Minwu Kim

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authored a paper 3 months ago

Reinforcement Learning vs. Distillation: Understanding Accuracy and Capability in LLM Reasoning

Paper • 2505.14216 • Published May 20 • 2

upvoted a paper 3 months ago

Reinforcement Learning vs. Distillation: Understanding Accuracy and Capability in LLM Reasoning

Paper • 2505.14216 • Published May 20 • 2

upvoted a collection 3 months ago

Warmup Before You Train

Collection

3 items • Updated May 21 • 2

upvoted a paper 3 months ago

Warm Up Before You Train: Unlocking General Reasoning in Resource-Constrained Settings

Paper • 2505.13718 • Published May 19 • 7

authored a paper 3 months ago

Warm Up Before You Train: Unlocking General Reasoning in Resource-Constrained Settings

Paper • 2505.13718 • Published May 19 • 7

upvoted a collection 5 months ago

🌾Oat-Zero: Understanding R1-Zero-Like Training

Collection

5 items • Updated Apr 10 • 7

upvoted a paper 6 months ago

Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical Ranges

Paper • 2502.08680 • Published Feb 12 • 11

New activity in guactastesgood/GSM-Ranges 6 months ago

Replace Arxiv link with HF papers link

#2 opened 6 months ago by

nielsr

commented a paper 6 months ago

Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical Ranges

Paper • 2502.08680 • Published Feb 12 • 11 •

2

authored a paper 6 months ago

Mathematical Reasoning in Large Language Models: Assessing Logical and Arithmetic Errors across Wide Numerical Ranges

Paper • 2502.08680 • Published Feb 12 • 11

updated a dataset 6 months ago

guactastesgood/GSM-Ranges

Viewer • Updated Feb 15 • 30.1k • 72

published a dataset 6 months ago

guactastesgood/GSM-Ranges

Viewer • Updated Feb 15 • 30.1k • 72