of Financial News Articles in Korean.
Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, 2021

Generating Negative Samples by Manipulating Golden Responses for Unsupervised Learning of a Response Evaluation Model.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021


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