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GenQA: Generating Millions of Instructions from a Handful of Prompts

university
https://arxiv.org/abs/2406.10323
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AI & ML interests

GenQA is a large scale synthetic instruction tuning dataset created using a novel generator prompt strategy to ensure quality and diversity.

John Kirchenbauer's profile picture

jwkirchenbauer 
authored a paper about 1 year ago

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Paper • 2502.05171 • Published Feb 7, 2025 • 154
jwkirchenbauer 
authored a paper almost 2 years ago

Transformers Can Do Arithmetic with the Right Embeddings

Paper • 2405.17399 • Published May 27, 2024 • 54
jwkirchenbauer 
authored 4 papers almost 3 years ago

Bring Your Own Data! Self-Supervised Evaluation for Large Language Models

Paper • 2306.13651 • Published Jun 23, 2023 • 16

On the Reliability of Watermarks for Large Language Models

Paper • 2306.04634 • Published Jun 7, 2023 • 6

A Watermark for Large Language Models

Paper • 2301.10226 • Published Jan 24, 2023 • 9

Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust

Paper • 2305.20030 • Published May 31, 2023 • 9
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