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Collections including paper arxiv:2401.16380

AI Paper of the Day

A collection of papers that I think are interesting, one added each day

Can Large Language Models Understand Context?

Paper • 2402.00858 • Published Feb 1 • 20
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1 • 74
Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 135
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity

Paper • 2401.17072 • Published Jan 30 • 22

Dataset generation

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

Paper • 2310.13961 • Published Oct 21, 2023 • 4
ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Paper • 2202.07922 • Published Feb 16, 2022 • 1
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models

Paper • 2310.13671 • Published Oct 20, 2023 • 17
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Paper • 2401.16380 • Published Jan 29 • 46
Best Practices and Lessons Learned on Synthetic Data for Language Models

Paper • 2404.07503 • Published Apr 11 • 25
WizardLM: Empowering Large Language Models to Follow Complex Instructions

Paper • 2304.12244 • Published Apr 24, 2023 • 13
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Paper • 2402.13064 • Published Feb 20 • 45

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Paper • 2401.16380 • Published Jan 29 • 46

Synthetic Data Generation

A curated list of papers focusing on synthetic data generation

Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Paper • 2402.13064 • Published Feb 20 • 45
Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 84
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows

Paper • 2402.10379 • Published Feb 16 • 27
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Paper • 2312.06585 • Published Dec 11, 2023 • 26

How to Train Data-Efficient LLMs

Paper • 2402.09668 • Published Feb 15 • 34
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Paper • 2401.16380 • Published Jan 29 • 46

Efficient Training

Rethinking Optimization and Architecture for Tiny Language Models

Paper • 2402.02791 • Published Feb 5 • 12
Specialized Language Models with Cheap Inference from Limited Domain Data

Paper • 2402.01093 • Published Feb 2 • 45
Scavenging Hyena: Distilling Transformers into Long Convolution Models

Paper • 2401.17574 • Published Jan 31 • 14
Understanding LLMs: A Comprehensive Overview from Training to Inference

Paper • 2401.02038 • Published Jan 4 • 59

Text Instruction Papers

Self-Instruct: Aligning Language Model with Self Generated Instructions

Paper • 2212.10560 • Published Dec 20, 2022 • 6
Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

Paper • 2312.16171 • Published Dec 26, 2023 • 30
DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Paper • 2401.14196 • Published Jan 25 • 44
AlpaCare:Instruction-tuned Large Language Models for Medical Application

Paper • 2310.14558 • Published Oct 23, 2023 • 4

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Paper • 2401.16380 • Published Jan 29 • 46

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 135
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16 • 19
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17 • 27
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Paper • 2401.16380 • Published Jan 29 • 46

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