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08/07/2023
Studying Large Language Model Generalization with Influence Functions
When trying to gain better visibility into a machine learning model in o...
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06/28/2023
Towards Measuring the Representation of Subjective Global Opinions in Language Models
Large language models (LLMs) may not equitably represent diverse global ...
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06/05/2023
Operationalising the Definition of General Purpose AI Systems: Assessing Four Approaches
The European Union's Artificial Intelligence (AI) Act is set to be a lan...
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04/17/2023
BenchMD: A Benchmark for Modality-Agnostic Learning on Medical Images and Sensors
Medical data poses a daunting challenge for AI algorithms: it exists in ...
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02/11/2023
Multispectral Self-Supervised Learning with Viewmaker Networks
Contrastive learning methods have been applied to a range of domains and...
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12/20/2022
Task Ambiguity in Humans and Language Models
Language models have recently achieved strong performance across a wide ...
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12/16/2022
Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning
What role do augmentations play in contrastive learning? Recent work sug...
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04/18/2022
Active Learning Helps Pretrained Models Learn the Intended Task
Models can fail in unpredictable ways during deployment due to task ambi...
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02/24/2022
Oolong: Investigating What Makes Crosslingual Transfer Hard with Controlled Studies
Little is known about what makes cross-lingual transfer hard, since fact...
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12/10/2021
Tradeoffs Between Contrastive and Supervised Learning: An Empirical Study
Contrastive learning has made considerable progress in computer vision, ...
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11/23/2021
DABS: A Domain-Agnostic Benchmark for Self-Supervised Learning
Self-supervised learning algorithms, including BERT and SimCLR, have ena...
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08/23/2021
C5T5: Controllable Generation of Organic Molecules with Transformers
Methods for designing organic materials with desired properties have hig...
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02/04/2021
Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models
On October 14th, 2020, researchers from OpenAI, the Stanford Institute f...
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11/09/2020
Language Through a Prism: A Spectral Approach for Multiscale Language Representations
Language exhibits structure at different scales, ranging from subwords t...
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10/14/2020
Viewmaker Networks: Learning Views for Unsupervised Representation Learning
Many recent methods for unsupervised representation learning involve tra...
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04/30/2020
Investigating Transferability in Pretrained Language Models
While probing is a common technique for identifying knowledge in the rep...
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11/05/2019
