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Fei Shen

University of Singapore

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#natural language process... Preprint Sep 2026

Selecting What Matters: Semantic Compression-Guided Selective Pooling for Long-Context Embeddings

Large language models (LLMs) have shown strong potential as training-free text encoders for long-context embeddings. Existing approaches primarily improve information flow under causal attention and typically construct embeddings by uniformly averaging all token representations. However, for long documents, such mean p...

Zi-Feng Cheng, Jie Zheng, Zhiwei Jiang et al. · 0 citations
Preprint Aug 2026

Accelerating Diffusion Language Models via Structured Suffix Modeling

This work proposes a structured suffix modeling method that incorporates the decoding results from the previous step into the suffix token representations at the current step, allowing them to carry evolving denoising information across generation steps.

Zi-Feng Cheng, Keda Li, Zhiwei Jiang et al. · 0 citations

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