RAFT: Adapting Language Model to Domain Specific RAG
Paper
• 2403.10131 • Published
• 72
RAG for LLMs
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Enhancing Large Language Model Performance To Answer Questions and Extract Information More Accurately
Paper • 2402.01722 • Published -
Fine Tuning vs. Retrieval Augmented Generation for Less Popular Knowledge
Paper • 2403.01432 • Published • 3 -
Instruction-tuned Language Models are Better Knowledge Learners
Paper • 2402.12847 • Published • 26 -
Unsupervised LLM Adaptation for Question Answering
Paper • 2402.12170 • Published -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 627 -
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Paper • 2403.05530 • Published • 65 -
QLoRA: Efficient Finetuning of Quantized LLMs
Paper • 2305.14314 • Published • 59 -
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 78 -
Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity
Paper • 2403.14403 • Published • 7 -
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
Paper • 2405.05904 • Published • 6 -
How Do Large Language Models Acquire Factual Knowledge During Pretraining?
Paper • 2406.11813 • Published • 31 -
Quantifying the Carbon Emissions of Machine Learning
Paper • 1910.09700 • Published • 36