2 papers
cs.CV2026
Capturing Token Tendencies for Training-Free Token Pruning in Multimodal Large Language Models
Jie Ma, Zhike Qiu, Jie Gao +4
While visual token pruning is essential for efficient Multimodal Large Language Models (MLLMs), existing training-free methods suffer from a critical limitation: they rely on stati…
cs.AI2026
Beyond Tracking or Shortcut: Composition-Bounded Predictive States in Poker Autoregressive Models
Quanhao Li, Qianyu Chen
Hidden-state probes often recover latent labels in imperfect-information sequence models, but this alone does not establish that a model maintains a posterior belief distribution o…