Author

Geng Yuan

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#artificial intelligence Preprint Oct 2026

BitNest: Bit-Nested Speculative Decoding for Memory-Efficient LLM Inference Acceleration

Speculative decoding accelerates autoregressive generation by using a lightweight draft to propose multiple tokens for parallel verification. However, existing methods often require an additional draft model or weight representation, introducing non-negligible memory overhead on resource-constrained devices. Self-specu...

Chen-Ce Yang, Ning-Xi Cheng, Arash Akbari et al. · 0 citations

#artificial intelligence Preprint Sep 2026

AnchorReasoning: A Visual Grounding and Causal Reasoning Dataset in Long-Tail Autonomous Driving Scenarios

Vision-language models (VLMs) offer a promising approach to long-tail autonomous driving, but existing driving datasets provide limited supervision for connecting decision-critical visual evidence with reasoning and planning. We introduce AnchorReasoning, a visually grounded reasoning dataset built on WOD-E2E, containi...

Zhi-Peng Bao, Wen-Jie Zhao, Tian-Le Zhu et al. · 0 citations

#machine learning Preprint Aug 2026

DART-FL: Burst-Aware Multitask Federated Learning under Dynamic Inference Demand at the Edge

Results show that DART-FL dynamically adapts the inference-training resource split to time-varying inference demand and shifts the learning progress of high-demand tasks toward their burst periods, improving model accuracy when those tasks are frequently requested while maintaining comparable long-term multitask perfor...

Yi-Ming Xie, Pinrui Yu, Geng Yuan et al. · 0 citations