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Jiangneng Li

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#machine learning Preprint Oct 2026

To Explore The Strange New World Beyond Data Distribution: System Behavior, Causality Tax, and Non-causal Base Model

We show that the causality of language models (LMs) may not be necessary nor optimal. This is the case when system behavior (denoted as $S$) is incorporated as a first-principle Bayesian feature. Here, $S$ refers to extra dominant factors beyond the data space, and they involve coupled effects. Despite being the de fac...

Xian-Zhi Zeng, Jiang-Neng Li, Gao Cong · 0 citations
Jul 2026

LiteTopK: Exploiting the Curse of Dimensionality for a Fused Indexer-TopK Kernel in Long-Context Sparse Attention

This study observes that sparse attention scores exhibit a score concentration phenomenon, where scores tend to fall within a narrow range, and proposes LITETOPK, an efficient fused Indexer-TopK kernel, which exploits the similarity of top-k candidate sets among neighboring tokens and proposes LITEDSA, which exploits t...

Zi-Qi Yin, Jian-Yang Gao, Peiqi Yin et al. · 1 citation

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