John X. Morris

38 papers A* 6Journal 26Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	How to Steal Reasoning Without Reasoning Traces. CoRR Tingwei Zhang, John X. Morris, Vitaly Shmatikov
2026	J	`jnl`	Learning to Detect Language Model Training Data via Active Reconstruction. CoRR Junjie Oscar Yin, John X. Morris, Vitaly Shmatikov, Sewon Min, Hannaneh Hajishirzi
2026	J	`jnl`	Learning to Reason in 13 Parameters. CoRR John X. Morris, Niloofar Mireshghallah, Mark Ibrahim, Saeed Mahloujifar
2025	J	`jnl`	Approximating Language Model Training Data from Weights. CoRR John X. Morris, Junjie Oscar Yin, Woojeong Kim, Vitaly Shmatikov, Alexander M. Rush
2025	J	`jnl`	Better Language Model Inversion by Compactly Representing Next-Token Distributions. CoRR Murtaza Nazir, Matthew Finlayson, John X. Morris, Xiang Ren, Swabha Swayamdipta
2025	J	`jnl`	Harnessing the Universal Geometry of Embeddings. CoRR Rishi D. Jha, Collin Zhang, Vitaly Shmatikov, John X. Morris
2025	J	`jnl`	How much do language models memorize? CoRR John X. Morris, Chawin Sitawarin, Chuan Guo, Narine Kokhlikyan, G. Edward Suh, Alexander M. Rush, Kamalika Chaudhuri, Saeed Mahloujifar
2025	A*	`conf`	Self-interpreting Adversarial Images. USENIX Security Symposium Tingwei Zhang, Collin Zhang, John X. Morris, Eugene Bagdasarian, Vitaly Shmatikov
2025	J	`jnl`	Universal Zero-shot Embedding Inversion. CoRR Collin Zhang, John X. Morris, Vitaly Shmatikov
2024	J	`jnl`	Contextual Document Embeddings. CoRR John X. Morris, Alexander M. Rush
2024	J	`jnl`	Corpus Poisoning via Approximate Greedy Gradient Descent. CoRR Jinyan Su, John X. Morris, Preslav Nakov, Claire Cardie
2024	J	`jnl`	Crafting Interpretable Embeddings by Asking LLMs Questions. CoRR Vinamra Benara, Chandan Singh, John X. Morris, Richard J. Antonello, Ion Stoica, Alexander G. Huth, Jianfeng Gao
2024	A*	`conf`	Crafting Interpretable Embeddings for Language Neuroscience by Asking LLMs Questions. NeurIPS Vinamra Benara, Chandan Singh, John X. Morris, Richard J. Antonello, Ion Stoica, Alexander Huth, Jianfeng Gao
2024	J	`jnl`	DIRI: Adversarial Patient Reidentification with Large Language Models for Evaluating Clinical Text Anonymization. CoRR John X. Morris, Thomas R. Campion Jr., Sri Laasya Nutheti, Yifan Peng, Akhil Raj, Ramin Zabih, Curtis L. Cole
2024	J	`jnl`	Do language models plan ahead for future tokens? CoRR Wilson Wu, John X. Morris, Lionel Levine
2024	A*	`conf`	Extracting Prompts by Inverting LLM Outputs. EMNLP Collin Zhang, John X. Morris, Vitaly Shmatikov
2024	J	`jnl`	Extracting Prompts by Inverting LLM Outputs. CoRR Collin Zhang, John X. Morris, Vitaly Shmatikov
2024	A*	`conf`	Language Model Inversion. ICLR John X. Morris, Wenting Zhao, Justin T. Chiu, Vitaly Shmatikov, Alexander M. Rush
2024	J	`jnl`	Nomic Embed: Training a Reproducible Long Context Text Embedder. CoRR Zach Nussbaum, John X. Morris, Brandon Duderstadt, Andriy Mulyar
2024	J	`jnl`	Soft Prompts Go Hard: Steering Visual Language Models with Hidden Meta-Instructions. CoRR Tingwei Zhang, Collin Zhang, John X. Morris, Eugene Bagdasaryan, Vitaly Shmatikov
2023	—	`conf`	Explaining Data Patterns in Natural Language with Language Models. BlackboxNLP@EMNLP Chandan Singh, John X. Morris, Jyoti Aneja, Alexander M. Rush, Jianfeng Gao
2023	J	`jnl`	Language Model Inversion. CoRR John X. Morris, Wenting Zhao, Justin T. Chiu, Vitaly Shmatikov, Alexander M. Rush
2023	A*	`conf`	Text Embeddings Reveal (Almost) As Much As Text. EMNLP John X. Morris, Volodymyr Kuleshov, Vitaly Shmatikov, Alexander M. Rush
2023	J	`jnl`	Text Embeddings Reveal (Almost) As Much As Text. CoRR John X. Morris, Volodymyr Kuleshov, Vitaly Shmatikov, Alexander M. Rush
2023	A*	`conf`	Tree Prompting: Efficient Task Adaptation without Fine-Tuning. EMNLP Chandan Singh, John X. Morris, Alexander M. Rush, Jianfeng Gao, Yuntian Deng
2023	J	`jnl`	Tree Prompting: Efficient Task Adaptation without Fine-Tuning. CoRR John X. Morris, Chandan Singh, Alexander M. Rush, Jianfeng Gao, Yuntian Deng
2022	J	`jnl`	Explaining Patterns in Data with Language Models via Interpretable Autoprompting. CoRR Chandan Singh, John X. Morris, Jyoti Aneja, Alexander M. Rush, Jianfeng Gao
2022	—	`conf`	Unsupervised Text Deidentification. EMNLP (Findings) John X. Morris, Justin T. Chiu, Ramin Zabih, Alexander M. Rush
2022	J	`jnl`	Unsupervised Text Deidentification. CoRR John X. Morris, Justin T. Chiu, Ramin Zabih, Alexander M. Rush
2020	—	`conf`	Reevaluating Adversarial Examples in Natural Language. EMNLP (Findings) John X. Morris, Eli Lifland, Jack Lanchantin, Yangfeng Ji, Yanjun Qi
2020	J	`jnl`	Reevaluating Adversarial Examples in Natural Language. CoRR John X. Morris, Eli Lifland, Jack Lanchantin, Yangfeng Ji, Yanjun Qi
2020	—	`conf`	Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples. BlackboxNLP@EMNLP Jin Yong Yoo, John X. Morris, Eli Lifland, Yanjun Qi
2020	J	`jnl`	Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples. CoRR Jin Yong Yoo, John X. Morris, Eli Lifland, Yanjun Qi
2020	—	`conf`	Second-Order NLP Adversarial Examples. BlackboxNLP@EMNLP John X. Morris
2020	J	`jnl`	Second-Order NLP Adversarial Examples. CoRR John X. Morris
2020	J	`jnl`	TextAttack: A Framework for Adversarial Attacks in Natural Language Processing. CoRR John X. Morris, Eli Lifland, Jin Yong Yoo, Yanjun Qi
2020	—	`conf`	TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP. EMNLP (Demos) John X. Morris, Eli Lifland, Jin Yong Yoo, Jake Grigsby, Di Jin, Yanjun Qi
2020	J	`jnl`	TextAttack: Lessons learned in designing Python frameworks for NLP. CoRR John X. Morris, Jin Yong Yoo, Yanjun Qi