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Collections including paper arxiv:2309.09582

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

HQ-Edit: A High-Quality Dataset for Instruction-based Image Editing

Paper • 2404.09990 • Published Apr 15 • 11
Tango 2: Aligning Diffusion-based Text-to-Audio Generations through Direct Preference Optimization

Paper • 2404.09956 • Published Apr 15 • 10
TextHawk: Exploring Efficient Fine-Grained Perception of Multimodal Large Language Models

Paper • 2404.09204 • Published Apr 14 • 10
Taming Latent Diffusion Model for Neural Radiance Field Inpainting

Paper • 2404.09995 • Published Apr 15 • 6

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 • 37
SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF

Paper • 2310.05344 • Published Oct 9, 2023 • 1

Automated Annotation with Generative AI Requires Validation

Paper • 2306.00176 • Published May 31, 2023 • 1
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4
PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation

Paper • 2310.14192 • Published Oct 22, 2023 • 1
ICLEF: In-Context Learning with Expert Feedback for Explainable Style Transfer

Paper • 2309.08583 • Published Sep 15, 2023 • 1

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

Paper • 2310.13961 • Published Oct 21, 2023 • 4
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 • 10
Evaluating the Robustness to Instructions of Large Language Models

Paper • 2308.14306 • Published Aug 28, 2023 • 1

Research Papers

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

Paper • 2310.13127 • Published Oct 19, 2023 • 10
Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

Paper • 2310.13961 • Published Oct 21, 2023 • 4
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 • 19

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