Author

Chuan Ma

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#artificial intelligence Preprint Sep 2026

How to Loop MoE: Flatten the Experts, Untie the Attention

Looped Transformers reuse one block of layers several times: by spending extra computation they push a model of fixed size further, and so use its parameters more fully; while sparse mixture-of-experts (MoE) models activate only a few of many experts for each token. Looped MoE bridges these two design philosophies and...

Shouren Wang, Chuan Ma, Mohsen Hariri et al. · 0 citations

#computer vision Jun 2026

Mechanistic Diagnostics of Spatial Lexical Bias in Multimodal Large Language Model Spatial Reasoning

It is shown that a lightweight LLM-only DPO update on tiny single-object-pair synthetic data mitigates the bias, lifting four-way robust accuracy by up to 100 points on synthetic data, and by 68.1 points on broader evaluation datasets WhatsUp, SpatialMQA-Direct, and VSR.

Chuan Ma, Qianying Liu, Tomoyuki Obuchi et al. · arXiv.org · 0 citations