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Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset
Paper • 2403.09029 • Published • 56 -
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
Paper • 2403.12968 • Published • 26 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 73 -
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
Paper • 2403.09629 • Published • 79
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Simple and Scalable Strategies to Continually Pre-train Large Language Models
Paper • 2403.08763 • Published • 52 -
Jamba: A Hybrid Transformer-Mamba Language Model
Paper • 2403.19887 • Published • 112 -
Transformer-Lite: High-efficiency Deployment of Large Language Models on Mobile Phone GPUs
Paper • 2403.20041 • Published • 35 -
Advancing LLM Reasoning Generalists with Preference Trees
Paper • 2404.02078 • Published • 47
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10 days ago
10 days ago-
Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset
Paper • 2403.09029 • Published • 56 -
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
Paper • 2403.12968 • Published • 26 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 73 -
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
Paper • 2403.09629 • Published • 79
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Jul 21, 2024
Jul 21, 2024-
Simple and Scalable Strategies to Continually Pre-train Large Language Models
Paper • 2403.08763 • Published • 52 -
Jamba: A Hybrid Transformer-Mamba Language Model
Paper • 2403.19887 • Published • 112 -
Transformer-Lite: High-efficiency Deployment of Large Language Models on Mobile Phone GPUs
Paper • 2403.20041 • Published • 35 -
Advancing LLM Reasoning Generalists with Preference Trees
Paper • 2404.02078 • Published • 47
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