| Openattack: An open-source textual adversarial attack toolkit G Zeng, F Qi, Q Zhou, T Zhang, Z Ma, B Hou, Y Zang, Z Liu, M Sun arXiv preprint arXiv:2009.09191, 2020 | 138 | 2020 |
| A survey on data selection for language models A Albalak, Y Elazar, SM Xie, S Longpre, N Lambert, X Wang, ... arXiv preprint arXiv:2402.16827, 2024 | 86 | 2024 |
| PromptBoosting: Black-Box Text Classification with Ten Forward Passes B Hou, J O'Connor, J Andreas, S Chang, Y Zhang ICML 2023, 2022 | 50 | 2022 |
| Defending large language models against jailbreak attacks via semantic smoothing J Ji, B Hou, A Robey, GJ Pappas, H Hassani, Y Zhang, E Wong, S Chang arXiv preprint arXiv:2402.16192, 2024 | 41 | 2024 |
| Decomposing uncertainty for large language models through input clarification ensembling B Hou, Y Liu, K Qian, J Andreas, S Chang, Y Zhang arXiv preprint arXiv:2311.08718, 2023 | 33 | 2023 |
| Try to substitute: An unsupervised chinese word sense disambiguation method based on hownet B Hou, F Qi, Y Zang, X Zhang, Z Liu, M Sun Proceedings of the 28th international conference on computational …, 2020 | 28 | 2020 |
| Improving diffusion models for scene text editing with dual encoders J Ji, G Zhang, Z Wang, B Hou, Z Zhang, B Price, S Chang arXiv preprint arXiv:2304.05568, 2023 | 25 | 2023 |
| Textgrad: Advancing robustness evaluation in nlp by gradient-driven optimization B Hou, J Jia, Y Zhang, G Zhang, Y Zhang, S Liu, S Chang arXiv preprint arXiv:2212.09254, 2022 | 21 | 2022 |
| Certified robustness for large language models with self-denoising Z Zhang, G Zhang, B Hou, W Fan, Q Li, S Liu, Y Zhang, S Chang arXiv preprint arXiv:2307.07171, 2023 | 20 | 2023 |
| Learning to attack: Towards textual adversarial attacking in real-world situations Y Zang, B Hou, F Qi, Z Liu, X Meng, M Sun arXiv preprint arXiv:2009.09192, 2020 | 14 | 2020 |
| A survey on data selection for language models, 2024 A Albalak, Y Elazar, SM Xie, S Longpre, N Lambert, X Wang, ... URL https://arxiv. org/abs/2402.16827, 2022 | 7 | 2022 |
| Advancing the robustness of large language models through self-denoised smoothing J Ji, B Hou, Z Zhang, G Zhang, W Fan, Q Li, Y Zhang, G Liu, S Liu, ... arXiv preprint arXiv:2404.12274, 2024 | 5 | 2024 |
| A probabilistic framework for llm hallucination detection via belief tree propagation B Hou, Y Zhang, J Andreas, S Chang arXiv preprint arXiv:2406.06950, 2024 | 4 | 2024 |
| Instruction-Following Pruning for Large Language Models B Hou, Q Chen, J Wang, G Yin, C Wang, N Du, R Pang, S Chang, T Lei arXiv preprint arXiv:2501.02086, 2025 | | 2025 |
| ConDS: Context Distribution Shift for Robust In-Context Learning S Yu, S Ahn, S Liang, B Hou, J Ji, S Chang, J Zhou | | |