Search Results for author:
Found 3 papers, 2 papers with code
ERPO: Advancing Safety Alignment via Ex-Ante Reasoning Preference Optimization
Recent advancements in large language models (LLMs) have accelerated progress toward artificial general intelligence, yet their potential to generate harmful content poses critical safety challenges.
FedCAP: Robust Federated Learning via Customized Aggregation and Personalization
The core of FedCAP is a model update calibration mechanism to help a server capture the differences in the direction and magnitude of model updates among clients.
Scientific Large Language Models: A Survey on Biological & Chemical Domains
Large Language Models (LLMs) have emerged as a transformative power in enhancing natural language comprehension, representing a significant stride toward artificial general intelligence.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
