The training and evaluation datasets for Paper "How Far Can Your Large Reasoning Model Really Go in Breadth and Depth?"
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Papers
R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth?
VitaBench: Benchmarking LLM Agents with Versatile Interactive Tasks in Real-world Applications
models
6
meituan-longcat/LongCat-Video
Text-to-Video
•
Updated
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156
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149
meituan-longcat/LongCat-Audio-Codec
Updated
•
31
meituan-longcat/LongCat-Flash-Thinking-FP8
Text Generation
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562B
•
Updated
•
181
•
5
meituan-longcat/LongCat-Flash-Thinking
Text Generation
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562B
•
Updated
•
631
•
144
meituan-longcat/LongCat-Flash-Chat-FP8
Text Generation
•
562B
•
Updated
•
838
•
25
meituan-longcat/LongCat-Flash-Chat
Text Generation
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562B
•
Updated
•
22.1k
•
495
datasets
7
meituan-longcat/R-HORIZON-Websearch
Viewer
•
Updated
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505
•
22
meituan-longcat/R-HORIZON-AMC23
Viewer
•
Updated
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200
•
13
meituan-longcat/R-HORIZON-Math500
Viewer
•
Updated
•
2.5k
•
13
meituan-longcat/R-HORIZON-AIME25
Viewer
•
Updated
•
150
•
14
meituan-longcat/R-HORIZON-AIME24
Viewer
•
Updated
•
150
•
9
meituan-longcat/R-HORIZON-training-data
Updated
•
18
•
2
meituan-longcat/VitaBench
Updated
•
851
•
6