Author

Zi-Chao Feng

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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 Jul 2025

Squeeze10-LLM: Squeezing LLMs' Weights by 10 Times via a Staged Mixed-Precision Quantization Method

Squeeze10-LLM is a staged mixed-precision post-training quantization (PTQ) framework and achieves state-of-the-art performance for sub-2bit weight-only quantization, improving average accuracy from 43% to 56% on six zero-shot classification tasks--a significant boost over existing PTQ methods.

Qingcheng Zhu, Yang-Yang Ren, Lin-Lin Yang et al. · arXiv.org · 1 citation