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Collections including paper arxiv:2106.09685
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LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 29 -
Attention Is All You Need
Paper • 1706.03762 • Published • 43 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 46 -
Lost in the Middle: How Language Models Use Long Contexts
Paper • 2307.03172 • Published • 35
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SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
Paper • 2312.15166 • Published • 56 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 241 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 29 -
QLoRA: Efficient Finetuning of Quantized LLMs
Paper • 2305.14314 • Published • 45
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Attention Is All You Need
Paper • 1706.03762 • Published • 43 -
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 29 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 46 -
Lost in the Middle: How Language Models Use Long Contexts
Paper • 2307.03172 • Published • 35
-
Attention Is All You Need
Paper • 1706.03762 • Published • 43 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 11 -
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Paper • 2201.11903 • Published • 9 -
Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 70
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Attention Is All You Need
Paper • 1706.03762 • Published • 43 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 14 -
Universal Language Model Fine-tuning for Text Classification
Paper • 1801.06146 • Published • 6 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 11
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LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery
Paper • 2310.18356 • Published • 22 -
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
Paper • 2310.08659 • Published • 22 -
ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers
Paper • 2309.16119 • Published • 1 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 43
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LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
Paper • 2310.08659 • Published • 22 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 43 -
ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers
Paper • 2309.16119 • Published • 1 -
LoRA ensembles for large language model fine-tuning
Paper • 2310.00035 • Published • 2