폴더: 20.AI/27.Technique

2026년 7월 21일

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

2026년 7월 21일

Efficient Memory Management for Large Language Model Serving with PagedAttention

2026년 7월 21일

Scaling Instruction-Finetuned Language Models

2026년 7월 21일

A Review of Sparse Expert Models in Deep Learning

2026년 7월 21일

Training Compute-Optimal Large Language Models (Chinchilla)

2026년 7월 21일

Training language models to follow instructions with human feedback

2026년 7월 21일

Multitask Prompted Training Enables Zero-Shot Task Generalization

2026년 7월 21일

Fast Inference from Transformers via Speculative Decoding

2026년 7월 21일

00.Technique MOC

technique

2026년 7월 21일

MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks

2026년 7월 21일

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

2026년 7월 21일

Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

2026년 7월 21일

Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

2026년 7월 21일

Constitutional AI: Harmlessness from AI Feedback

2026년 7월 21일

In-Context Retrieval-Augmented Language Models

2026년 7월 21일

RoFormer: Enhanced Transformer with Rotary Position Embedding

2026년 7월 21일

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

2026년 7월 21일

Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference

2026년 7월 21일

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

2026년 7월 21일

REALM: Retrieval-Augmented Language Model Pre-Training

2026년 7월 21일

Scaling Laws for Neural Language Models

2026년 7월 21일

AgentBench: Evaluating LLMs as Agents

2026년 7월 21일

ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems

2026년 7월 21일

Finetuned Language Models Are Zero-Shot Learners

2026년 7월 21일

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

2026년 7월 21일

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폴더: 20.AI/27.Technique

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Efficient Memory Management for Large Language Model Serving with PagedAttention

Scaling Instruction-Finetuned Language Models

A Review of Sparse Expert Models in Deep Learning

Training Compute-Optimal Large Language Models (Chinchilla)

Training language models to follow instructions with human feedback

Multitask Prompted Training Enables Zero-Shot Task Generalization

Fast Inference from Transformers via Speculative Decoding

00.Technique MOC

MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Constitutional AI: Harmlessness from AI Feedback

In-Context Retrieval-Augmented Language Models

RoFormer: Enhanced Transformer with Rotary Position Embedding

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

REALM: Retrieval-Augmented Language Model Pre-Training

Scaling Laws for Neural Language Models

AgentBench: Evaluating LLMs as Agents

ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems

Finetuned Language Models Are Zero-Shot Learners

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Scaling Data-Constrained Language Models