Author

Longtao Huang

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Preprint Oct 2026

Why DiT Models Underperform as Representation Learners without Long Skip Connections

Diffusion feature, i.e., intermediate activations extracted from diffusion model backbones, has emerged as a promising approach for unifying generation and vision understanding (discrimination). Despite the advancement of diffusion backbones into Diffusion Transformers (DiT), it has been found in previous literature th...

Ben-Yuan Meng, Yi-Liang Zhang, Jin-Wen Wu et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Narrative Paradoxes in LLM Inference: Shaping Reasoning Trajectories toward Misalignment

Explicit reasoning in large language models (LLMs) is often associated with reliability, yet it can still pose risks when a model infers harmful goals under a benign context. We identify a distinct challenge: ensuring the safety of the \emph{multi-step reasoning process} itself, where locally coherent steps may still l...

Hao Yang, Ke Ma, Yangbangyan Jiang et al. · 0 citations

#artificial intelligence Conference Open access Nov 2023

General Phrase Debiaser: Debiasing Masked Language Models at a Multi-Token Level

An automatic multi-token debiasing pipeline called General Phrase Debiaser, which is capable of mitigating phrase-level biases in masked language models, and can significantly reduce gender biases on both career and multiple disciplines, across models with varying parameter sizes.

Bingkang Shi, Xiaodan Zhang, Dehan Kong et al. · IEEE International Conferenc... · 4 citations