Collection by 
Jun 25, 2024
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Discover the best community collections!
Collections including paper arxiv:2406.14491
Collection by 
Jun 24, 2024
Collection by 
Oct 14, 2025
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Bootstrapping Language Models with DPO Implicit Rewards
Paper • 2406.09760 • Published • 41 -
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
Paper • 2406.11931 • Published • 71 -
Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs
Paper • 2406.14544 • Published • 35 -
Instruction Pre-Training: Language Models are Supervised Multitask Learners
Paper • 2406.14491 • Published • 96
Collection by 
Jun 22, 2024
Collection by 
Jun 21, 2024
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Instruction Pre-Training: Language Models are Supervised Multitask Learners
Paper • 2406.14491 • Published • 96 -
Instruction Synthesizer
🐠86Generate instruction-response pairs from text
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instruction-pretrain/InstructLM-1.3B
Text Generation • 1B • Updated • 327 • 43 -
instruction-pretrain/InstructLM-500M
Text Generation • 0.6B • Updated • 93 • 39
Collection by 
Nov 10, 2024
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Instruction Pre-Training: Language Models are Supervised Multitask Learners
Paper • 2406.14491 • Published • 96 -
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
Paper • 2410.23743 • Published • 64 -
NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks
Paper • 2410.20650 • Published • 17
Collection by 
Jun 24, 2024
Collection by 
Jun 22, 2024
Collection by 
Nov 2, 2024
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Instruction Pre-Training: Language Models are Supervised Multitask Learners
Paper • 2406.14491 • Published • 96 -
Better & Faster Large Language Models via Multi-token Prediction
Paper • 2404.19737 • Published • 82 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 72 -
The Prompt Report: A Systematic Survey of Prompting Techniques
Paper • 2406.06608 • Published • 68
Collection by 
Feb 14, 2025
Collection by Jun 25, 2024
Collection by Nov 10, 2024
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Instruction Pre-Training: Language Models are Supervised Multitask Learners
Paper • 2406.14491 • Published • 96 -
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
Paper • 2410.23743 • Published • 64 -
NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks
Paper • 2410.20650 • Published • 17
Collection by Jun 24, 2024
Collection by Jun 24, 2024
Collection by Oct 14, 2025
-
Bootstrapping Language Models with DPO Implicit Rewards
Paper • 2406.09760 • Published • 41 -
DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
Paper • 2406.11931 • Published • 71 -
Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs
Paper • 2406.14544 • Published • 35 -
Instruction Pre-Training: Language Models are Supervised Multitask Learners
Paper • 2406.14491 • Published • 96
Collection by Jun 22, 2024
Collection by Jun 22, 2024
Collection by Nov 2, 2024
-
Instruction Pre-Training: Language Models are Supervised Multitask Learners
Paper • 2406.14491 • Published • 96 -
Better & Faster Large Language Models via Multi-token Prediction
Paper • 2404.19737 • Published • 82 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 72 -
The Prompt Report: A Systematic Survey of Prompting Techniques
Paper • 2406.06608 • Published • 68
Collection by Jun 21, 2024
-
Instruction Pre-Training: Language Models are Supervised Multitask Learners
Paper • 2406.14491 • Published • 96 -
Instruction Synthesizer
🐠86Generate instruction-response pairs from text
-
instruction-pretrain/InstructLM-1.3B
Text Generation • 1B • Updated • 327 • 43 -
instruction-pretrain/InstructLM-500M
Text Generation • 0.6B • Updated • 93 • 39
Collection by Feb 14, 2025