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Collections including paper arxiv:2310.13127

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

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 146
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17, 2024 • 30
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16, 2024 • 22
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10, 2024 • 69

Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model

Paper • 2212.09146 • Published Dec 18, 2022 • 3
RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models

Paper • 2308.10633 • Published Aug 21, 2023 • 1
MemeCap: A Dataset for Captioning and Interpreting Memes

Paper • 2305.13703 • Published May 23, 2023
Contrastive Learning for Inference in Dialogue

Paper • 2310.12467 • Published Oct 19, 2023

Papers: Instruct

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

Paper • 2310.13961 • Published Oct 21, 2023 • 5
Tuna: Instruction Tuning using Feedback from Large Language Models

Paper • 2310.13385 • Published Oct 20, 2023 • 11
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models

Paper • 2310.13127 • Published Oct 19, 2023 • 12
From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning

Paper • 2310.00492 • Published Sep 30, 2023 • 2

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

Research Papers

Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models

Paper • 2310.13127 • Published Oct 19, 2023 • 12
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
Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI

Paper • 2401.14019 • Published Jan 25, 2024 • 23

Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models

Paper • 2310.13127 • Published Oct 19, 2023 • 12

LLM Instructions

Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models

Paper • 2310.13127 • Published Oct 19, 2023 • 12
Tuna: Instruction Tuning using Feedback from Large Language Models

Paper • 2310.13385 • Published Oct 20, 2023 • 11

Data enrichment methods for pre-training and fine-tuning

Adapting Large Language Models via Reading Comprehension

Paper • 2309.09530 • Published Sep 18, 2023 • 77
RLAIF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Paper • 2309.00267 • Published Sep 1, 2023 • 47
Self-Alignment with Instruction Backtranslation

Paper • 2308.06259 • Published Aug 11, 2023 • 42
Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor

Paper • 2212.09689 • Published Dec 19, 2022 • 1

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