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

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Gated Linear Attention Transformers with Hardware-Efficient Training

Gated Linear Attention Transformers with Hardware-Efficient Training

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4 min read
Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning

Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning

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5 min read
To Believe or Not to Believe Your LLM

To Believe or Not to Believe Your LLM

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4 min read
LLMs cannot find reasoning errors, but can correct them given the error location

LLMs cannot find reasoning errors, but can correct them given the error location

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5 min read
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

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4 min read
Deep Learning for Camera Calibration and Beyond: A Survey

Deep Learning for Camera Calibration and Beyond: A Survey

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4 min read
The Geometry of Categorical and Hierarchical Concepts in Large Language Models

The Geometry of Categorical and Hierarchical Concepts in Large Language Models

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4 min read
Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models

Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language Models

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5 min read
Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?

Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?

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4 min read
CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification

CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification

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3 min read
REBUS: A Robust Evaluation Benchmark of Understanding Symbols

REBUS: A Robust Evaluation Benchmark of Understanding Symbols

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4 min read
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

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4 min read
Contrastive Learning and Mixture of Experts Enables Precise Vector Embeddings

Contrastive Learning and Mixture of Experts Enables Precise Vector Embeddings

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4 min read
Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks

Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks

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4 min read
ChatDev: Communicative Agents for Software Development

ChatDev: Communicative Agents for Software Development

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3 min read
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