Karpinska, Marzena
Microsoft (United States)
8 papers on CoChat
Most cited papers
- Verified
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense
Krishna, K., Song, Y., Karpinska, M., Wieting, J., & Iyyer, M. (2023) · arXiv
Authorship Attribution and ProfilingSpam and Phishing Detection
Cited by 150
- Verified · note
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense
Krishna, K., Song, Y., Karpinska, M., Wieting, J., & Iyyer, M. (2023) · Advances in Neural Information Processing Systems 36
Authorship Attribution and ProfilingSpam and Phishing Detection
Cited by 150
- Verified
The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation
Karpinska, M., Akoury, N., & Iyyer, M. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Topic ModelingNatural Language Processing Techniques
Cited by 56
- Verified
DEMETR: Diagnosing Evaluation Metrics for Translation
Karpinska, M., Raj, N., Thai, K., Song, Y., Gupta, A., & Iyyer, M. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Natural Language Processing TechniquesTopic Modeling
Cited by 22
- Verified
People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text
Russell, J., Karpinska, M., & Iyyer, M. (2025) · arXiv
Authorship Attribution and ProfilingMisinformation and Its Impacts
Cited by 19
- Verified
One Thousand and One Pairs: A “novel” challenge for long-context language models
Karpinska, M., Thai, K., Lo, K., Goyal, T., & Iyyer, M. (2024) · arXiv
Topic ModelingMultimodal Machine Learning Applications
Cited by 7
- Verified
FABLES: Evaluating faithfulness and content selection in book-length summarization
Kim, Y., Chang, Y., Karpinska, M., Garimella, A., Manjunatha, V., Lo, K., Goyal, T., & Iyyer, M. (2024) · arXiv
Topic ModelingAdvanced Text Analysis Techniques
Cited by 4
- Verified
OverThink: Slowdown Attacks on Reasoning LLMs
Kumar, A., Roh, J., Naseh, A., Karpinska, M., Iyyer, M., Houmansadr, A., & Bagdasarian, E. (2025) · arXiv
Adversarial Robustness in Machine LearningTopic Modeling
Cited by 0
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