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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 • 17 -
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
Collections
Discover the best community collections!
Collections including paper arxiv:2107.03374
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Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 352 -
Qwen2.5-Coder Technical Report
Paper • 2409.12186 • Published • 141 -
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
Paper • 2409.12122 • Published • 3 -
Qwen2.5-VL Technical Report
Paper • 2502.13923 • Published • 162
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A Survey on Language Models for Code
Paper • 2311.07989 • Published • 22 -
SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
Paper • 2310.06770 • Published • 5 -
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
Paper • 2401.03065 • Published • 11 -
Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming
Paper • 2402.14261 • Published • 11
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Gemini: A Family of Highly Capable Multimodal Models
Paper • 2312.11805 • Published • 45 -
Measuring Massive Multitask Language Understanding
Paper • 2009.03300 • Published • 3 -
HellaSwag: Can a Machine Really Finish Your Sentence?
Paper • 1905.07830 • Published • 4 -
PIQA: Reasoning about Physical Commonsense in Natural Language
Paper • 1911.11641 • Published • 2
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cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser
Text Generation • Updated • 2.42k • 119 -
Evaluating Large Language Models Trained on Code
Paper • 2107.03374 • Published • 8 -
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Paper • 2002.08155 • Published • 2 -
code2seq: Generating Sequences from Structured Representations of Code
Paper • 1808.01400 • Published • 2
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Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection
Paper • 2304.01238 • Published • 2 -
The FinBen: An Holistic Financial Benchmark for Large Language Models
Paper • 2402.12659 • Published • 21 -
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
Paper • 2402.13249 • Published • 13 -
Evaluating Large Language Models Trained on Code
Paper • 2107.03374 • Published • 8
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SMOTE: Synthetic Minority Over-sampling Technique
Paper • 1106.1813 • Published • 1 -
Scikit-learn: Machine Learning in Python
Paper • 1201.0490 • Published • 1 -
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Paper • 1406.1078 • Published -
Distributed Representations of Sentences and Documents
Paper • 1405.4053 • Published
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StarCoder: may the source be with you!
Paper • 2305.06161 • Published • 31 -
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
Paper • 2306.08568 • Published • 28 -
SantaCoder: don't reach for the stars!
Paper • 2301.03988 • Published • 7 -
DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
Paper • 2401.14196 • Published • 60