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20232026
most citedEfficient Large Language Models: A Survey

25 citations · 35 across the 14 of their papers we have counts for

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8 papers · 1 filter

cs.CL2026

AgentSpec: Speculative Decoding for Batch Inference of LLM Agents

Xin Wang, Ziming Miao, Yi Zhu +4

Large language model (LLM)-based agent applications often incur high response time. Speculative decoding is a promising solution to improve the inference efficiency of LLM agents w…

cs.CL2025

Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS

Alex ZH Dou, Zhongwei Wan, Dongfei Cui +6

Test-time scaling has emerged as a promising paradigm in language modeling, leveraging additional computational resources at inference time to enhance model performance. In this wo…

cs.CL2025

SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression

Xin Wang, Samiul Alam, Zhongwei Wan +2

Despite significant advancements, the practical deployment of Large Language Models (LLMs) is often hampered by their immense sizes, highlighting the need for effective compression…

cs.CL2025

MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference

Zhongwei Wan, Hui Shen, Xin Wang +3

Long-context Multimodal Large Language Models (MLLMs) that incorporate long text-image and text-video modalities, demand substantial resources as their multimodal Key-Value (KV) ca…

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.CL2024★ 1 cited

SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression

Xin Wang, Yu Zheng, Zhongwei Wan +1

The advancements in Large Language Models (LLMs) have been hindered by their substantial sizes, which necessitates LLM compression methods for practical deployment. Singular Value…

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.CL2023★ 25 cited

Efficient Large Language Models: A Survey

Zhongwei Wan, Xin Wang, Che Liu +9

Large Language Models (LLMs) have demonstrated remarkable capabilities in important tasks such as natural language understanding and language generation, and thus have the potentia…