Nathanael Schärli
7 papers · 2020–2024 · 4 venues · across top CS/AI venues
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Silver
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Taxonomy Completionist
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Hot Topic Early Bird
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Research topics
Artificial Intelligence
(7)
Natural Language Processing
(6)
Core AI
(6)
Machine Learning
(4)
Applications
(4)
Deep Learning
(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)
Learning Paradigms
(1)
Models
(1)
Keywords
compositional generalization
(4)
large language model
(3)
benchmark evaluation
(2)
semantic parsing
(2)
least-to-most prompting
(2)
chain-of-thought prompting
(2)
natural language understanding
(1)
language model
(1)
transformer neural network
(1)
reasoning evaluation
(1)
symbolic manipulation
(1)
rubber-duck debugging
(1)
program repair
(1)
scalability analysis
(1)
few-shot prompting
(1)
code execution
(1)
prompting technique
(1)
arithmetic reasoning
(1)
multi-step reasoning
(1)
benchmark construction
(1)
Papers
Teaching Large Language Models to Self-Debug
ICLR 2024
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