Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 77
Research Papers
A collection of papers focused on LLM
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ToolTalk: Evaluating Tool-Usage in a Conversational Setting
Paper • 2311.10775 • Published • 9 -
Adapters: A Unified Library for Parameter-Efficient and Modular Transfer Learning
Paper • 2311.11077 • Published • 29 -
MultiLoRA: Democratizing LoRA for Better Multi-Task Learning
Paper • 2311.11501 • Published • 37 -
System 2 Attention (is something you might need too)
Paper • 2311.11829 • Published • 43 -
Contrastive Chain-of-Thought Prompting
Paper • 2311.09277 • Published • 35 -
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Paper • 2312.00752 • Published • 150 -
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Paper • 2312.06585 • Published • 29 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 109 -
Generative Representational Instruction Tuning
Paper • 2402.09906 • Published • 54 -
A Tale of Tails: Model Collapse as a Change of Scaling Laws
Paper • 2402.07043 • Published • 15 -
Model Editing with Canonical Examples
Paper • 2402.06155 • Published • 13 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 117 -
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Paper • 2401.18059 • Published • 48 -
Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding
Paper • 2401.12954 • Published • 32 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 153 -
Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
Paper • 2401.01335 • Published • 69 -
Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws
Paper • 2401.00448 • Published • 30