activity
20232026
most citedSurvey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods

146 citations · 150 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

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…

cs.AI2026

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…

cs.AI2025

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…

cs.AI2024★ 3 cited

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…

cs.AI2024

Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

Yuheng Cheng, Ceyao Zhang, Zhengwen Zhang +8

Intelligent agents stand out as a potential path toward artificial general intelligence (AGI). Thus, researchers have dedicated significant effort to diverse implementations for th…