Collection by
21 days ago
21 days ago
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Discover the best community collections!
Collections including paper arxiv:2005.14165
Collection by
Oct 6, 2024
Oct 6, 2024
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Attention Is All You Need
Paper • 1706.03762 • Published • 50 -
Playing Atari with Deep Reinforcement Learning
Paper • 1312.5602 • Published -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 16 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 12
Collection by
about 22 hours ago
about 22 hours ago
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Instruction Tuning for Large Language Models: A Survey
Paper • 2308.10792 • Published • 1 -
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Paper • 2403.14608 • Published -
Efficient Large Language Models: A Survey
Paper • 2312.03863 • Published • 3 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 30
Collection by
about 16 hours ago
about 16 hours ago
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Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 340 -
Qwen2.5-Coder Technical Report
Paper • 2409.12186 • Published • 140 -
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
Paper • 2409.12122 • Published • 3 -
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
Paper • 2401.02954 • Published • 41
Collection by
Sep 27, 2024
Sep 27, 2024
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SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
Paper • 2408.15545 • Published • 35 -
Controllable Text Generation for Large Language Models: A Survey
Paper • 2408.12599 • Published • 64 -
To Code, or Not To Code? Exploring Impact of Code in Pre-training
Paper • 2408.10914 • Published • 42 -
Automated Design of Agentic Systems
Paper • 2408.08435 • Published • 39
Collection by
Jun 8, 2024
Jun 8, 2024
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Attention Is All You Need
Paper • 1706.03762 • Published • 50 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 12 -
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
Paper • 2305.13245 • Published • 5 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 243
Collection by
Dec 10, 2024
Dec 10, 2024
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Attention Is All You Need
Paper • 1706.03762 • Published • 50 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 13 -
Efficient Tool Use with Chain-of-Abstraction Reasoning
Paper • 2401.17464 • Published • 17 -
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts
Paper • 2407.21770 • Published • 22
Collection by
Oct 30, 2024
Oct 30, 2024
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Attention Is All You Need
Paper • 1706.03762 • Published • 50 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 16 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 14 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 12
Collection by
Nov 12, 2024
Nov 12, 2024
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Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Paper • 2404.02258 • Published • 104 -
Textbooks Are All You Need
Paper • 2306.11644 • Published • 143 -
Jamba: A Hybrid Transformer-Mamba Language Model
Paper • 2403.19887 • Published • 107 -
Large Language Models Struggle to Learn Long-Tail Knowledge
Paper • 2211.08411 • Published • 3
Collection by
Mar 28, 2024
Mar 28, 2024
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Long-form factuality in large language models
Paper • 2403.18802 • Published • 25 -
Attention Is All You Need
Paper • 1706.03762 • Published • 50 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 12 -
A Survey of GPT-3 Family Large Language Models Including ChatGPT and GPT-4
Paper • 2310.12321 • Published • 1