Nathan Scales
6 papers · 2020–2023 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(23)
🐣
Hot Topic Early Bird
📈
Trend Setter
Top co-authors
Research topics
Artificial Intelligence
(6)
Core AI
(6)
Natural Language Processing
(5)
Machine Learning
(4)
Deep Learning
(3)
Applications
(3)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(3)
Resources & Methods
(3)
Understanding
(2)
Knowledge & Reasoning
(1)
Application Areas
(1)
Core Methods
(1)
Models
(1)
Reasoning
(1)
Keywords
compositional generalization
(4)
large language model
(3)
semantic parsing
(2)
chain-of-thought prompting
(2)
least-to-most prompting
(2)
benchmark evaluation
(2)
transformer neural network
(1)
reasoning evaluation
(1)
symbolic manipulation
(1)
scalability analysis
(1)
few-shot prompting
(1)
prompting technique
(1)
arithmetic reasoning
(1)
multi-step reasoning
(1)
benchmark construction
(1)
emergent ability
(1)
irrelevant context
(1)
context robustness
(1)
language model scaling
(1)
machine learning scalability
(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
Large Language Models Can Be Easily Distracted by Irrelevant Context
ICML 2023
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
ICLR 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