Nathan Scales
6 papers · 2020–2023 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (17) π§ Keyword Pioneer
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Hot Topic Early Bird
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Cross-Pollinator
(15)
Conferences
ICLR (3)
AAAI (1)
ACL (1)
ICML (1)
Top co-authors
Keywords
large language model
(2)
benchmark evaluation
(2)
semantic parsing
(1)
natural language understanding
(1)
compositional generalization
(1)
transformer neural network
(1)
chain-of-thought prompting
(1)
reasoning evaluation
(1)
scalability analysis
(1)
few-shot prompting
(1)
prompting technique
(1)
arithmetic reasoning
(1)
multi-step reasoning
(1)
emergent ability
(1)
irrelevant context
(1)
context robustness
(1)
language model scaling
(1)
transformer architecture
(1)
machine learning scalability
(1)
chain-of-thought reasoning
(1)
Papers
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
ACL 2023
Compositional Semantic Parsing with Large Language Models
ICLR 2023
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
ICLR 2023
Large Language Models Can Be Easily Distracted by Irrelevant Context
ICML 2023
*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task
AAAI 2021
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data
ICLR 2020