OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models
Paper
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2402.01739
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Published
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26
LLM
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Rethinking Interpretability in the Era of Large Language Models
Paper • 2402.01761 • Published • 18 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 102 -
Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model
Paper • 2402.07827 • Published • 43 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 90 -
Generative Representational Instruction Tuning
Paper • 2402.09906 • Published • 50 -
BitDelta: Your Fine-Tune May Only Be Worth One Bit
Paper • 2402.10193 • Published • 17 -
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Paper • 2312.15166 • Published • 55 -
SPAR: Personalized Content-Based Recommendation via Long Engagement Attention
Paper • 2402.10555 • Published • 31 -
Learning to Learn Faster from Human Feedback with Language Model Predictive Control
Paper • 2402.11450 • Published • 20 -
Reformatted Alignment
Paper • 2402.12219 • Published • 15 -
MobiLlama: Towards Accurate and Lightweight Fully Transparent GPT
Paper • 2402.16840 • Published • 23 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 566 -
Can large language models explore in-context?
Paper • 2403.15371 • Published • 30 -
OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework
Paper • 2404.14619 • Published • 120 -
FLAME: Factuality-Aware Alignment for Large Language Models
Paper • 2405.01525 • Published • 21 -
Octopus v4: Graph of language models
Paper • 2404.19296 • Published • 89 -
KAN: Kolmogorov-Arnold Networks
Paper • 2404.19756 • Published • 90 -
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report
Paper • 2405.00732 • Published • 107