The BBN document analysis service: a platform for multilingual document translation. - Ehry MacRostie; Rohit Prasad; Stephen Rawls; Matin Kamali; Huaigu Cao; Krishna Subramanian 001; Premkumar Natarajan (Document Analysis Systems, 2010)

Smart sensor demonstration payload. - John L. Schmalzel; Andrew Bracey; Stephen Rawls; Jon Morris; Mark Turowski; Richard Franzl; Fernando Figueroa (IEEE Instrum. Meas. Mag., 2010)

Pose-Aware Face Recognition in the Wild. - Iacopo Masi; Stephen Rawls; Gérard G. Medioni; Prem Natarajan (CVPR, 2016)

Learning document image binarization from data. - Yue Wu 001; Premkumar Natarajan; Stephen Rawls; Wael Abd-Almageed (ICIP, 2016)

Computationally efficient template-based face recognition. - Yue Wu 001; Wael Abd-Almageed; Stephen Rawls; Prem Natarajan (ICPR, 2016)

Face recognition using deep multi-pose representations. - Wael Abd-Almageed; Yue Wu 001; Stephen Rawls; Shai Harel; Tal Hassner; Iacopo Masi; Jongmoo Choi; Jatuporn Toy Leksut; Jungyeon Kim; Prem Natarajan; Ram Nevatia; Gérard G. Medioni (WACV, 2016)

Combining deep learning and language modeling for segmentation-free OCR from raw pixels. - Stephen Rawls; Huaigu Cao; Ekraam Sabir; Prem Natarajan (ASAR, 2017)

EPAT: Euclidean Perturbation Analysis and Transform - An Agnostic Data Adaptation Framework for Improving Facial Landmark Detectors. - Yue Wu 001; Wael Abd-Almageed; Stephen Rawls; Premkumar Natarajan (FG, 2017)

1990 US Census Form Recognition Using CTC Network, WFST Language Model, and Surname Correction. - Huaigu Cao; Stephen Rawls; Prem Natarajan (ICDAR, 2017)

Combining Convolutional Neural Networks and LSTMs for Segmentation-Free OCR. - Stephen Rawls; Huaigu Cao; Senthil Kumar; Prem Natarajan (ICDAR, 2017)

Implicit Language Model in LSTM for OCR. - Ekraam Sabir; Stephen Rawls; Prem Natarajan (MOCR@ICDAR, 2017)

How To Efficiently Increase Resolution in Neural OCR Models. - Stephen Rawls; Huaigu Cao; Joe Mathai; Prem Natarajan (ASAR, 2018)

A Synthetic Recipe for OCR. - David Etter; Stephen Rawls; Cameron Carpenter; Gregory Sell (ICDAR, 2019)

Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild. - Iacopo Masi; Feng-Ju Chang; Jongmoo Choi; Shai Harel; Jungyeon Kim; KangGeon Kim; Jatuporn Toy Leksut; Stephen Rawls; Yue Wu 001; Tal Hassner; Wael AbdAlmageed; Gérard G. Medioni; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Don't Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding. - Qile Zhu; Haidar Khan; Saleh Soltan; Stephen Rawls; Wael Hamza (CoNLL, 2020)

Multimodal Context Carryover. - Prashan Wanigasekara; Nalin Gupta; Fan Yang; Emre Barut; Zeynab Raeesy; Kechen Qin; Stephen Rawls; Xinyue Liu; Chengwei Su; Spurthi Sandiri (EMNLP (Industry Track), 2022)

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. - Jack FitzGerald; Shankar Ananthakrishnan; Konstantine Arkoudas; Davide Bernardi; Abhishek Bhagia; Claudio Delli Bovi; Jin Cao 003; Rakesh Chada; Amit Chauhan; Luoxin Chen; Anurag Dwarakanath; Satyam Dwivedi; et al. (KDD, 2022)

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. - Jack FitzGerald; Shankar Ananthakrishnan; Konstantine Arkoudas; Davide Bernardi; Abhishek Bhagia; Claudio Delli Bovi; Jin Cao 003; Rakesh Chada; Amit Chauhan; Luoxin Chen; Anurag Dwarakanath; Satyam Dwivedi; et al. (CoRR, 2022)

AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model. - Saleh Soltan; Shankar Ananthakrishnan; Jack FitzGerald; Rahul Gupta 001; Wael Hamza; Haidar Khan; Charith Peris; Stephen Rawls; Andy Rosenbaum; Anna Rumshisky; Chandana Satya Prakash; Mukund Sridhar; et al. (CoRR, 2022)

Translation-Enhanced Multilingual Text-to-Image Generation. - Yaoyiran Li; Ching-Yun Chang; Stephen Rawls; Ivan Vulic; Anna Korhonen (ACL (1), 2023)

Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data. - Vladislav Lialin; Stephen Rawls; David Chan; Shalini Ghosh; Anna Rumshisky; Wael Hamza (WACV (Workshops), 2023)

Visual Item Selection With Voice Assistants: A systems perspective. - Prashan Wanigasekara; Rafid Al-Humaimidi; Turan Gojayev; Niloofar Gheissari; Achal Dave; Stephen Rawls; Fan Yang; Kechen Qin; Nalin Gupta; Spurthi Sandiri; Chevanthie Dissanayake; Zeynab Raeesy; et al. (WWW (Companion Volume), 2023)

Dense Backpropagation Improves Routing for Sparsely-Gated Mixture-of-Experts. - Ashwinee Panda; Vatsal Baherwani; Zain Sarwar; Benjamin Thérien; Sambit Sahu; Stephen Rawls; Supriyo Chakraborty; Tom Goldstein (ENLSP, 2024)

StructMoE: Structured Mixture of Experts Using Low Rank Experts. - Zain Sarwar; Ashwinee Panda; Benjamin Thérien; Stephen Rawls; Anirban Das; Kartik Balasubramaniam; Berkcan Kapusuzoglu; Shixiong Zhang; Sambit Sahu; Milind Naphade; Supriyo Chakraborty (ENLSP, 2024)

LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models. - Akshaj Kumar Veldanda; Shi-Xiong Zhang 001; Anirban Das; Supriyo Chakraborty; Stephen Rawls; Sambit Sahu; Milind R. Naphade (CoRR, 2024)

Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and Alignment. - Melissa Kazemi Rad; Huy Nghiem; Andy Luo; Sahil Wadhwa; Mohammad Sorower; Stephen Rawls (CoRR, 2025)

Continual Pre-training of MoEs: How robust is your router? - Benjamin Thérien; Charles-Étienne Joseph; Zain Sarwar; Ashwinee Panda; Anirban Das; Shi-Xiong Zhang 001; Stephen Rawls; Sambit Sahu; Eugene Belilovsky; Irina Rish (CoRR, 2025)