2 papers
cs.CL2026
AWARe: Mitigating Catastrophic Forgetting via Activation-Weighted Adaptive REtention
Juncheng Liao, Jinfan Lv, Guoming Wang +3
Multimodal Large Language Models (MLLMs) exhibit strong generalization and reasoning abilities due to large-scale multimodal pre-training. However, fine-tuning these models on down…
cs.CL2025
EvidenceMap: Learning Evidence Analysis to Unleash the Power of Small Language Models for Biomedical Question Answering
Chang Zong, Jian Wan, Siliang Tang +1
When addressing professional questions in the biomedical domain, humans typically acquire multiple pieces of information as evidence and engage in multifaceted analysis to provide…