Bowei He

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

Spatial CAPTCHA: Generatively Benchmarking Spatial Reasoning for Human-Machine Differentiation

Pedagogically-Inspired Data Synthesis for Language Model Knowledge Distillation

Adversarial Encoding Perturbation and Synthesis for Set Representation Auxiliary Learning

CORE: Lossless Compression for Retrieval-Augmented LLMs via Reinforcement Learning

RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback

Context-Aware Multi-Agent Safety Evaluation for Autonomous Driving

CIDD: Collaborative Intelligence for Structure-Based Drug Design Empowered by LLMs

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

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

Towards Efficient Adaptation of Pruning Strategy in Large Language Models

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

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