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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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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
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
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
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
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
REBUS: A Robust Evaluation Benchmark of Understanding Symbols

REBUS: A Robust Evaluation Benchmark of Understanding Symbols

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4 min read
Empirical influence functions to understand the logic of fine-tuning

Empirical influence functions to understand the logic of fine-tuning

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5 min read
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales

SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales

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4 min read
RAFT: Adapting Language Model to Domain Specific RAG

RAFT: Adapting Language Model to Domain Specific RAG

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4 min read
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs

Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs

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3 min read
SqueezeLLM: Dense-and-Sparse Quantization

SqueezeLLM: Dense-and-Sparse Quantization

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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
Harvard Undergraduate Survey on Generative AI

Harvard Undergraduate Survey on Generative AI

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3 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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