2 papers
cs.AI2024
Role-RL: Online Long-Context Processing with Role Reinforcement Learning for Distinct LLMs in Their Optimal Roles
Lewei He, Tianyu Shi, Pengran Huang +3
Large language models (LLMs) with long-context processing are still challenging because of their implementation complexity, training efficiency and data sparsity. To address this i…
cs.MM2024
Enhancing Few-Shot Classification without Forgetting through Multi-Level Contrastive Constraints
Bingzhi Chen, Haoming Zhou, Yishu Liu +3
Most recent few-shot learning approaches are based on meta-learning with episodic training. However, prior studies encounter two crucial problems: (1) \textit{the presence of induc…