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In recent years, the rapid advancement and impressive capabilities of Large Language Models (LLMs) have been evident across various domains. This paper explores the application, implications, and potential of LLMs in building energy…

Systems and Control · Electrical Eng. & Systems 2023-12-20 Liang Zhang , Zhelun Chen

Engineering design operates through hierarchical abstraction from system specifications to component implementations, requiring visual understanding coupled with mathematical reasoning at each level. While Multi-modal Large Language Models…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Arman Akbari , Jian Gao , Yifei Zou , Mei Yang , Jinru Duan , Dmitrii Torbunov , Yanzhi Wang , Yihui Ren , Xuan Zhang

Large language models (LLMs) exhibit remarkable capabilities across diverse tasks, yet aligning them efficiently and effectively with human expectations remains a critical challenge. This thesis advances LLM alignment by introducing novel…

Computation and Language · Computer Science 2025-06-12 Yuxin Jiang

Large Language Models (LLMs) have recently gained significant attention due to their remarkable capabilities in performing diverse tasks across various domains. However, a thorough evaluation of these models is crucial before deploying them…

The performance of large language models (LLMs) on existing reasoning benchmarks has significantly improved over the past years. In response, we present JEEBench, a considerably more challenging benchmark dataset for evaluating the problem…

Computation and Language · Computer Science 2023-10-24 Daman Arora , Himanshu Gaurav Singh , Mausam

There is widespread optimism that frontier Large Language Models (LLMs) and LLM-augmented systems have the potential to rapidly accelerate scientific discovery across disciplines. Today, many benchmarks exist to measure LLM knowledge and…

Large language models (LLMs) have shown great promise in generating structured diagrams from natural language descriptions, particularly Mermaid sequence diagrams for software engineering. However, the lack of existing benchmarks to assess…

Software Engineering · Computer Science 2026-04-28 Basel Shbita , Farhan Ahmed , Chad DeLuca

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 wireless communications-remains underexplored. In this work,…

Computation and Language · Computer Science 2025-05-21 Xin Li , Mengbing Liu , Li Wei , Jiancheng An , Mérouane Debbah , Chau Yuen

Large Language Models (LLMs) with strong abilities in natural language processing tasks have emerged and have been applied in various kinds of areas such as science, finance and software engineering. However, the capability of LLMs to…

Computation and Language · Computer Science 2023-12-29 Taicheng Guo , Kehan Guo , Bozhao Nan , Zhenwen Liang , Zhichun Guo , Nitesh V. Chawla , Olaf Wiest , Xiangliang Zhang

Climate change poses grave challenges, demanding widespread understanding and low-carbon lifestyle awareness. Large language models (LLMs) offer a powerful tool to address this crisis, yet comprehensive evaluations of their climate-crisis…

Computation and Language · Computer Science 2024-07-02 Hongyin Zhu , Prayag Tiwari

Large language models (LLMs) have shown promise in complex reasoning and tool-based decision making, motivating their application to real-world supply chain management. However, supply chain workflows require reliable long-horizon,…

Artificial Intelligence · Computer Science 2026-05-14 Shengyue Guan , Yihao Liu , Lang Cao

Large Language Models (LLMs) have demonstrated potential in cybersecurity applications but have also caused lower confidence due to problems like hallucinations and a lack of truthfulness. Existing benchmarks provide general evaluations but…

The emergence of Large Language Models (LLMs) presents transformative opportunities for education, generating numerous novel application scenarios. However, significant challenges remain: evaluation metrics vary substantially across…

Computers and Society · Computer Science 2025-08-01 Shou'ang Wei , Xinyun Wang , Shuzhen Bi , Jian Chen , Ruijia Li , Bo Jiang , Xin Lin , Min Zhang , Yu Song , BingDong Li , Aimin Zhou , Hao Hao

The increasing use of Large Language Models (LLMs) offers significant opportunities across the engineering lifecycle, including requirements engineering, software development, process optimization, and decision support. Despite this…

Software Engineering · Computer Science 2026-02-05 Stefan Otten , Philipp Reis , Philipp Rigoll , Joshua Ransiek , Tobias Schürmann , Jacob Langner , Eric Sax

Based on powerful Large Language Models (LLMs), recent generative Multimodal Large Language Models (MLLMs) have gained prominence as a pivotal research area, exhibiting remarkable capability for both comprehension and generation. In this…

Computation and Language · Computer Science 2023-08-03 Bohao Li , Rui Wang , Guangzhi Wang , Yuying Ge , Yixiao Ge , Ying Shan

Mathematical reasoning is essential for problem-solving in education, science, and industry, serving as a crucial benchmark for evaluating artificial intelligence systems. As Large Language Models (LLMs) improve their reasoning…

Computation and Language · Computer Science 2026-05-20 Husnain Amjad , Raja Khurram Shahzad , Aamir Shahzad , Mehwish Fatima

Multi-modal large language models (MLLMs) have demonstrated promising capabilities across various tasks by integrating textual and visual information to achieve visual understanding in complex scenarios. Despite the availability of several…

Artificial Intelligence · Computer Science 2024-12-03 Zhihuan Jiang , Zhen Yang , Jinhao Chen , Zhengxiao Du , Weihan Wang , Bin Xu , Jie Tang

Large language models (LLMs) are gaining increasing popularity in both academia and industry, owing to their unprecedented performance in various applications. As LLMs continue to play a vital role in both research and daily use, their…

Computation and Language · Computer Science 2024-01-01 Yupeng Chang , Xu Wang , Jindong Wang , Yuan Wu , Linyi Yang , Kaijie Zhu , Hao Chen , Xiaoyuan Yi , Cunxiang Wang , Yidong Wang , Wei Ye , Yue Zhang , Yi Chang , Philip S. Yu , Qiang Yang , Xing Xie

Large language models (LLMs) are increasingly being deployed across disciplines due to their advanced reasoning and problem solving capabilities. To measure their effectiveness, various benchmarks have been developed that measure aspects of…

Large Language Models (LLMs) are increasingly applied in the fields of mechanical engineering and materials science. As models that establish connections through the interface of language, LLMs can be applied for step-wise reasoning through…

Applied Physics · Physics 2025-07-22 Adrian Ehrenhofer , Thomas Wallmersperger , Gianaurelio Cuniberti
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