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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 84 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
Collections
Discover the best community collections!
Collections including paper arXiv:2407.03502
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Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level
Paper • 2411.03562 • Published • 68 -
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
Paper • 2408.06292 • Published • 126 -
MALT: Improving Reasoning with Multi-Agent LLM Training
Paper • 2412.01928 • Published • 45 -
AgentInstruct: Toward Generative Teaching with Agentic Flows
Paper • 2407.03502 • Published • 51
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Textbooks Are All You Need
Paper • 2306.11644 • Published • 149 -
Textbooks Are All You Need II: phi-1.5 technical report
Paper • 2309.05463 • Published • 88 -
TinyStories: How Small Can Language Models Be and Still Speak Coherent English?
Paper • 2305.07759 • Published • 36 -
Scaling Synthetic Data Creation with 1,000,000,000 Personas
Paper • 2406.20094 • Published • 104
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A Comparative Study on Automatic Coding of Medical Letters with Explainability
Paper • 2407.13638 • Published • 5 -
Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence
Paper • 2407.07061 • Published • 27 -
AgentInstruct: Toward Generative Teaching with Agentic Flows
Paper • 2407.03502 • Published • 51 -
Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions
Paper • 2407.06723 • Published • 11
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PDFTriage: Question Answering over Long, Structured Documents
Paper • 2309.08872 • Published • 53 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 81 -
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 41 -
Context-Aware Meta-Learning
Paper • 2310.10971 • Published • 17
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Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents
Paper • 2507.04009 • Published • 50 -
AgentInstruct: Toward Generative Teaching with Agentic Flows
Paper • 2407.03502 • Published • 51 -
Open Data Synthesis For Deep Research
Paper • 2509.00375 • Published • 68
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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 • 258 -
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
Paper • 2402.10379 • Published • 31
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 84 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
-
Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents
Paper • 2507.04009 • Published • 50 -
AgentInstruct: Toward Generative Teaching with Agentic Flows
Paper • 2407.03502 • Published • 51 -
Open Data Synthesis For Deep Research
Paper • 2509.00375 • Published • 68
-
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level
Paper • 2411.03562 • Published • 68 -
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
Paper • 2408.06292 • Published • 126 -
MALT: Improving Reasoning with Multi-Agent LLM Training
Paper • 2412.01928 • Published • 45 -
AgentInstruct: Toward Generative Teaching with Agentic Flows
Paper • 2407.03502 • Published • 51
-
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 • 258 -
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
Paper • 2402.10379 • Published • 31
-
Textbooks Are All You Need
Paper • 2306.11644 • Published • 149 -
Textbooks Are All You Need II: phi-1.5 technical report
Paper • 2309.05463 • Published • 88 -
TinyStories: How Small Can Language Models Be and Still Speak Coherent English?
Paper • 2305.07759 • Published • 36 -
Scaling Synthetic Data Creation with 1,000,000,000 Personas
Paper • 2406.20094 • Published • 104
-
A Comparative Study on Automatic Coding of Medical Letters with Explainability
Paper • 2407.13638 • Published • 5 -
Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative Intelligence
Paper • 2407.07061 • Published • 27 -
AgentInstruct: Toward Generative Teaching with Agentic Flows
Paper • 2407.03502 • Published • 51 -
Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions
Paper • 2407.06723 • Published • 11
-
PDFTriage: Question Answering over Long, Structured Documents
Paper • 2309.08872 • Published • 53 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 81 -
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 41 -
Context-Aware Meta-Learning
Paper • 2310.10971 • Published • 17