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Apr 5, 2024
Apr 5, 2024
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Discover the best community collections!
Collections including paper arxiv:2404.03592
Collection by
Oct 20, 2024
Oct 20, 2024
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The Unreasonable Ineffectiveness of the Deeper Layers
Paper • 2403.17887 • Published • 79 -
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Paper • 2404.02258 • Published • 104 -
ReFT: Representation Finetuning for Language Models
Paper • 2404.03592 • Published • 93 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 61
Collection by
May 9, 2024
May 9, 2024
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Jamba: A Hybrid Transformer-Mamba Language Model
Paper • 2403.19887 • Published • 107 -
sDPO: Don't Use Your Data All at Once
Paper • 2403.19270 • Published • 41 -
ViTAR: Vision Transformer with Any Resolution
Paper • 2403.18361 • Published • 54 -
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
Paper • 2403.18814 • Published • 47
Collection by
Jul 14, 2024
Jul 14, 2024
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BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text
Paper • 2403.18421 • Published • 23 -
Long-form factuality in large language models
Paper • 2403.18802 • Published • 25 -
stanford-crfm/BioMedLM
Text Generation • Updated • 4.02k • 411 -
Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Paper • 2305.18290 • Published • 52
Collection by
Apr 13, 2024
Apr 13, 2024
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PERL: Parameter Efficient Reinforcement Learning from Human Feedback
Paper • 2403.10704 • Published • 58 -
ReFT: Representation Finetuning for Language Models
Paper • 2404.03592 • Published • 93 -
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models
Paper • 2404.07973 • Published • 31 -
Zephyr: Direct Distillation of LM Alignment
Paper • 2310.16944 • Published • 122
Collection by
Dec 22, 2024
Dec 22, 2024
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Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
Paper • 2310.20587 • Published • 18 -
SELF: Language-Driven Self-Evolution for Large Language Model
Paper • 2310.00533 • Published • 2 -
QLoRA: Efficient Finetuning of Quantized LLMs
Paper • 2305.14314 • Published • 48 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 44
Collection by
Dec 11, 2024
Dec 11, 2024
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GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Paper • 2403.03507 • Published • 185 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 69 -
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models
Paper • 2403.13372 • Published • 65 -
InternLM2 Technical Report
Paper • 2403.17297 • Published • 31
Collection by
Apr 8, 2024
Apr 8, 2024
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GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Paper • 2403.03507 • Published • 185 -
QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models
Paper • 2309.14717 • Published • 44 -
ReFT: Representation Finetuning for Language Models
Paper • 2404.03592 • Published • 93
Collection by
Apr 7, 2024
Apr 7, 2024
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Efficient Few-Shot Learning Without Prompts
Paper • 2209.11055 • Published • 3 -
Parameter-Efficient Transfer Learning for NLP
Paper • 1902.00751 • Published • 1 -
GPT Understands, Too
Paper • 2103.10385 • Published • 8 -
The Power of Scale for Parameter-Efficient Prompt Tuning
Paper • 2104.08691 • Published • 10
Collection by
Sep 9, 2024
Sep 9, 2024
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Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 53 -
Beyond Language Models: Byte Models are Digital World Simulators
Paper • 2402.19155 • Published • 50 -
StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 137 -
Simple linear attention language models balance the recall-throughput tradeoff
Paper • 2402.18668 • Published • 19