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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 • 1 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 21 -
On the Opportunities and Risks of Foundation Models
Paper • 2108.07258 • Published • 1 -
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Paper • 2204.07705 • Published • 2
Collections
Discover the best community collections!
Collections including paper arxiv:2009.03300
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Measuring Massive Multitask Language Understanding
Paper • 2009.03300 • Published • 3 -
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
Paper • 2406.01574 • Published • 51 -
GPQA: A Graduate-Level Google-Proof Q&A Benchmark
Paper • 2311.12022 • Published • 32 -
HellaSwag: Can a Machine Really Finish Your Sentence?
Paper • 1905.07830 • Published • 6
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RARR: Researching and Revising What Language Models Say, Using Language Models
Paper • 2210.08726 • Published • 1 -
Hypothesis Search: Inductive Reasoning with Language Models
Paper • 2309.05660 • Published • 2 -
In-context Learning and Induction Heads
Paper • 2209.11895 • Published • 2 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 27
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Gemini: A Family of Highly Capable Multimodal Models
Paper • 2312.11805 • Published • 47 -
Measuring Massive Multitask Language Understanding
Paper • 2009.03300 • Published • 3 -
HellaSwag: Can a Machine Really Finish Your Sentence?
Paper • 1905.07830 • Published • 6 -
PIQA: Reasoning about Physical Commonsense in Natural Language
Paper • 1911.11641 • Published • 3
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Humanity's Last Exam
Paper • 2501.14249 • Published • 76 -
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Paper • 2206.04615 • Published • 5 -
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
Paper • 2210.09261 • Published • 1 -
BIG-Bench Extra Hard
Paper • 2502.19187 • Published • 10
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Re3: Generating Longer Stories With Recursive Reprompting and Revision
Paper • 2210.06774 • Published • 2 -
Constitutional AI: Harmlessness from AI Feedback
Paper • 2212.08073 • Published • 2 -
AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls
Paper • 2402.04253 • Published -
Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate
Paper • 2305.19118 • Published
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Attention Is All You Need
Paper • 1706.03762 • Published • 83 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 21 -
Universal Language Model Fine-tuning for Text Classification
Paper • 1801.06146 • Published • 7 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 16
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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 • 1 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 21 -
On the Opportunities and Risks of Foundation Models
Paper • 2108.07258 • Published • 1 -
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Paper • 2204.07705 • Published • 2
-
Humanity's Last Exam
Paper • 2501.14249 • Published • 76 -
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Paper • 2206.04615 • Published • 5 -
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
Paper • 2210.09261 • Published • 1 -
BIG-Bench Extra Hard
Paper • 2502.19187 • Published • 10
-
Measuring Massive Multitask Language Understanding
Paper • 2009.03300 • Published • 3 -
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
Paper • 2406.01574 • Published • 51 -
GPQA: A Graduate-Level Google-Proof Q&A Benchmark
Paper • 2311.12022 • Published • 32 -
HellaSwag: Can a Machine Really Finish Your Sentence?
Paper • 1905.07830 • Published • 6
-
RARR: Researching and Revising What Language Models Say, Using Language Models
Paper • 2210.08726 • Published • 1 -
Hypothesis Search: Inductive Reasoning with Language Models
Paper • 2309.05660 • Published • 2 -
In-context Learning and Induction Heads
Paper • 2209.11895 • Published • 2 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 27
-
Re3: Generating Longer Stories With Recursive Reprompting and Revision
Paper • 2210.06774 • Published • 2 -
Constitutional AI: Harmlessness from AI Feedback
Paper • 2212.08073 • Published • 2 -
AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls
Paper • 2402.04253 • Published -
Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate
Paper • 2305.19118 • Published
-
Gemini: A Family of Highly Capable Multimodal Models
Paper • 2312.11805 • Published • 47 -
Measuring Massive Multitask Language Understanding
Paper • 2009.03300 • Published • 3 -
HellaSwag: Can a Machine Really Finish Your Sentence?
Paper • 1905.07830 • Published • 6 -
PIQA: Reasoning about Physical Commonsense in Natural Language
Paper • 1911.11641 • Published • 3
-
Attention Is All You Need
Paper • 1706.03762 • Published • 83 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 21 -
Universal Language Model Fine-tuning for Text Classification
Paper • 1801.06146 • Published • 7 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 16