Kai Zhang

Pruning Long Chain-of-Thought of Large Reasoning Models via Small-Scale Preference Optimization

Not All Code Helps: Disentangling the Impact of Code Data on Mathematical Reasoning in Large Language Models

EffSelect: Efficient Feature Value Selection for Deep Recommender Systems with Mini-Batch Training

Discovering and Leveraging Entropy-Complexity Relationships for Efficient Large Language Model Reasoning

BioDataLab: Towards Generalist Agents for Real-world Biological Data Engineering

Personalized Visual Content Generation in Conversational Systems

Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment

Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models