Collections
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Collections including paper arxiv:2310.09518
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Mistral 7B
Paper • 2310.06825 • Published • 46 -
Instruction Tuning with Human Curriculum
Paper • 2310.09518 • Published • 3 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 70 -
Instruction-tuned Language Models are Better Knowledge Learners
Paper • 2402.12847 • Published • 26
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SocialIQA: Commonsense Reasoning about Social Interactions
Paper • 1904.09728 • Published • 2 -
PIQA: Reasoning about Physical Commonsense in Natural Language
Paper • 1911.11641 • Published • 2 -
BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Paper • 1905.10044 • Published • 1 -
HellaSwag: Can a Machine Really Finish Your Sentence?
Paper • 1905.07830 • Published • 4
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Measuring the Effects of Data Parallelism on Neural Network Training
Paper • 1811.03600 • Published • 2 -
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost
Paper • 1804.04235 • Published • 2 -
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Paper • 1905.11946 • Published • 3 -
Yi: Open Foundation Models by 01.AI
Paper • 2403.04652 • Published • 63
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A Survey on Data Selection for Language Models
Paper • 2402.16827 • Published • 4 -
Instruction Tuning with Human Curriculum
Paper • 2310.09518 • Published • 3 -
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs
Paper • 2312.05934 • Published • 1 -
Language Models as Agent Models
Paper • 2212.01681 • Published
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Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models
Paper • 2402.14848 • Published • 19 -
Teaching Large Language Models to Reason with Reinforcement Learning
Paper • 2403.04642 • Published • 48 -
How Far Are We from Intelligent Visual Deductive Reasoning?
Paper • 2403.04732 • Published • 22 -
Learning to Reason and Memorize with Self-Notes
Paper • 2305.00833 • Published • 5
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LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
Paper • 2309.12307 • Published • 88 -
NEFTune: Noisy Embeddings Improve Instruction Finetuning
Paper • 2310.05914 • Published • 14 -
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Paper • 2312.15166 • Published • 58 -
Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon
Paper • 2401.03462 • Published • 27