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09/13/2023
Pretraining on the Test Set Is All You Need
Inspired by recent work demonstrating the promise of smaller Transformer...
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07/20/2023
Invalid Logic, Equivalent Gains: The Bizarreness of Reasoning in Language Model Prompting
Language models can be prompted to reason through problems in a manner t...
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07/20/2023
Deceptive Alignment Monitoring
As the capabilities of large machine learning models continue to grow, a...
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07/20/2023
FACADE: A Framework for Adversarial Circuit Anomaly Detection and Evaluation
We present FACADE, a novel probabilistic and geometric framework designe...
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06/20/2023
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
Generative Pre-trained Transformer (GPT) models have exhibited exciting ...
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04/28/2023
Are Emergent Abilities of Large Language Models a Mirage?
Recent work claims that large language models display emergent abilities...
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03/24/2023
Double Descent Demystified: Identifying, Interpreting Ablating the Sources of a Deep Learning Puzzle
Double descent is a surprising phenomenon in machine learning, in which ...
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05/02/2022
Streaming Inference for Infinite Non-Stationary Clustering
Learning from a continuous stream of non-stationary data in an unsupervi...
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11/05/2021
