John X. Morris

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 25

Top Topics

Dirichlet Prior

Natural Language

Top Venues

BlackboxNLP@EMNLP

EMNLP (Findings)

Publications

Zach Nussbaum, John X. Morris, Brandon Duderstadt, Andriy Mulyar
Nomic Embed: Training a Reproducible Long Context Text Embedder. CoRR (2024)
John X. Morris, Wenting Zhao, Justin T. Chiu, Vitaly Shmatikov, Alexander M. Rush
Language Model Inversion. ICLR (2024)
Vinamra Benara, Chandan Singh, John X. Morris, Richard Antonello, Ion Stoica, Alexander G. Huth, Jianfeng Gao
Crafting Interpretable Embeddings by Asking LLMs Questions. CoRR (2024)
Tingwei Zhang, Collin Zhang, John X. Morris, Eugene Bagdasaryan, Vitaly Shmatikov
Soft Prompts Go Hard: Steering Visual Language Models with Hidden Meta-Instructions. CoRR (2024)
Wilson Wu, John X. Morris, Lionel Levine
Do language models plan ahead for future tokens? CoRR (2024)
Jinyan Su, John X. Morris, Preslav Nakov, Claire Cardie
Corpus Poisoning via Approximate Greedy Gradient Descent. CoRR (2024)
Collin Zhang, John X. Morris, Vitaly Shmatikov
Extracting Prompts by Inverting LLM Outputs. CoRR (2024)
John X. Morris, Wenting Zhao, Justin T. Chiu, Vitaly Shmatikov, Alexander M. Rush
Language Model Inversion. CoRR (2023)
Chandan Singh, John X. Morris, Jyoti Aneja, Alexander M. Rush, Jianfeng Gao
Explaining Data Patterns in Natural Language with Language Models. BlackboxNLP@EMNLP (2023)
John X. Morris, Volodymyr Kuleshov, Vitaly Shmatikov, Alexander M. Rush
Text Embeddings Reveal (Almost) As Much As Text. CoRR (2023)
John X. Morris, Chandan Singh, Alexander M. Rush, Jianfeng Gao, Yuntian Deng
Tree Prompting: Efficient Task Adaptation without Fine-Tuning. CoRR (2023)
Chandan Singh, John X. Morris, Alexander M. Rush, Jianfeng Gao, Yuntian Deng
Tree Prompting: Efficient Task Adaptation without Fine-Tuning. EMNLP (2023)
John X. Morris, Volodymyr Kuleshov, Vitaly Shmatikov, Alexander M. Rush
Text Embeddings Reveal (Almost) As Much As Text. EMNLP (2023)
John X. Morris, Justin T. Chiu, Ramin Zabih, Alexander M. Rush
Unsupervised Text Deidentification. EMNLP (Findings) (2022)
John X. Morris, Justin T. Chiu, Ramin Zabih, Alexander M. Rush
Unsupervised Text Deidentification. CoRR (2022)
Chandan Singh, John X. Morris, Jyoti Aneja, Alexander M. Rush, Jianfeng Gao
Explaining Patterns in Data with Language Models via Interpretable Autoprompting. CoRR (2022)
John X. Morris, Eli Lifland, Jack Lanchantin, Yangfeng Ji, Yanjun Qi
Reevaluating Adversarial Examples in Natural Language. CoRR (2020)
John X. Morris
Second-Order NLP Adversarial Examples. CoRR (2020)
John X. Morris, Eli Lifland, Jin Yong Yoo, Yanjun Qi
TextAttack: A Framework for Adversarial Attacks in Natural Language Processing. CoRR (2020)
Jin Yong Yoo, John X. Morris, Eli Lifland, Yanjun Qi
Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples. CoRR (2020)
John X. Morris, Eli Lifland, Jin Yong Yoo, Jake Grigsby, Di Jin, Yanjun Qi
TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP. EMNLP (Demos) (2020)
John X. Morris, Jin Yong Yoo, Yanjun Qi
TextAttack: Lessons learned in designing Python frameworks for NLP. CoRR (2020)
Jin Yong Yoo, John X. Morris, Eli Lifland, Yanjun Qi
Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples. BlackboxNLP@EMNLP (2020)
John X. Morris, Eli Lifland, Jack Lanchantin, Yangfeng Ji, Yanjun Qi
Reevaluating Adversarial Examples in Natural Language. EMNLP (Findings) (2020)
John X. Morris
Second-Order NLP Adversarial Examples. BlackboxNLP@EMNLP (2020)