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20232026
most citedEfficient Large Language Models: A Survey

25 citations · 36 across the 19 of their papers we have counts for

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5 papers · 1 filter

cs.CV2024

Famba-V: Fast Vision Mamba with Cross-Layer Token Fusion

Hui Shen, Zhongwei Wan, Xin Wang +1

Mamba and Vision Mamba (Vim) models have shown their potential as an alternative to methods based on Transformer architecture. This work introduces Fast Mamba for Vision (Famba-V),…

cs.CL2024

D2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models

Zhongwei Wan, Xinjian Wu, Yu Zhang +8

Generative inference in Large Language Models (LLMs) is impeded by the growing memory demands of Key-Value (KV) cache, especially for longer sequences. Traditional KV cache evictio…

cs.CV2024★ 2 cited

Argus: Benchmarking and Enhancing Vision-Language Models for 3D Radiology Report Generation

Che Liu, Zhongwei Wan, Yuqi Wang +5

Automatic radiology report generation holds significant potential to streamline the labor-intensive process of report writing by radiologists, particularly for 3D radiographs such…

cs.CL2024★ 3 cited

MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation

Zhongwei Wan, Che Liu, Xin Wang +6

Electrocardiogram (ECG) is the primary non-invasive diagnostic tool for monitoring cardiac conditions and is crucial in assisting clinicians. Recent studies have concentrated on cl…

cs.DC2024★ 4 cited

The Internet of Things in the Era of Generative AI: Vision and Challenges

Xin Wang, Zhongwei Wan, Arvin Hekmati +4

Advancements in Generative AI hold immense promise to push Internet of Things (IoT) to the next level. In this article, we share our vision on IoT in the era of Generative AI. We d…