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Textbooks Are All You Need
Paper • 2306.11644 • Published • 142 -
Textbooks Are All You Need II: phi-1.5 technical report
Paper • 2309.05463 • Published • 87 -
TinyStories: How Small Can Language Models Be and Still Speak Coherent English?
Paper • 2305.07759 • Published • 33 -
Scaling Synthetic Data Creation with 1,000,000,000 Personas
Paper • 2406.20094 • Published • 95
Collections
Discover the best community collections!
Collections including paper arxiv:2308.09583
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WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Paper • 2308.09583 • Published • 7 -
NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO
Text Generation • Updated • 3.14k • 420 -
NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields
Paper • 2404.01300 • Published • 4 -
aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored
Text Generation • Updated • 44.1k • 154
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Boolformer: Symbolic Regression of Logic Functions with Transformers
Paper • 2309.12207 • Published • 11 -
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Paper • 2309.12284 • Published • 18 -
Generative AI for Math: Part I -- MathPile: A Billion-Token-Scale Pretraining Corpus for Math
Paper • 2312.17120 • Published • 25 -
Natural Language Reasoning, A Survey
Paper • 2303.14725 • Published • 1
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Understanding LLMs: A Comprehensive Overview from Training to Inference
Paper • 2401.02038 • Published • 62 -
Learning To Teach Large Language Models Logical Reasoning
Paper • 2310.09158 • Published • 1 -
ChipNeMo: Domain-Adapted LLMs for Chip Design
Paper • 2311.00176 • Published • 8 -
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Paper • 2308.09583 • Published • 7
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KwaiYiiMath: Technical Report
Paper • 2310.07488 • Published • 2 -
Forward-Backward Reasoning in Large Language Models for Mathematical Verification
Paper • 2308.07758 • Published • 4 -
Natural Language Embedded Programs for Hybrid Language Symbolic Reasoning
Paper • 2309.10814 • Published • 3 -
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
Paper • 2310.03731 • Published • 29
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Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Paper • 2310.13961 • Published • 4 -
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
Paper • 2309.09582 • Published • 4 -
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models
Paper • 2310.13127 • Published • 11 -
Evaluating the Robustness to Instructions of Large Language Models
Paper • 2308.14306 • Published • 1
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Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Paper • 2310.13961 • Published • 4 -
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
Paper • 2202.07922 • Published • 1 -
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models
Paper • 2310.13671 • Published • 18 -
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
Paper • 2309.09582 • Published • 4
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Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 39 -
A Zero-Shot Language Agent for Computer Control with Structured Reflection
Paper • 2310.08740 • Published • 14 -
The Consensus Game: Language Model Generation via Equilibrium Search
Paper • 2310.09139 • Published • 12 -
PaLI-3 Vision Language Models: Smaller, Faster, Stronger
Paper • 2310.09199 • Published • 25
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WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct
Paper • 2308.09583 • Published • 7 -
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
Paper • 2306.08568 • Published • 28 -
WizardLM: Empowering Large Language Models to Follow Complex Instructions
Paper • 2304.12244 • Published • 13