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Data Science allows us to extract meaning from and interpret data.

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Lessons from the Trenches on Reproducible Evaluation of Language Models

Lessons from the Trenches on Reproducible Evaluation of Language Models

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5 min read
Extracting Prompts by Inverting LLM Outputs

Extracting Prompts by Inverting LLM Outputs

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4 min read
Models That Prove Their Own Correctness

Models That Prove Their Own Correctness

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5 min read
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference

ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference

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4 min read
Surveilling the Masses with Wi-Fi-Based Positioning Systems

Surveilling the Masses with Wi-Fi-Based Positioning Systems

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5 min read
Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA

Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQA

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4 min read
XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection

XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection

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4 min read
Not All Language Model Features Are Linear

Not All Language Model Features Are Linear

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Many-Shot In-Context Learning

Many-Shot In-Context Learning

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4 min read
ColorFoil: Investigating Color Blindness in Large Vision and Language Models

ColorFoil: Investigating Color Blindness in Large Vision and Language Models

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4 min read
Levels of AGI for Operationalizing Progress on the Path to AGI

Levels of AGI for Operationalizing Progress on the Path to AGI

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4 min read
The CAP Principle for LLM Serving

The CAP Principle for LLM Serving

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4 min read
Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!

Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!

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5 min read
Self-playing Adversarial Language Game Enhances LLM Reasoning

Self-playing Adversarial Language Game Enhances LLM Reasoning

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4 min read
Unsupervised Evaluation of Code LLMs with Round-Trip Correctness

Unsupervised Evaluation of Code LLMs with Round-Trip Correctness

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4 min read
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