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Machine Learning

A branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn, gradually improving its accuracy.

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Cutting through buggy adversarial example defenses: fixing 1 line of code breaks Sabre

Cutting through buggy adversarial example defenses: fixing 1 line of code breaks Sabre

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4 min read
Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object Motion

Ctrl-V: Higher Fidelity Video Generation with Bounding-Box Controlled Object Motion

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4 min read
{sigma}-GPTs: A New Approach to Autoregressive Models

{sigma}-GPTs: A New Approach to Autoregressive Models

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4 min read
Bytes Are All You Need: Transformers Operating Directly On File Bytes

Bytes Are All You Need: Transformers Operating Directly On File Bytes

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4 min read
Bayesian Regression Markets

Bayesian Regression Markets

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3 min read
Repairing Catastrophic-Neglect in Text-to-Image Diffusion Models via Attention-Guided Feature Enhancement

Repairing Catastrophic-Neglect in Text-to-Image Diffusion Models via Attention-Guided Feature Enhancement

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4 min read
If in a Crowdsourced Data Annotation Pipeline, a GPT-4

If in a Crowdsourced Data Annotation Pipeline, a GPT-4

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3 min read
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text

Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text

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4 min read
My Experience with Python for Data Analysis

My Experience with Python for Data Analysis

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MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

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5 min read
SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models

SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models

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5 min read
MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

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4 min read
Evaluating the Social Impact of Generative AI Systems in Systems and Society

Evaluating the Social Impact of Generative AI Systems in Systems and Society

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5 min read
From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data

From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic Data

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5 min read
Assessing the nature of large language models: A caution against anthropocentrism

Assessing the nature of large language models: A caution against anthropocentrism

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4 min read
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