Theoretical Frameworks
Innovating research through theoretical frameworks and data analysis for advanced language model performance.
Theoretical Framework
Exploring models' performance through theoretical analysis and experimentation.
Data Distribution
Analyzing impact on model performance and efficiency.
Intrinsic Mechanisms
Revealing mechanisms for long-text generation and reasoning tasks.
Universal Framework
Developing a framework to predict language model performance improvements.
Optimization Validation
Enhancing training efficiency and generalization capabilities of models.