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Dec 15, 2024
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Aug 1, 2024
Aug 1, 2024-
Attention Is All You Need
Paper • 1706.03762 • Published • 98 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 23 -
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Paper • 1907.11692 • Published • 9 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 21
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22 days ago
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Mar 29
Mar 29-
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 • 23 -
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
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Dec 10, 2024
Dec 10, 2024-
AgentInstruct: Toward Generative Teaching with Agentic Flows
Paper • 2407.03502 • Published • 51 -
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
Paper • 2406.08464 • Published • 71 -
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Paper • 2404.14219 • Published • 259 -
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
Paper • 2402.10379 • Published • 31
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May 29
May 29-
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 • 65 -
To Code, or Not To Code? Exploring Impact of Code in Pre-training
Paper • 2408.10914 • Published • 44 -
Automated Design of Agentic Systems
Paper • 2408.08435 • Published • 40
Collection by
May 1
May 1Collection by
Aug 1, 2024
Aug 1, 2024-
Attention Is All You Need
Paper • 1706.03762 • Published • 98 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 23 -
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Paper • 1907.11692 • Published • 9 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 21
Collection by
16 days ago
16 days agoCollection by
22 days ago
22 days agoCollection by
Sep 10
Sep 10Collection by
Mar 29
Mar 29-
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 • 23 -
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
Collection by
Dec 15, 2024
Dec 15, 2024Collection by
Dec 10, 2024
Dec 10, 2024-
AgentInstruct: Toward Generative Teaching with Agentic Flows
Paper • 2407.03502 • Published • 51 -
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
Paper • 2406.08464 • Published • 71 -
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Paper • 2404.14219 • Published • 259 -
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
Paper • 2402.10379 • Published • 31
Collection by
Sep 27, 2024
Sep 27, 2024Collection by
May 29
May 29-
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 • 65 -
To Code, or Not To Code? Exploring Impact of Code in Pre-training
Paper • 2408.10914 • Published • 44 -
Automated Design of Agentic Systems
Paper • 2408.08435 • Published • 40