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20242026
most citedPlug-and-Play Grounding of Reasoning in Multimodal Large Language Models

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

cs.NI2026

Beyond Wireless Security: Covert Communications in Large Language Model-enabled Edge Networks

Yuanai Xie, Jiaxin Chen, Zhaozhi Liu

Large language model (LLM)-enabled edge networks (LLMENs) offer mobile users high-quality and low-latency AI-generated content services in the 6G era. However, unlike typical edge…

cs.CL2026

Role-Playing Agents Driven by Large Language Models: Current Status, Challenges, and Future Trends

Ye Wang, Jiaxing Chen, Hongjiang Xiao

In recent years, with the rapid advancement of large language models (LLMs), role-playing language agents (RPLAs) have emerged as a prominent research focus at the intersection of…

cs.NI2026

CovertComBench: A First Domain-Specific Testbed for LLMs in Wireless Covert Communication

Zhaozhi Liu, Jiaxin Chen, Yuanai Xie +5

The integration of Large Language Models (LLMs) into wireless networks presents significant potential for automating system design. However, unlike conventional throughput maximiza…

cs.CL2025

Scaling Laws for Speculative Decoding

Siyuan Yan, Mo Zhu, Guo-qing Jiang +8

The escalating demand for efficient decoding in large language models (LLMs) is particularly critical for reasoning-intensive architectures like OpenAI-o3 and DeepSeek-R1, which de…

cs.CV2024★ 1 cited

Plug-and-Play Grounding of Reasoning in Multimodal Large Language Models

Jiaxing Chen, Yuxuan Liu, Dehu Li +5

The rise of Multimodal Large Language Models (MLLMs), renowned for their advanced instruction-following and reasoning capabilities, has significantly propelled the field of visual…