Xiaokun Zhang

PASER: Post-Training Data Selection for Efficient Pruned Large Language Model Recovery

Pedagogically-Inspired Data Synthesis for Language Model Knowledge Distillation

Grounding Long-Context Reasoning with Contextual Normalization for Retrieval-Augmented Generation

SRA-CL: Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation

Preserving LLM Capabilities through Calibration Data Curation: From Analysis to Optimization

PASER: Post-Training Data Selection for Efficient Pruned Large Language Model Recovery