Compress-Distill: Reasoning Trace Compression for Efficient Knowledge Distillation
Paper • 2606.05988 • Published • 3 •
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Ritvik Rastogi
Ritvik19
AI & ML interests
Machine Learning Deep Learning, Natural Language Processing, Computer Vision
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published a dataset about 8 hours ago
Ritvik19/classification-dataset updated a dataset about 8 hours ago
Ritvik19/classification-dataset updated a model 10 days ago
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REFINE-AF: A Task-Agnostic Framework to Align Language Models via Self-Generated Instructions using Reinforcement Learning from Automated Feedback
Paper • 2505.06548 • Published • 30 •
6
REFINE-AF: A Task-Agnostic Framework to Align Language Models via Self-Generated Instructions using Reinforcement Learning from Automated Feedback
Paper • 2505.06548 • Published • 30 •
6
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
Paper • 2504.20571 • Published • 99 •
15
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
Paper • 2504.20571 • Published • 99 •
15
Process Reward Models That Think
Paper • 2504.16828 • Published • 19 •
5
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Paper • 2504.13837 • Published • 141 •
21
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Paper • 2504.13837 • Published • 141 •
21
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Paper • 2504.13837 • Published • 141 •
21
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Paper • 2504.13837 • Published • 141 •
21
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Paper • 2504.13837 • Published • 141 •
21
DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning
Paper • 2504.11456 • Published • 12 •
6
DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning
Paper • 2504.11456 • Published • 12 •
6
From 128K to 4M: Efficient Training of Ultra-Long Context Large Language Models
Paper • 2504.06214 • Published • 1 •
1
Unlocking Efficient Long-to-Short LLM Reasoning with Model Merging
Paper • 2503.20641 • Published • 10 •
5