Author

Wei-Qiang Wang

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Preprint Oct 2026

Rethinking User Encoders: Routing Diffusion States for Scenario-Adaptive User Representation

This work proposes FINDERS (FactorIzatioN of Diffusion statEs for Routing across Scenarios), a router-equipped dLLM framework comprising four operations: denoise, factorize, route, and compress that effectively pushes the boundaries of dLLMs beyond language generation, demonstrating their immense potential as powerful...

Jun-Ru Zhang, Jin-Yong Wen, Bin Dou et al. · 0 citations

#artificial intelligence Preprint Sep 2026

FastE: Readout-Triggered Token Compression for LLM Embedding Inference

This study identifies depth-dependent prefix redundancy in final-readout LLM embedding models, notably across representative backbones including Qwen3-Embedding and Qwen3-VL-Embedding, and introduces FastE, a training-free, plug-and-play method that offers practical value for scalable embedding generation in retrieval,...

Jin-Song Shu, Jin-Yong Wen, Bao-Kun Wang et al. · 0 citations