normal dataset stvlynn/Reflection-Chinese-Dataset Viewer • Updated Sep 8, 2024 • 9.17k • 42 • 10 Magpie-Align/Magpie-Reasoning-V1-150K Viewer • Updated Jan 27, 2025 • 150k • 1.02k • 59
paper How Do Large Language Models Acquire Factual Knowledge During Pretraining? Paper • 2406.11813 • Published Jun 17, 2024 • 31 LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs Paper • 2406.15319 • Published Jun 21, 2024 • 64 Iterative Graph Alignment Paper • 2408.16667 • Published Aug 29, 2024 • 2
How Do Large Language Models Acquire Factual Knowledge During Pretraining? Paper • 2406.11813 • Published Jun 17, 2024 • 31
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs Paper • 2406.15319 • Published Jun 21, 2024 • 64
normal dataset stvlynn/Reflection-Chinese-Dataset Viewer • Updated Sep 8, 2024 • 9.17k • 42 • 10 Magpie-Align/Magpie-Reasoning-V1-150K Viewer • Updated Jan 27, 2025 • 150k • 1.02k • 59
paper How Do Large Language Models Acquire Factual Knowledge During Pretraining? Paper • 2406.11813 • Published Jun 17, 2024 • 31 LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs Paper • 2406.15319 • Published Jun 21, 2024 • 64 Iterative Graph Alignment Paper • 2408.16667 • Published Aug 29, 2024 • 2
How Do Large Language Models Acquire Factual Knowledge During Pretraining? Paper • 2406.11813 • Published Jun 17, 2024 • 31
LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs Paper • 2406.15319 • Published Jun 21, 2024 • 64
