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Sep 20
Sep 20
Collections
Discover the best community collections!
Collections including paper arxiv:2401.02731
Collection by
Aug 17
Aug 17
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A Survey on Data Selection for Language Models
Paper • 2402.16827 • Published • 4 -
Instruction Tuning with Human Curriculum
Paper • 2310.09518 • Published • 3 -
Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs
Paper • 2312.05934 • Published • 1 -
Language Models as Agent Models
Paper • 2212.01681 • Published
Collection by
Feb 22
Feb 22
Collection by
Jul 2
Jul 2
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AnimateLCM: Accelerating the Animation of Personalized Diffusion Models and Adapters with Decoupled Consistency Learning
Paper • 2402.00769 • Published • 20 -
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module
Paper • 2311.05556 • Published • 80 -
LongAlign: A Recipe for Long Context Alignment of Large Language Models
Paper • 2401.18058 • Published • 21 -
Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper • 2401.17464 • Published • 16
Collection by
May 24
May 24
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DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
Paper • 2401.02954 • Published • 40 -
Qwen Technical Report
Paper • 2309.16609 • Published • 34 -
GPT-4 Technical Report
Paper • 2303.08774 • Published • 5 -
Gemini: A Family of Highly Capable Multimodal Models
Paper • 2312.11805 • Published • 45
Collection by
Jul 9
Jul 9
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QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models
Paper • 2310.16795 • Published • 26 -
Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference
Paper • 2308.12066 • Published • 4 -
Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference
Paper • 2303.06182 • Published • 1 -
EvoMoE: An Evolutional Mixture-of-Experts Training Framework via Dense-To-Sparse Gate
Paper • 2112.14397 • Published • 1
Collection by
Jul 8
Jul 8
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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 • 44 -
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
Collection by
Jul 22
Jul 22
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Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Paper • 2310.13961 • Published • 4 -
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
Paper • 2309.09582 • Published • 4 -
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models
Paper • 2310.13127 • Published • 11 -
Evaluating the Robustness to Instructions of Large Language Models
Paper • 2308.14306 • Published • 1