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Nov 20, 2024
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Collections including paper arxiv:2308.07633
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Feb 24, 2024
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Towards an Understanding of Large Language Models in Software Engineering Tasks
Paper • 2308.11396 • Published • 1 -
Several categories of Large Language Models (LLMs): A Short Survey
Paper • 2307.10188 • Published • 1 -
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions
Paper • 2309.01157 • Published • 1 -
A Survey on Large Language Models for Recommendation
Paper • 2305.19860 • Published • 1
Collection by
Feb 18, 2024
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LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
Paper • 2310.08659 • Published • 27 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 45 -
Norm Tweaking: High-performance Low-bit Quantization of Large Language Models
Paper • 2309.02784 • Published • 2 -
ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers
Paper • 2309.16119 • Published • 1
Collection by
Aug 27, 2024
Collection by
Sep 23, 2024
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Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time
Paper • 2310.17157 • Published • 14 -
Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers
Paper • 2305.15805 • Published • 1 -
Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt
Paper • 2305.11186 • Published • 1 -
Composable Sparse Fine-Tuning for Cross-Lingual Transfer
Paper • 2110.07560 • Published • 2
Collection by
Feb 7, 2024
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Democratizing Reasoning Ability: Tailored Learning from Large Language Model
Paper • 2310.13332 • Published • 16 -
Teaching Language Models to Self-Improve through Interactive Demonstrations
Paper • 2310.13522 • Published • 12 -
Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection
Paper • 2310.05035 • Published • 1 -
Tuna: Instruction Tuning using Feedback from Large Language Models
Paper • 2310.13385 • Published • 10
Collection by
Nov 20, 2024
Collection by
Aug 27, 2024
Collection by
Feb 24, 2024
-
Towards an Understanding of Large Language Models in Software Engineering Tasks
Paper • 2308.11396 • Published • 1 -
Several categories of Large Language Models (LLMs): A Short Survey
Paper • 2307.10188 • Published • 1 -
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions
Paper • 2309.01157 • Published • 1 -
A Survey on Large Language Models for Recommendation
Paper • 2305.19860 • Published • 1
Collection by
Sep 23, 2024
-
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time
Paper • 2310.17157 • Published • 14 -
Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers
Paper • 2305.15805 • Published • 1 -
Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt
Paper • 2305.11186 • Published • 1 -
Composable Sparse Fine-Tuning for Cross-Lingual Transfer
Paper • 2110.07560 • Published • 2
Collection by
Feb 18, 2024
-
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models
Paper • 2310.08659 • Published • 27 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 45 -
Norm Tweaking: High-performance Low-bit Quantization of Large Language Models
Paper • 2309.02784 • Published • 2 -
ModuLoRA: Finetuning 3-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers
Paper • 2309.16119 • Published • 1
Collection by
Feb 7, 2024
-
Democratizing Reasoning Ability: Tailored Learning from Large Language Model
Paper • 2310.13332 • Published • 16 -
Teaching Language Models to Self-Improve through Interactive Demonstrations
Paper • 2310.13522 • Published • 12 -
Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection
Paper • 2310.05035 • Published • 1 -
Tuna: Instruction Tuning using Feedback from Large Language Models
Paper • 2310.13385 • Published • 10