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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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Simulacra as Conscious Exotica

Simulacra as Conscious Exotica

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4 min read
Machine Psychology: Investigating Emergent Capabilities and Behavior in Large Language Models Using Psychological Methods

Machine Psychology: Investigating Emergent Capabilities and Behavior in Large Language Models Using Psychological Methods

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4 min read
Abide by the Law and Follow the Flow: Conservation Laws for Gradient Flows

Abide by the Law and Follow the Flow: Conservation Laws for Gradient Flows

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4 min read
AI Agents That Matter
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AI Agents That Matter

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3 min read
Mixture of A Million Experts
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Mixture of A Million Experts

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3 min read
OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training
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OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training

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3 min read
Which algorithm to select in sports timetabling?

Which algorithm to select in sports timetabling?

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4 min read
Distilling System 2 into System 1
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Distilling System 2 into System 1

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4 min read
A Multivariate Unimodality Test Harnessing the Dip Statistic of Mahalanobis Distances Over Random Projections

A Multivariate Unimodality Test Harnessing the Dip Statistic of Mahalanobis Distances Over Random Projections

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3 min read
The Reason behind Good or Bad: Towards a Better Mathematical Verifier with Natural Language Feedback
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The Reason behind Good or Bad: Towards a Better Mathematical Verifier with Natural Language Feedback

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4 min read
Personalized Language Modeling from Personalized Human Feedback
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Personalized Language Modeling from Personalized Human Feedback

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4 min read
SmartChoices: Augmenting Software with Learned Implementations

SmartChoices: Augmenting Software with Learned Implementations

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4 min read
Vulnerability Detection with Code Language Models: How Far Are We?
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Vulnerability Detection with Code Language Models: How Far Are We?

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5 min read
Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models
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Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

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4 min read
Shadows of quantum machine learning

Shadows of quantum machine learning

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4 min read
LLMs can learn self-restraint through iterative self-reflection

LLMs can learn self-restraint through iterative self-reflection

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5 min read
A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models
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A Practical Review of Mechanistic Interpretability for Transformer-Based Language Models

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4 min read
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards
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When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards

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4 min read
Reasoning in Large Language Models: A Geometric Perspective
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Reasoning in Large Language Models: A Geometric Perspective

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4 min read
Memory, Consciousness and Large Language Model
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Memory, Consciousness and Large Language Model

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4 min read
ColPali: Efficient Document Retrieval with Vision Language Models
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ColPali: Efficient Document Retrieval with Vision Language Models

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4 min read
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
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Learning to (Learn at Test Time): RNNs with Expressive Hidden States

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3 min read
How do you know that? Teaching Generative Language Models to Reference Answers to Biomedical Questions
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How do you know that? Teaching Generative Language Models to Reference Answers to Biomedical Questions

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4 min read
Volumetric Rendering with Baked Quadrature Fields

Volumetric Rendering with Baked Quadrature Fields

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3 min read
When LLMs Play the Telephone Game: Cumulative Changes and Attractors in Iterated Cultural Transmissions
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When LLMs Play the Telephone Game: Cumulative Changes and Attractors in Iterated Cultural Transmissions

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4 min read
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