3 citations · 5 across the 7 of their papers we have counts for
9 papers
QART: A Quantum-Classical Hybrid Architecture for Long-Horizon Reasoning -- Exploring a Conditional Path toward Quantum Scaling
Lehao Lin, Yuheng Cheng, Guolong Liu +9
Long-horizon reasoning is vulnerable to early errors that compromise later decisions. We present QART, the Quantum-Augmented Reasoning Transformer, a quantum--classical hybrid arch…
RePro: Proof-Verified Benchmark Rewriting for Reliable Evaluation of LLM Mathematical Problem Solving
Xiyuan Zhou, Zhuoqi Li, Xinlei Wang +6
Data contamination undermines the reliable evaluation of large language models (LLMs) on mathematical problem solving. While rewriting-based evaluation mitigates memorization, exis…
EngiAgent: Fully Connected Coordination of LLM Agents for Solving Open-ended Engineering Problems with Feasible Solutions
Xiyuan Zhou, Ruixi Zou, Xinlei Wang +4
Engineering problem solving is central to real-world decision-making, requiring mathematical formulations that not only represent complex problems but also produce feasible solutio…
EngiBench: A Benchmark for Evaluating Large Language Models on Engineering Problem Solving
Xiyuan Zhou, Xinlei Wang, Yirui He +9
Large language models (LLMs) have shown strong performance on mathematical reasoning under well-defined conditions. However, real-world engineering problems involve uncertainty, co…
Carbon Disclosure Effect, Corporate Fundamentals, and Net-zero Emission Target: Evidence from China
Xiyuan Zhou, Xinlei Wang, Xiang Fei +3
In response to China's national carbon neutrality goals, this study examines how corporate carbon emissions disclosure affects the financial performance of Chinese A-share listed c…
ElecBench: a Power Dispatch Evaluation Benchmark for Large Language Models
Xiyuan Zhou, Huan Zhao, Yuheng Cheng +6
In response to the urgent demand for grid stability and the complex challenges posed by renewable energy integration and electricity market dynamics, the power sector increasingly…
GAIA -- A Large Language Model for Advanced Power Dispatch
Yuheng Cheng, Huan Zhao, Xiyuan Zhou +3
Power dispatch is essential for providing stable, cost-effective, and eco-friendly electricity to society. However, traditional methods falter as power systems grow in scale and co…
Power System Fault Diagnosis with Quantum Computing and Efficient Gate Decomposition
Xiang Fei, Huan Zhao, Xiyuan Zhou +3
Power system fault diagnosis is crucial for identifying the location and causes of faults and providing decision-making support for power dispatchers. However, most classical metho…
LLM4Laser: Large Language Models Automate the Design of Lasers
Renjie Li, Ceyao Zhang, Sixuan Mao +4
With the rapid evolution of global autonomous driving technology, the demand for its core sensing hardware, Light Detection and Ranging (LiDAR), is escalating. As the light source…