Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers
Paper
•
2504.20752
•
Published
•
90
Train
-
-
Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in Math
Paper • 2504.21233 • Published • 44 -
AF Adapter: Continual Pretraining for Building Chinese Biomedical Language Model
Paper • 2211.11363 • Published • 1 -
MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
Paper • 2405.12130 • Published • 51 -
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
Paper • 2403.17919 • Published • 16 -
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Paper • 2403.03507 • Published • 189 -
ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models
Paper • 2403.16187 • Published -
Absolute Zero: Reinforced Self-play Reasoning with Zero Data
Paper • 2505.03335 • Published • 166 -
AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning
Paper • 2505.16400 • Published • 28 -
Model Merging in Pre-training of Large Language Models
Paper • 2505.12082 • Published • 35 -
A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone
Paper • 2505.12781 • Published • 2 -
Qwen3 Technical Report
Paper • 2505.09388 • Published • 169 -
Soft Thinking: Unlocking the Reasoning Potential of LLMs in Continuous Concept Space
Paper • 2505.15778 • Published • 15