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Attention Is All You Need
Paper • 1706.03762 • Published • 69 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 14 -
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Paper • 2201.11903 • Published • 13 -
Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 76
Collections
Discover the best community collections!
Collections including paper arxiv:2005.14165
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DeepSeek-R1 Thoughtology: Let's <think> about LLM Reasoning
Paper • 2504.07128 • Published • 85 -
Byte Latent Transformer: Patches Scale Better Than Tokens
Paper • 2412.09871 • Published • 106 -
BitNet b1.58 2B4T Technical Report
Paper • 2504.12285 • Published • 73 -
FAST: Efficient Action Tokenization for Vision-Language-Action Models
Paper • 2501.09747 • Published • 25
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Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
Paper • 2304.09842 • Published • 2 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 27 -
Gorilla: Large Language Model Connected with Massive APIs
Paper • 2305.15334 • Published • 5 -
Reflexion: Language Agents with Verbal Reinforcement Learning
Paper • 2303.11366 • Published • 5
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Attention Is All You Need
Paper • 1706.03762 • Published • 69 -
Playing Atari with Deep Reinforcement Learning
Paper • 1312.5602 • Published -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 19 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 14
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Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 368 -
Qwen2.5-Coder Technical Report
Paper • 2409.12186 • Published • 149 -
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 • 193
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Attention Is All You Need
Paper • 1706.03762 • Published • 69 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 19 -
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Paper • 1910.10683 • Published • 14 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 14
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Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning
Paper • 2211.04325 • Published -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 19 -
On the Opportunities and Risks of Foundation Models
Paper • 2108.07258 • Published -
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Paper • 2204.07705 • Published • 1
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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 • 4 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 32
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SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
Paper • 2408.15545 • Published • 38 -
Controllable Text Generation for Large Language Models: A Survey
Paper • 2408.12599 • Published • 66 -
To Code, or Not To Code? Exploring Impact of Code in Pre-training
Paper • 2408.10914 • Published • 43 -
Automated Design of Agentic Systems
Paper • 2408.08435 • Published • 41
-
Attention Is All You Need
Paper • 1706.03762 • Published • 69 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 14 -
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Paper • 2201.11903 • Published • 13 -
Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 76
-
Attention Is All You Need
Paper • 1706.03762 • Published • 69 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 19 -
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Paper • 1910.10683 • Published • 14 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 14
-
DeepSeek-R1 Thoughtology: Let's <think> about LLM Reasoning
Paper • 2504.07128 • Published • 85 -
Byte Latent Transformer: Patches Scale Better Than Tokens
Paper • 2412.09871 • Published • 106 -
BitNet b1.58 2B4T Technical Report
Paper • 2504.12285 • Published • 73 -
FAST: Efficient Action Tokenization for Vision-Language-Action Models
Paper • 2501.09747 • Published • 25
-
Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning
Paper • 2211.04325 • Published -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 19 -
On the Opportunities and Risks of Foundation Models
Paper • 2108.07258 • Published -
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Paper • 2204.07705 • Published • 1
-
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models
Paper • 2304.09842 • Published • 2 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 27 -
Gorilla: Large Language Model Connected with Massive APIs
Paper • 2305.15334 • Published • 5 -
Reflexion: Language Agents with Verbal Reinforcement Learning
Paper • 2303.11366 • Published • 5
-
Attention Is All You Need
Paper • 1706.03762 • Published • 69 -
Playing Atari with Deep Reinforcement Learning
Paper • 1312.5602 • Published -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 19 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 14
-
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 • 4 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 32
-
Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 368 -
Qwen2.5-Coder Technical Report
Paper • 2409.12186 • Published • 149 -
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 • 193
-
SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
Paper • 2408.15545 • Published • 38 -
Controllable Text Generation for Large Language Models: A Survey
Paper • 2408.12599 • Published • 66 -
To Code, or Not To Code? Exploring Impact of Code in Pre-training
Paper • 2408.10914 • Published • 43 -
Automated Design of Agentic Systems
Paper • 2408.08435 • Published • 41