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ProgramTab outperforms all LLM-based baselines in table reasoning by transforming unstructured data into actionable insights through programmatic preprocessing.
FedCMM achieves robust knowledge retention in MLLMs, outperforming traditional methods by effectively balancing adaptation and stability in dynamic environments.
AVEX-Prune retains only the most valuable tokens in audio-visual captioning, achieving 40% retention without sacrificing quality.
Achieve more human-like empathy in multimodal response generation by explicitly modeling the hierarchical progression of emotion perception and iteratively refining responses to eliminate emotional biases.
