Susan Zhang

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 14

Top Topics

Learning Experience

Situational Awareness

Opinion Leaders

Top Venues

Commun. Assoc. Inf. Syst.

Publications

Chunting Zhou, Pengfei Liu, Puxin Xu, Srini Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, Lili Yu, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, Omer Levy
LIMA: Less Is More for Alignment. CoRR (2023)
Susan Zhang, Jun Shen, Jun Yan
Novel E-Learning Experience and Perceptions with Impacts from Educational Key Opinion Leaders. FIE (2023)
Igor Molybog, Peter Albert, Moya Chen, Zachary DeVito, David Esiobu, Naman Goyal, Punit Singh Koura, Sharan Narang, Andrew Poulton, Ruan Silva, Binh Tang, Puxin Xu, Yuchen Zhang, Melanie Kambadur, Stephen Roller, Susan Zhang
A Theory on Adam Instability in Large-Scale Machine Learning. CoRR (2023)
Susan Zhang, Jun Shen, Jun Yan
Children's E-Learning Interactions and Perceived Outcomes with Educational Key Opinion Leaders in China. Commun. Assoc. Inf. Syst. 53 (2023)
Armen Aghajanyan, Lili Yu, Alexis Conneau, Wei-Ning Hsu, Karen Hambardzumyan, Susan Zhang, Stephen Roller, Naman Goyal, Omer Levy, Luke Zettlemoyer
Scaling Laws for Generative Mixed-Modal Language Models. ICML (2023)
Chunting Zhou, Pengfei Liu, Puxin Xu, Srinivasan Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, Lili Yu, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, Omer Levy
LIMA: Less Is More for Alignment. NeurIPS (2023)
Armen Aghajanyan, Lili Yu, Alexis Conneau, Wei-Ning Hsu, Karen Hambardzumyan, Susan Zhang, Stephen Roller, Naman Goyal, Omer Levy, Luke Zettlemoyer
Scaling Laws for Generative Mixed-Modal Language Models. CoRR (2023)
Lili Yu, Bowen Shi, Ramakanth Pasunuru, Benjamin Muller, Olga Golovneva, Tianlu Wang, Arun Babu, Binh Tang, Brian Karrer, Shelly Sheynin, Candace Ross, Adam Polyak, Russell Howes, Vasu Sharma, Puxin Xu, Hovhannes Tamoyan, Oron Ashual, Uriel Singer, Shang-Wen Li, Susan Zhang, Richard James, Gargi Ghosh, Yaniv Taigman, Maryam Fazel-Zarandi, Asli Celikyilmaz, Luke Zettlemoyer, Armen Aghajanyan
Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning. CoRR (2023)
Emily Dinan, Sho Yaida, Susan Zhang
Effective Theory of Transformers at Initialization. CoRR (2023)
Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona T. Diab, Xian Li, Xi Victoria Lin, Todor Mihaylov, Myle Ott, Sam Shleifer, Kurt Shuster, Daniel Simig, Punit Singh Koura, Anjali Sridhar, Tianlu Wang, Luke Zettlemoyer
OPT: Open Pre-trained Transformer Language Models. CoRR (2022)
Susan Zhang, Jun Shen, Jun Yan
How Learning Evolved from Offline Classroom to Online Platforms with its Amplifier, Edu-KOLs: A Systematic Literature Review. ACIS (2021)
Jonathan Raiman, Susan Zhang, Christy Dennison
Neural Network Surgery with Sets. CoRR (2019)
Christopher Berner, Greg Brockman, Brooke Chan, Vicki Cheung, Przemyslaw Debiak, Christy Dennison, David Farhi, Quirin Fischer, Shariq Hashme, Christopher Hesse, Rafal Józefowicz, Scott Gray, Catherine Olsson, Jakub Pachocki, Michael Petrov, Henrique Pondé de Oliveira Pinto, Jonathan Raiman, Tim Salimans, Jeremy Schlatter, Jonas Schneider, Szymon Sidor, Ilya Sutskever, Jie Tang, Filip Wolski, Susan Zhang
Dota 2 with Large Scale Deep Reinforcement Learning. CoRR (2019)
Jonathan Raiman, Susan Zhang, Filip Wolski
Long-Term Planning and Situational Awareness in OpenAI Five. CoRR (2019)
Juan M. Huerta, Jonathan Lenaghan, Steve Milton, Kevin Brackney, Amol Kapila, Roman Shraga, Rachit Srivastava, Carmem Domingues Khoa Pham, Eliza Chang, Susan Zhang, Evan Picard, Alexandra Dango, Ranqi Zhu
The PlaceIQ Analytic Platform: Location Oriented Approaches to Mobile Audiences. ADKDD@KDD (2014)