Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Paper
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2310.13961
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Published
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4
Papers: Instruct
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Tuna: Instruction Tuning using Feedback from Large Language Models
Paper • 2310.13385 • Published • 10 -
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models
Paper • 2310.13127 • Published • 11 -
From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning
Paper • 2310.00492 • Published • 2 -
Flacuna: Unleashing the Problem Solving Power of Vicuna using FLAN Fine-Tuning
Paper • 2307.02053 • Published • 23 -
CoEdIT: Text Editing by Task-Specific Instruction Tuning
Paper • 2305.09857 • Published • 7 -
Scaling Instruction-Finetuned Language Models
Paper • 2210.11416 • Published • 7 -
INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language Models
Paper • 2306.04757 • Published • 6 -
Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 71