Author

Shu-Ting Liu

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Open access Aug 2026

Cognitive Processes of Probabilistic Prediction in Reading: Language Model Surprisal Across Model Sizes, Token Granularity, and Reading Paradigms

Surprisal, the negative log probability of a word given its context, is the dominant computational metric for quantifying reading difficulty and a common item difficulty estimator in reading research. Yet how the language model family, surprisal granularity, and corpus type jointly shape the surprisal–reading time link...

Shu-Ting Liu, Yong Mei · Journal of Intelligence · 0 citations

Review Aug 2026

Is Multimodal Speculative Decoding Ready for Diffusion-Based Parallel Drafting? A Survey and Empirical Diagnosis

A unified taxonomy that isolates drafter-side parallelism from orthogonal design choices such as tree construction and verification strategies is introduced, and a comprehensive empirical comparison of existing methods under varying degrees of parallelism across standardized multimodal benchmarks, including OCR, VQA, v...

Yantao Li, Huanlin Gao, Fang Zhao et al. · 0 citations