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Collections including paper arxiv:2308.06259

Moral Foundations of Large Language Models

Paper • 2310.15337 • Published Oct 23, 2023 • 1
Specific versus General Principles for Constitutional AI

Paper • 2310.13798 • Published Oct 20, 2023 • 3
Contrastive Prefence Learning: Learning from Human Feedback without RL

Paper • 2310.13639 • Published Oct 20, 2023 • 25
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Paper • 2309.00267 • Published Sep 1, 2023 • 47

Synthetic Data Generation

Textbooks Are All You Need

Paper • 2306.11644 • Published Jun 20, 2023 • 142
Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 87
TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

Paper • 2305.07759 • Published May 12, 2023 • 33
Scaling Synthetic Data Creation with 1,000,000,000 Personas

Paper • 2406.20094 • Published Jun 28, 2024 • 97

Synthetic (text) Dataset Generation

Papers about synthetic dataset generation

Better Synthetic Data by Retrieving and Transforming Existing Datasets

Paper • 2404.14361 • Published Apr 22, 2024 • 2
Generative AI for Synthetic Data Generation: Methods, Challenges and the Future

Paper • 2403.04190 • Published Mar 7, 2024
Best Practices and Lessons Learned on Synthetic Data for Language Models

Paper • 2404.07503 • Published Apr 11, 2024 • 30
A Multi-Faceted Evaluation Framework for Assessing Synthetic Data Generated by Large Language Models

Paper • 2404.14445 • Published Apr 20, 2024

Self-Alignment with Instruction Backtranslation

Paper • 2308.06259 • Published Aug 11, 2023 • 42
LLaMA-Omni: Seamless Speech Interaction with Large Language Models

Paper • 2409.06666 • Published Sep 10, 2024 • 56

Large Language Model Alignment: A Survey

Paper • 2309.15025 • Published Sep 26, 2023 • 2
Aligning Large Language Models with Human: A Survey

Paper • 2307.12966 • Published Jul 24, 2023 • 1
Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Paper • 2305.18290 • Published May 29, 2023 • 52
SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF

Paper • 2310.05344 • Published Oct 9, 2023 • 1

Text Instruction Papers

Self-Instruct: Aligning Language Model with Self Generated Instructions

Paper • 2212.10560 • Published Dec 20, 2022 • 9
Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4

Paper • 2312.16171 • Published Dec 26, 2023 • 34
DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Paper • 2401.14196 • Published Jan 25, 2024 • 56
AlpaCare:Instruction-tuned Large Language Models for Medical Application

Paper • 2310.14558 • Published Oct 23, 2023 • 4

Dataset curation

From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning

Paper • 2308.12032 • Published Aug 23, 2023 • 1
Know thy corpus! Robust methods for digital curation of Web corpora

Paper • 2003.06389 • Published Mar 13, 2020 • 1
Self-Alignment with Instruction Backtranslation

Paper • 2308.06259 • Published Aug 11, 2023 • 42
The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation

Paper • 2305.06156 • Published May 9, 2023 • 2

Dataset pruning/cleaning/dedup

AlpaGasus: Training A Better Alpaca with Fewer Data

Paper • 2307.08701 • Published Jul 17, 2023 • 23
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

Paper • 2303.03915 • Published Mar 7, 2023 • 7
MADLAD-400: A Multilingual And Document-Level Large Audited Dataset

Paper • 2309.04662 • Published Sep 9, 2023 • 23
SlimPajama-DC: Understanding Data Combinations for LLM Training

Paper • 2309.10818 • Published Sep 19, 2023 • 10

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

Paper • 2310.13961 • Published Oct 21, 2023 • 5
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models

Paper • 2310.13127 • Published Oct 19, 2023 • 12
Evaluating the Robustness to Instructions of Large Language Models

Paper • 2308.14306 • Published Aug 28, 2023 • 1

Dataset generation

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

Paper • 2310.13961 • Published Oct 21, 2023 • 5
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 • 19
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4

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