Detectllm: Leveraging log rank information for zero-shot detection of machine-generated text J Su, TY Zhuo, D Wang, P Nakov arXiv preprint arXiv:2306.05540, 2023 | 116* | 2023 |
M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection Y Wang, J Mansurov, P Ivanov, J Su, A Shelmanov, A Tsvigun, ... arXiv preprint arXiv:2305.14902, 2023 | 115 | 2023 |
Semeval-2024 task 8: Multidomain, multimodel and multilingual machine-generated text detection Y Wang, J Mansurov, P Ivanov, J Su, A Shelmanov, A Tsvigun, OM Afzal, ... arXiv preprint arXiv:2404.14183, 2024 | 64 | 2024 |
Entropy measure for orderable sets J Su, Y Deng Information Sciences 561, 141-151, 2021 | 51* | 2021 |
M4gt-bench: Evaluation benchmark for black-box machine-generated text detection Y Wang, J Mansurov, P Ivanov, J Su, A Shelmanov, A Tsvigun, OM Afzal, ... arXiv preprint arXiv:2402.11175, 2024 | 36 | 2024 |
Fake news detectors are biased against texts generated by large language models J Su, TY Zhuo, J Mansurov, D Wang, P Nakov arXiv preprint arXiv:2309.08674, 2023 | 26 | 2023 |
Adapting fake news detection to the era of large language models J Su, C Cardie, P Nakov arXiv preprint arXiv:2311.04917, 2023 | 21 | 2023 |
GenAI content detection task 1: English and multilingual machine-generated text detection: AI vs. human Y Wang, A Shelmanov, J Mansurov, A Tsvigun, V Mikhailov, R Xing, Z Xie, ... arXiv preprint arXiv:2501.11012, 2025 | 17 | 2025 |
Faster Rates of Private Stochastic Convex Optimization J Su, L Hu, D Wang International Conference on Algorithmic Learning Theory, 995-1002, 2022 | 16 | 2022 |
An interval method to measure the uncertainty of basic probability assignment J Su, Y Deng Soft Computing 26 (13), 6041-6050, 2022 | 5 | 2022 |
Faster rates of differentially private stochastic convex optimization J Su, L Hu, D Wang Journal of Machine Learning Research 25 (114), 1-41, 2024 | 4 | 2024 |
Differentially private stochastic convex optimization in (non)-Euclidean space revisited J Su, C Zhao, D Wang Uncertainty in Artificial Intelligence, 2026-2035, 2023 | 3 | 2023 |
Learning from streaming data when users choose J Su, S Dean arXiv preprint arXiv:2406.01481, 2024 | 2 | 2024 |
Leveraging large language models for structure learning in prompted weak supervision J Su, P Yu, J Zhang, SH Bach 2023 IEEE International Conference on Big Data (BigData), 875-884, 2023 | 2 | 2023 |
Towards More Robust Retrieval-Augmented Generation: Evaluating RAG Under Adversarial Poisoning Attacks J Su, JP Zhou, Z Zhang, P Nakov, C Cardie arXiv preprint arXiv:2412.16708, 2024 | 1 | 2024 |
On pac learning halfspaces in non-interactive local privacy model with public unlabeled data J Su, J Xu, D Wang Asian Conference on Machine Learning, 927-941, 2023 | 1 | 2023 |
Fast or Better? Balancing Accuracy and Cost in Retrieval-Augmented Generation with Flexible User Control J Su, J Healey, P Nakov, C Cardie arXiv preprint arXiv:2502.12145, 2025 | | 2025 |
Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI Y Wang, R Xing, J Mansurov, G Puccetti, Z Xie, MN Ta, J Geng, J Su, ... arXiv preprint arXiv:2502.11614, 2025 | | 2025 |
Corpus Poisoning via Approximate Greedy Gradient Descent J Su, P Nakov, C Cardie arXiv preprint arXiv:2406.05087, 2024 | | 2024 |
PAC learning halfspaces in non-interactive local differential privacy model with public unlabeled data J Su, J Xu, D Wang Journal of Computer and System Sciences 141, 103496, 2024 | | 2024 |