Author

Tong-Fei Chen

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#artificial intelligence Preprint Oct 2026

How Much Planning Is Enough? Reducing Search and Computation in World-Model Planning

Visual world models enable goal-directed control through decision-time action search, but their deployment efficiency is often limited by conservatively large planning budgets. We show that competitive task performance can be achieved without agreement with the Full-budget action, that sufficient budgets vary across mo...

Chang-Bai Li, Si-Rui Li, Yi-Chen Yang et al. · 0 citations

#machine learning Preprint Oct 2026

DIPrune: Task-Aware Token Pruning with Dual Importance for Efficient Multimodal Language Models

Recent training-free pruning approaches for Multimodal Large Language Models (MLLMs) effectively cut computational overhead by exploiting visual redundancy or text-vision attention. However, they frequently suffer from semantic degradation due to their task-agnostic design or unreliable attention estimates. Based on ou...

Shuo Yang, Chang-Bai Li, Lin-Lin Yang et al. · 0 citations