| Textattack: A framework for adversarial attacks, data augmentation, and adversarial training in nlp JX Morris, E Lifland, JY Yoo, J Grigsby, D Jin, Y Qi System Demonstrations at EMNLP 2020, 2020 | 755 | 2020 |
| Reevaluating Adversarial Examples in Natural Language JX Morris, E Lifland, J Lanchantin, Y Ji, Y Qi EMNLP 2020 (Findings), 2019 | 117 | 2019 |
| Text Embeddings Reveal (Almost) As Much As Text JX Morris, V Kuleshov, V Shmatikov, AM Rush EMNLP 2023, 2023 | 52 | 2023 |
| Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples JY Yoo, JX Morris, E Lifland, Y Qi BlackboxNLP at EMNLP 2020, 2020 | 52 | 2020 |
| Explaining Patterns in Data with Language Models via Interpretable Autoprompting C Singh, JX Morris, J Aneja, AM Rush, J Gao BlackboxNLP Workshop at EMNLP 2023, 2022 | 32* | 2022 |
| Nomic Embed: Training a Reproducible Long Context Text Embedder Z Nussbaum, JX Morris, B Duderstadt, A Mulyar arXiv preprint arXiv:2402.01613, 2024 | 27 | 2024 |
| Language Model Inversion JX Morris, W Zhao, JT Chiu, V Shmatikov, AM Rush ICLR 2024, 2023 | 17 | 2023 |
| Tree prompting: efficient task adaptation without fine-tuning JX Morris, C Singh, AM Rush, J Gao, Y Deng EMNLP 2023, 2023 | 14* | 2023 |
| Unsupervised Text Deidentification JX Morris, JT Chiu, R Zabih, AM Rush EMNLP 2022 (Findings), 2022 | 7 | 2022 |
| TextAttack: Lessons learned in designing Python frameworks for NLP JX Morris, JY Yoo, Y Qi NLP-OSS Workshop at EMNLP 2020, 2020 | 7 | 2020 |
| Do language models plan for future tokens? W Wu, JX Morris, L Levine arXiv preprint arXiv:2404.00859, 2024 | 6 | 2024 |
| Second-order nlp adversarial examples JX Morris BlackboxNLP Workshop at EMNLP 2020, 2020 | 6 | 2020 |
| Extracting Prompts by Inverting LLM Outputs C Zhang, JX Morris, V Shmatikov arXiv preprint arXiv:2405.15012, 2024 | 3 | 2024 |
| Crafting Interpretable Embeddings by Asking LLMs Questions V Benara, C Singh, JX Morris, R Antonello, I Stoica, AG Huth, J Gao arXiv preprint arXiv:2405.16714, 2024 | 1 | 2024 |
| Corpus Poisoning via Approximate Greedy Gradient Descent J Su, JX Morris, P Nakov, C Cardie arXiv preprint arXiv:2406.05087, 2024 | | 2024 |
| Contextual Document Embeddings AMR John X. Morris arXiv preprint arXiv:2410.02525, 2024 | | 2024 |
Yanjun QiFaculty @UVa CS / PhD @CMU / DATA Scholar@ NIH/ Principal Applied Scientist @ AWSVerified email at virginia.edu
