Nathan Scales - RankMe

16 papers A* 5Journal 9Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Evaluation of retrieval-based QA on QUEST-LOFT. CoRR Nathan Scales, Nathanael Schärli, Olivier Bousquet
2023	—	`conf`	Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them. ACL (Findings) Mirac Suzgun, Nathan Scales, Nathanael Schärli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc V. Le, Ed H. Chi, Denny Zhou, Jason Wei
2023	A*	`conf`	Compositional Semantic Parsing with Large Language Models. ICLR Andrew Drozdov, Nathanael Schärli, Ekin Akyürek, Nathan Scales, Xinying Song, Xinyun Chen, Olivier Bousquet, Denny Zhou
2023	A*	`conf`	Large Language Models Can Be Easily Distracted by Irrelevant Context. ICML Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schärli, Denny Zhou
2023	J	`jnl`	Large Language Models Can Be Easily Distracted by Irrelevant Context. CoRR Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schärli, Denny Zhou
2023	A*	`conf`	Least-to-Most Prompting Enables Complex Reasoning in Large Language Models. ICLR Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc V. Le, Ed H. Chi
2022	J	`jnl`	Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them. CoRR Mirac Suzgun, Nathan Scales, Nathanael Schärli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc V. Le, Ed H. Chi, Denny Zhou, Jason Wei
2022	J	`jnl`	Compositional Semantic Parsing with Large Language Models. CoRR Andrew Drozdov, Nathanael Schärli, Ekin Akyürek, Nathan Scales, Xinying Song, Xinyun Chen, Olivier Bousquet, Denny Zhou
2022	J	`jnl`	Large Language Models Encode Clinical Knowledge. CoRR Karan Singhal, Shekoofeh Azizi, Tao Tu, S. Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Kumar Tanwani, Heather Cole-Lewis, Stephen Pfohl, Perry Payne, Martin Seneviratne, Paul Gamble, Chris Kelly, Nathaneal Schärli, Aakanksha Chowdhery, Philip Andrew Mansfield, Blaise Agüera y Arcas, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Katherine Chou, Juraj Gottweis, Nenad Tomasev, Yun Liu, Alvin Rajkomar, Joelle K. Barral, Christopher Semturs, Alan Karthikesalingam, Vivek Natarajan
2022	J	`jnl`	Least-to-Most Prompting Enables Complex Reasoning in Large Language Models. CoRR Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Olivier Bousquet, Quoc Le, Ed H. Chi
2021	A*	`conf`	*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task. AAAI Dmitry Tsarkov, Tibor Tihon, Nathan Scales, Nikola Momchev, Danila Sinopalnikov, Nathanael Schärli
2020	J	`jnl`	*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task. CoRR Dmitry Tsarkov, Tibor Tihon, Nathan Scales, Nikola Momchev, Danila Sinopalnikov, Nathanael Schärli
2020	J	`jnl`	Compositional Generalization in Semantic Parsing: Pre-training vs. Specialized Architectures. CoRR Daniel Furrer, Marc van Zee, Nathan Scales, Nathanael Schärli
2020	A*	`conf`	Measuring Compositional Generalization: A Comprehensive Method on Realistic Data. ICLR Daniel Keysers, Nathanael Schärli, Nathan Scales, Hylke Buisman, Daniel Furrer, Sergii Kashubin, Nikola Momchev, Danila Sinopalnikov, Lukasz Stafiniak, Tibor Tihon, Dmitry Tsarkov, Xiao Wang, Marc van Zee, Olivier Bousquet
2019	J	`jnl`	Measuring Compositional Generalization: A Comprehensive Method on Realistic Data. CoRR Daniel Keysers, Nathanael Schärli, Nathan Scales, Hylke Buisman, Daniel Furrer, Sergii Kashubin, Nikola Momchev, Danila Sinopalnikov, Lukasz Stafiniak, Tibor Tihon, Dmitry Tsarkov, Xiao Wang, Marc van Zee, Olivier Bousquet
2004	—	`conf`	Modelling Electroosmotic Flow in Porous Media for Microfluidic Applications. ICMENS Nathan Scales, Niall Tait