Collection by 
May 3, 2025
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Discover the best community collections!
Collections including paper arxiv:2403.08295
Collection by 
Feb 25
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Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Paper • 2312.00752 • Published • 150 -
Elucidating the Design Space of Diffusion-Based Generative Models
Paper • 2206.00364 • Published • 18 -
GLU Variants Improve Transformer
Paper • 2002.05202 • Published • 5 -
StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 156
Collection by 
Apr 15, 2024
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Gemma: Open Models Based on Gemini Research and Technology
Paper • 2403.08295 • Published • 50 -
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models
Paper • 2403.13372 • Published • 183 -
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM
Paper • 2403.07816 • Published • 45 -
MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks
Paper • 2311.07463 • Published • 15
Collection by 
Mar 14, 2024
Collection by 
Mar 19, 2024
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Scaling Instruction-Finetuned Language Models
Paper • 2210.11416 • Published • 8 -
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Paper • 2312.00752 • Published • 150 -
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Paper • 2403.05530 • Published • 64 -
Yi: Open Foundation Models by 01.AI
Paper • 2403.04652 • Published • 65
Collection by 
Feb 21, 2025
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Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 377 -
Qwen2.5-Coder Technical Report
Paper • 2409.12186 • Published • 154 -
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
Paper • 2409.12122 • Published • 4 -
Qwen2.5-VL Technical Report
Paper • 2502.13923 • Published • 217
Collection by 
Jan 29
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Attention Is All You Need
Paper • 1706.03762 • Published • 120 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 26 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 22 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 20
Collection by 
Mar 14, 2024
Collection by Jul 16, 2024
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An Interdisciplinary Comparison of Sequence Modeling Methods for Next-Element Prediction
Paper • 1811.00062 • Published • 2 -
mT5: A massively multilingual pre-trained text-to-text transformer
Paper • 2010.11934 • Published • 4 -
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance
Paper • 2310.10021 • Published • 2 -
Gemma: Open Models Based on Gemini Research and Technology
Paper • 2403.08295 • Published • 50
Collection by 
Jul 18, 2024
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Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 82 -
Gemma: Open Models Based on Gemini Research and Technology
Paper • 2403.08295 • Published • 50 -
Simple and Scalable Strategies to Continually Pre-train Large Language Models
Paper • 2403.08763 • Published • 51 -
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
Paper • 2401.02954 • Published • 55
Collection by May 3, 2025
Collection by Feb 21, 2025
-
Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 377 -
Qwen2.5-Coder Technical Report
Paper • 2409.12186 • Published • 154 -
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
Paper • 2409.12122 • Published • 4 -
Qwen2.5-VL Technical Report
Paper • 2502.13923 • Published • 217
Collection by Feb 25
-
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Paper • 2312.00752 • Published • 150 -
Elucidating the Design Space of Diffusion-Based Generative Models
Paper • 2206.00364 • Published • 18 -
GLU Variants Improve Transformer
Paper • 2002.05202 • Published • 5 -
StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 156
Collection by Jan 29
-
Attention Is All You Need
Paper • 1706.03762 • Published • 120 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 26 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 22 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 20
Collection by Apr 15, 2024
-
Gemma: Open Models Based on Gemini Research and Technology
Paper • 2403.08295 • Published • 50 -
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models
Paper • 2403.13372 • Published • 183 -
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM
Paper • 2403.07816 • Published • 45 -
MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks
Paper • 2311.07463 • Published • 15
Collection by Mar 14, 2024
Collection by Mar 14, 2024
Collection by Jul 16, 2024
-
An Interdisciplinary Comparison of Sequence Modeling Methods for Next-Element Prediction
Paper • 1811.00062 • Published • 2 -
mT5: A massively multilingual pre-trained text-to-text transformer
Paper • 2010.11934 • Published • 4 -
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance
Paper • 2310.10021 • Published • 2 -
Gemma: Open Models Based on Gemini Research and Technology
Paper • 2403.08295 • Published • 50
Collection by Mar 19, 2024
-
Scaling Instruction-Finetuned Language Models
Paper • 2210.11416 • Published • 8 -
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Paper • 2312.00752 • Published • 150 -
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Paper • 2403.05530 • Published • 64 -
Yi: Open Foundation Models by 01.AI
Paper • 2403.04652 • Published • 65
Collection by Jul 18, 2024
-
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 82 -
Gemma: Open Models Based on Gemini Research and Technology
Paper • 2403.08295 • Published • 50 -
Simple and Scalable Strategies to Continually Pre-train Large Language Models
Paper • 2403.08763 • Published • 51 -
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
Paper • 2401.02954 • Published • 55