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ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
Paper • 2503.19470 • Published • 19 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 42 -
A Survey on Large Language Model Benchmarks
Paper • 2508.15361 • Published • 19 -
Search-o1: Agentic Search-Enhanced Large Reasoning Models
Paper • 2501.05366 • Published • 102
yangdechuan
yangdechuan
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ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning
Paper • 2503.19470 • Published • 19 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 42 -
A Survey on Large Language Model Benchmarks
Paper • 2508.15361 • Published • 19 -
Search-o1: Agentic Search-Enhanced Large Reasoning Models
Paper • 2501.05366 • Published • 102
models 6
yangdechuan/mt5-small-finetuned-amazon-en-es
Summarization • 0.3B • Updated • 14
yangdechuan/bert-base-uncased
Feature Extraction • 0.1B • Updated • 3
yangdechuan/bert-base-cased
Feature Extraction • 0.1B • Updated • 83
yangdechuan/mt5-small-finetuned-amazon-en-es-accelerate
Updated • 15
yangdechuan/codeparrot-ds
Text Generation • Updated • 24
yangdechuan/bert-base-cased-finetuned-mrpc
Text Classification • Updated • 6