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John X. Morris
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2020 – today
- 2024
- [c10]Collin Zhang, John X. Morris, Vitaly Shmatikov:
Extracting Prompts by Inverting LLM Outputs. EMNLP 2024: 14753-14777 - [c9]John X. Morris, Wenting Zhao, Justin T. Chiu, Vitaly Shmatikov, Alexander M. Rush:
Language Model Inversion. ICLR 2024 - [i17]Zach Nussbaum, John X. Morris, Brandon Duderstadt, Andriy Mulyar:
Nomic Embed: Training a Reproducible Long Context Text Embedder. CoRR abs/2402.01613 (2024) - [i16]Wilson Wu, John X. Morris, Lionel Levine
:
Do language models plan ahead for future tokens? CoRR abs/2404.00859 (2024) - [i15]Collin Zhang
Extracting Prompts by Inverting LLM Outputs. CoRR abs/2405.15012 (2024) - [i14]Vinamra Benara, Chandan Singh, John X. Morris, Richard Antonello, Ion Stoica, Alexander G. Huth, Jianfeng Gao:
Crafting Interpretable Embeddings by Asking LLMs Questions. CoRR abs/2405.16714 (2024) - [i13]Jinyan Su, John X. Morris, Preslav Nakov, Claire Cardie:
Corpus Poisoning via Approximate Greedy Gradient Descent. CoRR abs/2406.05087 (2024) - [i12]Tingwei Zhang, Collin Zhang, John X. Morris, Eugene Bagdasaryan, Vitaly Shmatikov:
Soft Prompts Go Hard: Steering Visual Language Models with Hidden Meta-Instructions. CoRR abs/2407.08970 (2024) - [i11]John X. Morris, Alexander M. Rush:
Contextual Document Embeddings. CoRR abs/2410.02525 (2024) - 2023
- [c8]Chandan Singh, John X. Morris, Jyoti Aneja, Alexander M. Rush, Jianfeng Gao:
Explaining Data Patterns in Natural Language with Language Models. BlackboxNLP@EMNLP 2023: 31-55 - [c7]Chandan Singh, John X. Morris, Alexander M. Rush, Jianfeng Gao, Yuntian Deng:
Tree Prompting: Efficient Task Adaptation without Fine-Tuning. EMNLP 2023: 6253-6267 - [c6]John X. Morris, Volodymyr Kuleshov, Vitaly Shmatikov, Alexander M. Rush:
Text Embeddings Reveal (Almost) As Much As Text. EMNLP 2023: 12448-12460 - [i10]John X. Morris, Volodymyr Kuleshov, Vitaly Shmatikov, Alexander M. Rush:
Text Embeddings Reveal (Almost) As Much As Text. CoRR abs/2310.06816 (2023) - [i9]John X. Morris, Chandan Singh, Alexander M. Rush, Jianfeng Gao, Yuntian Deng:
Tree Prompting: Efficient Task Adaptation without Fine-Tuning. CoRR abs/2310.14034 (2023) - [i8]John X. Morris, Wenting Zhao, Justin T. Chiu, Vitaly Shmatikov, Alexander M. Rush:
Language Model Inversion. CoRR abs/2311.13647 (2023) - 2022
- [c5]John X. Morris, Justin T. Chiu, Ramin Zabih, Alexander M. Rush:
Unsupervised Text Deidentification. EMNLP (Findings) 2022: 4777-4788 - [i7]Chandan Singh, John X. Morris, Jyoti Aneja, Alexander M. Rush, Jianfeng Gao:
Explaining Patterns in Data with Language Models via Interpretable Autoprompting. CoRR abs/2210.01848 (2022) - [i6]John X. Morris, Justin T. Chiu, Ramin Zabih, Alexander M. Rush:
Unsupervised Text Deidentification. CoRR abs/2210.11528 (2022) - 2020
- [c4]John X. Morris:
Second-Order NLP Adversarial Examples. BlackboxNLP@EMNLP 2020: 228-237 - [c3]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: 323-332 - [c2]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: 119-126 - [c1]John X. Morris, Eli Lifland, Jack Lanchantin, Yangfeng Ji, Yanjun Qi:
Reevaluating Adversarial Examples in Natural Language. EMNLP (Findings) 2020: 3829-3839 - [i5]John X. Morris
Reevaluating Adversarial Examples in Natural Language. CoRR abs/2004.14174 (2020) - [i4]John X. Morris
TextAttack: A Framework for Adversarial Attacks in Natural Language Processing. CoRR abs/2005.05909 (2020) - [i3]Jin Yong Yoo, John X. Morris
Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples. CoRR abs/2009.06368 (2020) - [i2]John X. Morris
TextAttack: Lessons learned in designing Python frameworks for NLP. CoRR abs/2010.01724 (2020) - [i1]John X. Morris
Second-Order NLP Adversarial Examples. CoRR abs/2010.01770 (2020)
Coauthor Index
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