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09/21/2023
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Large language models (LLMs) have pushed the limits of natural language ...
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08/15/2023
Forward-Backward Reasoning in Large Language Models for Verification
Chain-of-Though (CoT) prompting has shown promising performance in vario...
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04/19/2023
Progressive-Hint Prompting Improves Reasoning in Large Language Models
The performance of Large Language Models (LLMs) in reasoning tasks depen...
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07/14/2022
Learning to Prove Trigonometric Identities
Automatic theorem proving with deep learning methods has attracted atten...
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06/15/2022
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification
Although deep neural networks are capable of achieving performance super...
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02/01/2022
Advances in MetaDL: AAAI 2021 challenge and workshop
To stimulate advances in metalearning using deep learning techniques (Me...
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10/30/2020
AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data
Developing high-performing predictive models for large tabular data sets...
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08/22/2019