Author

Quantong Qiu

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#machine learning Apr 2026

Flux Attention: Context-Aware Hybrid Attention for Efficient LLMs Inference

Flux Attention is introduced, a context-aware framework that dynamically optimizes attention computation at the layer level by integrating a lightweight Layer Router into frozen pretrained LLMs, which adaptively routes each layer to FA or SA based on the input context.

Quantong Qiu, Zhiyi Hong, Yi Yang et al. · arXiv.org · 0 citations

#artificial intelligence Jun 2026

MMLongEmbed: Benchmarking Multimodal Embedding Models in Long-Context Scenarios

This work introduces MMLongEmbed, the first comprehensive benchmark for evaluating MEMs in long-context scenarios, and finds that current architectures rely heavily on superficial feature matching and struggle to capture deep semantic and structural dependencies.

Maggie Haitian Wang, Ruoxi Sun, Quantong Qiu et al. · arXiv.org · 0 citations