Susan Zhang - RankMe

13 papers A* 2Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track. CoRR Rylan Schaeffer, Joshua Kazdan, Yegor Denisov-Blanch, Brando Miranda, Matthias Gerstgrasser, Susan Zhang, Andreas Haupt, Isha Gupta, Elyas Obbad, Jesse Dodge, Jessica Zosa Forde, Koustuv Sinha, Francesco Orabona, Sanmi Koyejo, David L. Donoho
2023	J	`jnl`	A Theory on Adam Instability in Large-Scale Machine Learning. CoRR Igor Molybog, Peter Albert, Moya Chen, Zachary DeVito, David Esiobu, Naman Goyal, Punit Singh Koura, Sharan Narang, Andrew Poulton, Ruan Silva, Binh Tang, Diana Liskovich, Puxin Xu, Yuchen Zhang, Melanie Kambadur, Stephen Roller, Susan Zhang
2023	J	`jnl`	Effective Theory of Transformers at Initialization. CoRR Emily Dinan, Sho Yaida, Susan Zhang
2023	A*	`conf`	LIMA: Less Is More for Alignment. NeurIPS 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
2023	J	`jnl`	LIMA: Less Is More for Alignment. CoRR 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
2023	J	`jnl`	Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning. CoRR 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
2023	A*	`conf`	Scaling Laws for Generative Mixed-Modal Language Models. ICML Armen Aghajanyan, Lili Yu, Alexis Conneau, Wei-Ning Hsu, Karen Hambardzumyan, Susan Zhang, Stephen Roller, Naman Goyal, Omer Levy, Luke Zettlemoyer
2023	J	`jnl`	Scaling Laws for Generative Mixed-Modal Language Models. CoRR Armen Aghajanyan, Lili Yu, Alexis Conneau, Wei-Ning Hsu, Karen Hambardzumyan, Susan Zhang, Stephen Roller, Naman Goyal, Omer Levy, Luke Zettlemoyer
2022	J	`jnl`	OPT: Open Pre-trained Transformer Language Models. CoRR 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
2019	J	`jnl`	Dota 2 with Large Scale Deep Reinforcement Learning. CoRR 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
2019	J	`jnl`	Long-Term Planning and Situational Awareness in OpenAI Five. CoRR Jonathan Raiman, Susan Zhang, Filip Wolski
2019	J	`jnl`	Neural Network Surgery with Sets. CoRR Jonathan Raiman, Susan Zhang, Christy Dennison
2014	—	`conf`	The PlaceIQ Analytic Platform: Location Oriented Approaches to Mobile Audiences. ADKDD@KDD 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