Collection by 
Mar 15, 2025
Collections
Discover the best community collections!
Collections including paper arxiv:2309.15223
Collection by 
Jan 30, 2024
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Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning
Paper • 2303.10512 • Published • 4 -
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
Paper • 2205.05638 • Published • 6 -
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention
Paper • 2303.16199 • Published • 4 -
FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning
Paper • 2108.06098 • Published • 4
Collection by 
Sep 29, 2023
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AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models
Paper • 2309.16414 • Published • 18 -
Dynamic ASR Pathways: An Adaptive Masking Approach Towards Efficient Pruning of A Multilingual ASR Model
Paper • 2309.13018 • Published • 9 -
Robust Speech Recognition via Large-Scale Weak Supervision
Paper • 2212.04356 • Published • 54 -
Language models in molecular discovery
Paper • 2309.16235 • Published • 10
Collection by 
May 27, 2024
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Combining Modular Skills in Multitask Learning
Paper • 2202.13914 • Published • 4 -
The Power of Scale for Parameter-Efficient Prompt Tuning
Paper • 2104.08691 • Published • 10 -
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Paper • 2101.00190 • Published • 6 -
GPT Understands, Too
Paper • 2103.10385 • Published • 11
Collection by 
Jun 12, 2024
Collection by 
Aug 7, 2024
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Agents: An Open-source Framework for Autonomous Language Agents
Paper • 2309.07870 • Published • 43 -
Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts
Paper • 2309.07430 • Published • 28 -
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Paper • 2309.08532 • Published • 53 -
Investigating Answerability of LLMs for Long-Form Question Answering
Paper • 2309.08210 • Published • 15
Collection by Mar 15, 2025
Collection by May 27, 2024
-
Combining Modular Skills in Multitask Learning
Paper • 2202.13914 • Published • 4 -
The Power of Scale for Parameter-Efficient Prompt Tuning
Paper • 2104.08691 • Published • 10 -
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Paper • 2101.00190 • Published • 6 -
GPT Understands, Too
Paper • 2103.10385 • Published • 11
Collection by Jan 30, 2024
-
Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning
Paper • 2303.10512 • Published • 4 -
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning
Paper • 2205.05638 • Published • 6 -
LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention
Paper • 2303.16199 • Published • 4 -
FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning
Paper • 2108.06098 • Published • 4
Collection by Jun 12, 2024
Collection by Sep 29, 2023
-
AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language Models
Paper • 2309.16414 • Published • 18 -
Dynamic ASR Pathways: An Adaptive Masking Approach Towards Efficient Pruning of A Multilingual ASR Model
Paper • 2309.13018 • Published • 9 -
Robust Speech Recognition via Large-Scale Weak Supervision
Paper • 2212.04356 • Published • 54 -
Language models in molecular discovery
Paper • 2309.16235 • Published • 10
Collection by Aug 7, 2024
-
Agents: An Open-source Framework for Autonomous Language Agents
Paper • 2309.07870 • Published • 43 -
Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts
Paper • 2309.07430 • Published • 28 -
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Paper • 2309.08532 • Published • 53 -
Investigating Answerability of LLMs for Long-Form Question Answering
Paper • 2309.08210 • Published • 15