Ajay Patel

According to our database, Ajay Patel authored at least 20 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models.

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

CoRR, 2024

Latent Space Interpretation for Stylistic Analysis and Explainable Authorship Attribution.

Milad Alshomary, Narutatsu Ri, Marianna Apidianaki, Ajay Patel, Smaranda Muresan, Kathleen R. McKeown

CoRR, 2024

Large Language Models Can Self-Improve At Web Agent Tasks.

Ajay Patel, Markus Hofmarcher, Claudiu Leoveanu-Condrei, Marius-Constantin Dinu, Chris Callison-Burch, Sepp Hochreiter

CoRR, 2024

TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings.

Zachary Horvitz, Ajay Patel, Kanishk Singh, Chris Callison-Burch, Kathleen R. McKeown, Zhou Yu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows.

Ajay Patel, Colin Raffel, Chris Callison-Burch

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer.

Zachary Horvitz, Ajay Patel, Chris Callison-Burch, Zhou Yu, Kathleen R. McKeown

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Hand Gesture Data.

Ajay Patel, Charan KS, Prasansa Bhagat, Kshitij Sharma, C. Gururaj

Dataset, August, 2023

Learning Interpretable Style Embeddings via Prompting LLMs.

Ajay Patel, Delip Rao, Chris Callison-Burch

CoRR, 2023

Leveraging Large Language Models in Conversational Recommender Systems.

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

CoRR, 2023

Bidirectional Language Models Are Also Few-shot Learners.

Ajay Patel, Bryan Li, Mohammad Sadegh Rasooli, Noah Constant, Colin Raffel, Chris Callison-Burch

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Interpretable Style Embeddings via Prompting LLMs.

Ajay Patel, Delip Rao, Ansh Kothary, Kathleen R. McKeown, Chris Callison-Burch

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Low-Resource Authorship Style Transfer with In-Context Learning.

Ajay Patel, Nicholas Andrews, Chris Callison-Burch

CoRR, 2022

Multilingual Bidirectional Unsupervised Translation Through Multilingual Finetuning and Back-Translation.

Bryan Li, Mohammad Sadegh Rasooli, Ajay Patel, Chris Callison-Burch

CoRR, 2022

2019

Image Level Training and Prediction: Intracranial Hemorrhage Identification in 3D Non-Contrast CT.

Ajay Patel, Sil C. van de Leemput, Mathias Prokop, Bram van Ginneken, Rashindra Manniesing

IEEE Access, 2019

Multiclass Brain Tissue Segmentation in 4D CT Using Convolutional Neural Networks.

Sil C. van de Leemput, Midas Meijs, Ajay Patel, Frederick J. A. Meijer, Bram van Ginneken, Rashindra Manniesing

IEEE Access, 2019

2018

A convolutional neural network for intracranial hemorrhage detection in non-contrast CT.

Ajay Patel, Rashindra Manniesing

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package.

Ajay Patel, Alexander Sands, Chris Callison-Burch, Marianna Apidianaki

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

2017

Robust cranial cavity segmentation in CT and CT perfusion images of trauma and suspected stroke patients.

Ajay Patel, Bram van Ginneken, Frederick J. A. Meijer, Ewoud J. van Dijk, Mathias Prokop, Rashindra Manniesing

Medical Image Anal., 2017

Automatic cerebrospinal fluid segmentation in non-contrast CT images using a 3D convolutional network.

Ajay Patel, Sil C. van de Leemput, Mathias Prokop, Bram van Ginneken, Rashindra Manniesing

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

2006

Business Process Automation and XML Standards: Is there a Semantic Gap?

Adam Trachtenberg, Chester Karwatowski, Ajay Patel, Rob Barrett, Wendell Baker, Savitha Srinivasan

Proceedings of the Eighth IEEE International Conference on E-Commerce Technology (CEC 2006) / Third IEEE International Conference on Enterprise Computing, 2006