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John X. Morris
John X. Morris
Verified email at cornell.edu - Homepage
Title
Cited by
Cited by
Year
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
6152020
Reevaluating Adversarial Examples in Natural Language
JX Morris, E Lifland, J Lanchantin, Y Ji, Y Qi
EMNLP 2020 (Findings), 2019
1062019
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
432020
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
242022
Text Embeddings Reveal (Almost) As Much As Text
JX Morris, V Kuleshov, V Shmatikov, AM Rush
EMNLP 2023, 2023
182023
Language Model Inversion
JX Morris, W Zhao, JT Chiu, V Shmatikov, AM Rush
ICLR 2024, 2023
102023
Tree prompting: efficient task adaptation without fine-tuning
JX Morris, C Singh, AM Rush, J Gao, Y Deng
EMNLP 2023, 2023
8*2023
TextAttack: Lessons learned in designing Python frameworks for NLP
JX Morris, JY Yoo, Y Qi
NLP-OSS Workshop at EMNLP 2020, 2020
72020
Second-order nlp adversarial examples
JX Morris
BlackboxNLP Workshop at EMNLP 2020, 2020
62020
Unsupervised Text Deidentification
JX Morris, JT Chiu, R Zabih, AM Rush
EMNLP 2022 (Findings), 2022
52022
Nomic Embed: Training a Reproducible Long Context Text Embedder
Z Nussbaum, JX Morris, B Duderstadt, A Mulyar
arXiv preprint arXiv:2402.01613, 2024
12024
Do language models plan ahead for future tokens?
W Wu, JX Morris, L Levine
arXiv preprint arXiv:2404.00859, 2024
2024
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Articles 1–12