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Parish Aggarwal

4 papers

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papers

Publications (4)

cs.IR2026

Bifocal Diffusion Language Models: Asymmetric Bidirectional Context for Parallel Generation

Yuhang Chen, Xianfeng Wu, Jinhao Duan +11

Discrete diffusion language models (dLLMs) recover masked tokens in parallel, offering significant speedups over autoregressive (AR) generation. However, such promising frameworks…

cs.IR2026

End-to-End Dynamic Sparsity for Resource-Adaptive LLM Inference

Yuhang Chen, Jinhao Duan, Ruichen Zhang +11

Large Language Models (LLMs) inference is typically deployed under a static resource assumption, where models execute a fixed computational graph regardless of the runtime environm…

cs.IR2026

GR2 Technical Report

Yufei Li, Zaiwei Zhang, Mingfu Liang +67

Industrial recommendation systems serve billions of users through a multi-stage funnel -- retrieval, early-stage ranking, and re-ranking -- where the final re-ranking step dispropo…

cs.LG2026

LoopFM: Learning frOm HistOrical RePresentations of Foundation Model for Recommendation

Shali Jiang, Hua Zheng, Boyang Liu +40

Knowledge distillation (KD) transfers a single scalar prediction from a large foundation model (FM) to compact vertical models (VMs), suffering from diminishing transfer ratio -- t…

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