Lihao Yin

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

Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks

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

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

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

Searching Strengthens Large Language Models in Finding Bugs of Deep Learning Libraries