Ajay Patel

36 papers A* 3B 1Journal 21Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Connecting the Dots: Surfacing Structure in Documents through AI-Generated Cross-Modal Links.
CoRR
Alyssa Hwang, Hita Kambhamettu, Yue Yang, Ajay Patel, Joseph Chee Chang, Andrew Head
2026 J jnl
FineInstructions: Scaling Synthetic Instructions to Pre-Training Scale.
CoRR
Ajay Patel, Colin Raffel, Chris Callison-Burch
2025 B conf
Latent Space Interpretation for Stylistic Analysis and Explainable Authorship Attribution.
COLING
Milad Alshomary, Narutatsu Ri, Marianna Apidianaki, Ajay Patel, Smaranda Muresan, Kathleen R. McKeown
2025 A* conf
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models.
CVPR
Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi
2025 — conf
Quantifying Misattribution Unfairness in Authorship Attribution.
ACL (2)
Pegah Alipoormolabashi, Ajay Patel, Niranjan Balasubramanian
2025 J jnl
Quantifying Misattribution Unfairness in Authorship Attribution.
CoRR
Pegah Alipoormolabashi, Ajay Patel, Niranjan Balasubramanian
2025 — conf
Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation.
ACL (1)
Yue Yang, Ajay Patel, Matt Deitke, Tanmay Gupta, Luca Weihs, Andrew Head, Mark Yatskar, Chris Callison-Burch, Ranjay Krishna, Aniruddha Kembhavi, Christopher Clark
2025 J jnl
Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation.
CoRR
Yue Yang, Ajay Patel, Matt Deitke, Tanmay Gupta, Luca Weihs, Andrew Head, Mark Yatskar, Chris Callison-Burch, Ranjay Krishna, Aniruddha Kembhavi, Christopher Clark
2025 — conf
StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples.
NAACL (Long Papers)
Ajay Patel, Jiacheng Zhu, Justin Qiu, Zachary Horvitz, Marianna Apidianaki, Kathleen McKeown, Chris Callison-Burch
2025 — conf
mStyleDistance: Multilingual Style Embeddings and their Evaluation.
ACL (Findings)
Justin Qiu, Jiacheng Zhu, Ajay Patel, Marianna Apidianaki, Chris Callison-Burch
2025 J jnl
mStyleDistance: Multilingual Style Embeddings and their Evaluation.
CoRR
Justin Qiu, Jiacheng Zhu, Ajay Patel, Marianna Apidianaki, Chris Callison-Burch
2024 — conf
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows.
ACL (1)
Ajay Patel, Colin Raffel, Chris Callison-Burch
2024 J jnl
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows.
CoRR
Ajay Patel, Colin Raffel, Chris Callison-Burch
2024 J jnl
Large Language Models Can Self-Improve At Web Agent Tasks.
CoRR
Ajay Patel, Markus Hofmarcher, Claudiu Leoveanu-Condrei, Marius-Constantin Dinu, Chris Callison-Burch, Sepp Hochreiter
2024 J jnl
Latent Space Interpretation for Stylistic Analysis and Explainable Authorship Attribution.
CoRR
Milad Alshomary, Narutatsu Ri, Marianna Apidianaki, Ajay Patel, Smaranda Muresan, Kathleen R. McKeown
2024 J jnl
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models.
CoRR
Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Jen Dumas, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi
2024 A* conf
ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer.
AAAI
Zachary Horvitz, Ajay Patel, Chris Callison-Burch, Zhou Yu, Kathleen R. McKeown
2024 J jnl
StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples.
CoRR
Ajay Patel, Jiacheng Zhu, Justin Qiu, Zachary Horvitz, Marianna Apidianaki, Kathy McKeown, Chris Callison-Burch
2024 — conf
TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings.
EMNLP (Findings)
Zachary Horvitz, Ajay Patel, Kanishk Singh, Chris Callison-Burch, Kathleen R. McKeown, Zhou Yu
2024 J jnl
TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings.
CoRR
Zachary Horvitz, Ajay Patel, Kanishk Singh, Chris Callison-Burch, Kathleen R. McKeown, Zhou Yu
2023 A* conf
Bidirectional Language Models Are Also Few-shot Learners.
ICLR
Ajay Patel, Bryan Li, Mohammad Sadegh Rasooli, Noah Constant, Colin Raffel, Chris Callison-Burch
2023 — conf
Learning Interpretable Style Embeddings via Prompting LLMs.
EMNLP (Findings)
Ajay Patel, Delip Rao, Ansh Kothary, Kathleen R. McKeown, Chris Callison-Burch
2023 J jnl
Learning Interpretable Style Embeddings via Prompting LLMs.
CoRR
Ajay Patel, Delip Rao, Chris Callison-Burch
2023 J jnl
Leveraging Large Language Models in Conversational Recommender Systems.
CoRR
Luke Friedman, Sameer Ahuja, David Allen, Zhenning Tan, Hakim Sidahmed, Changbo Long, Jun Xie, Gabriel Schubiner, Ajay Patel, Harsh Lara, Brian Chu, Zexi Chen, Manoj Tiwari
2023 J jnl
ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer.
CoRR
Zachary Horvitz, Ajay Patel, Chris Callison-Burch, Zhou Yu, Kathleen R. McKeown
2022 J jnl
Bidirectional Language Models Are Also Few-shot Learners.
CoRR
Ajay Patel, Bryan Li, Mohammad Sadegh Rasooli, Noah Constant, Colin Raffel, Chris Callison-Burch
2022 J jnl
Low-Resource Authorship Style Transfer with In-Context Learning.
CoRR
Ajay Patel, Nicholas Andrews, Chris Callison-Burch
2022 J jnl
Multilingual Bidirectional Unsupervised Translation Through Multilingual Finetuning and Back-Translation.
CoRR
Bryan Li, Mohammad Sadegh Rasooli, Ajay Patel, Chris Callison-Burch
2019 J jnl
Image Level Training and Prediction: Intracranial Hemorrhage Identification in 3D Non-Contrast CT.
IEEE Access
Ajay Patel, Sil C. van de Leemput, Mathias Prokop, Bram van Ginneken, Rashindra Manniesing
2019 J jnl
Multiclass Brain Tissue Segmentation in 4D CT Using Convolutional Neural Networks.
IEEE Access
Sil C. van de Leemput, Midas Meijs, Ajay Patel, Frederick J. A. Meijer, Bram van Ginneken, Rashindra Manniesing
2018 — conf
A convolutional neural network for intracranial hemorrhage detection in non-contrast CT.
Computer-Aided Diagnosis
Ajay Patel, Rashindra Manniesing
2018 — conf
Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package.
EMNLP (Demonstration)
Ajay Patel, Alexander Sands, Chris Callison-Burch, Marianna Apidianaki
2018 J jnl
Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package.
CoRR
Ajay Patel, Alexander Sands, Chris Callison-Burch, Marianna Apidianaki
2017 — conf
Automatic cerebrospinal fluid segmentation in non-contrast CT images using a 3D convolutional network.
Computer-Aided Diagnosis
Ajay Patel, Sil C. van de Leemput, Mathias Prokop, Bram van Ginneken, Rashindra Manniesing
2017 J jnl
Robust cranial cavity segmentation in CT and CT perfusion images of trauma and suspected stroke patients.
Medical Image Anal.
Ajay Patel, Bram van Ginneken, Frederick J. A. Meijer, Ewoud J. van Dijk, Mathias Prokop, Rashindra Manniesing
2006 — conf
Business Process Automation and XML Standards: Is there a Semantic Gap?
CEC/EEE
Adam Trachtenberg, Chester Karwatowski, Ajay Patel, Rob Barrett, Wendell Baker, Savitha Srinivasan