Sotabase

Career

· Member Of Technical Staff, OpenAI2025–
· Research Scientist, Meta2023–2025
· Scientist Manager, Amazon Web Services2017–2023
· Research Intern, Google2016–2016
· Research Intern, Microsoft2012–2012
· Doctor of Philosophy (Ph.D.), Computer Science, University of Illinois at Urbana-Champaign2012–2017
· Intern, UBS2011–2011

Publications (0)

The Llama 3 Herd of Models
2024
12,282
cited
Automatic Chain of Thought Prompting in Large Language Models
International Conference on Learning Representations · 2022
869
cited
Is ChatGPT a General-Purpose Natural Language Processing Task Solver?
Conference on Empirical Methods in Natural Language Processing · 2023
817
cited
Multimodal Chain-of-Thought Reasoning in Language Models
Trans. Mach. Learn. Res. · 2023
739
cited
DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing
The Web Conference · 2016
672
cited
Dive into Deep Learning
Journal of the American College of Radiology · 2020
653
cited
AIM: Adapting Image Models for Efficient Video Action Recognition
International Conference on Learning Representations · 2023
221
cited
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing
Journal of machine learning research · 2019
214
cited
A Unified Lottery Ticket Hypothesis for Graph Neural Networks
International Conference on Machine Learning · 2021
200
cited
DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework
ACM International Conference on Embedded Networked Sensor Systems · 2017
198
cited
Deep Learning for the Internet of Things
Computer · 2018
124
cited
MixGen: A New Multi-Modal Data Augmentation
2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) · 2022
122
cited
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives
Annual Meeting of the Association for Computational Linguistics · 2019
118
cited
ControlVAE: Controllable Variational Autoencoder
International Conference on Machine Learning · 2020
117
cited
Free for All! Assessing User Data Exposure to Advertising Libraries on Android
Network and Distributed System Security Symposium · 2016
95
cited
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters
International Conference on Learning Representations · 2021
92
cited
CoCon: A Self-Supervised Approach for Controlled Text Generation
International Conference on Learning Representations · 2020
91
cited
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators
Neural Information Processing Systems · 2019
88
cited
Parameter-Efficient Fine-Tuning Design Spaces
International Conference on Learning Representations · 2023
77
cited
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks
Annual Meeting of the Association for Computational Linguistics · 2019
66
cited
Sotabase