4 citations · 5 across the 8 of their papers we have counts for
9 papers
C3: Rethinking Process Supervision via Confidence-Guided Credit Correction in Multi-Turn Reinforcement Learning
Ai Jian, Haoran Pan, Eryu Guo +5
Large language models are increasingly trained as multi-turn agents that interact with external tools. However, outcome-only reinforcement learning can produce a form of misguided…
In-Wave Computation Aided Stacked Intelligent Metasurfaces in Next-Generation Networks: Challenges and Opportunities
Mengbing Liu, Chau Yuen, Dusit Niyato +2
Stacked intelligent metasurfaces (SIMs) facilitate computation by cascaded programmable layers so that part of the signal processing can be performed in the wave domain during sign…
WirelessMathBench-XL: An Auditable Benchmark for Wireless Mathematical Reasoning
Xin Li, Mengbing Liu, Yiyang Zhu +4
Technical-domain benchmarks constructed from arXiv papers can overlap the same public text used in LLM pretraining. Auditing this risk at training-corpus scale requires searching b…
LLM Agent Communication Protocol (LACP) Requires Urgent Standardization: A Telecom-Inspired Protocol is Necessary
Xin Li, Mengbing Liu, Chau Yuen
This position paper argues that the field of LLM agents requires a unified, telecom-inspired communication protocol to ensure safety, interoperability, and scalability, especially…
WirelessMathBench: A Mathematical Modeling Benchmark for LLMs in Wireless Communications
Xin Li, Mengbing Liu, Li Wei +3
Large Language Models (LLMs) have achieved impressive results across a broad array of tasks, yet their capacity for complex, domain-specific mathematical reasoning-particularly in…
Over-the-Air ODE-Inspired Neural Network for Dual Task-Oriented Semantic Communications
Mengbing Liu, Jiancheng An, Chongwen Huang +1
Analog machine-learning hardware platforms promise greater speed and energy efficiency than their digital counterparts. Specifically, over-the-air analog computation allows offload…
Beamforming Design and Association Scheme for Multi-RIS Multi-User mmWave Systems Through Graph Neural Networks
Mengbing Liu, Chongwen Huang, Ahmed Alhammadi +3
Reconfigurable intelligent surface (RIS) is emerging as a promising technology for next-generation wireless communication networks, offering a variety of merits such as the ability…
Onboard Terrain Classification via Stacked Intelligent Metasurface-Diffractive Deep Neural Networks from SAR Level-0 Raw Data
Mengbing Liu, Xin Li, Jiancheng An +1
This paper introduces a novel approach for real-time onboard terrain classification from Sentinel-1 (S1) level-0 raw In-phase/Quadrature (IQ) data, leveraging a Stacked Intelligent…
Multi-Sources Information Fusion Learning for Multi-Points NLOS Localization
Bohao Wang, Fenghao Zhu, Mengbing Liu +5
Accurate localization of mobile terminals is crucial for integrated sensing and communication systems. Existing fingerprint localization methods, which deduce coordinates from chan…