Datasets & weights for NeurIPS 2023 Challenge
Quy-Anh Dang
quyanh
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paper
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Reinforcement Learning for Reasoning in Small LLMs: What Works and What
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knoveleng/open-rs
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Reinforcement Learning for Reasoning in Small LLMs: What Works and What
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Organizations
Collections
1
Papers
2
models
10
quyanh/OpenRS-GRPO
Text Generation
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268
quyanh/whisper-small-hi
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12
quyanh/qwen-14b-neurips-a100
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5
quyanh/mistral-7b-neurips-4090
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1
quyanh/mistral-7b-neurips-v3
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2
quyanh/qwen-14b-neurips-v1
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2
quyanh/qwen-7b-neurips-v1
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quyanh/qwen-14b-neurips-v2
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4
quyanh/mistral-7b-neurips-v2
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1
quyanh/mistral-7b-neurips-v1
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3
datasets
22
quyanh/DeepScaleRS
Viewer
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7k
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100
quyanh/DeepScaleRS-base
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40.3k
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49
quyanh/open-rs
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18.6k
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131
quyanh/s1-advanced-filter-plus
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21.5k
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59
quyanh/s1-advanced-filter
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31.3k
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102
quyanh/s1-base-filter
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31.3k
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101
quyanh/ms3301-refine
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32
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39
quyanh/loigiaihay-refine
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384
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53
quyanh/bayes-pairs-loigiaihay
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384
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43
quyanh/MAS3301-Bayesian-Statistic
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32
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46