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Large Language Models (LLMs) have achieved remarkable reliability and advanced capabilities through extended test-time reasoning. However, extending these capabilities to Multi-modal Large Language Models (MLLMs) remains a significant…

Computer Vision and Pattern Recognition · Computer Science 2026-03-20 Yuhao Dong , Zuyan Liu , Shulin Tian , Yongming Rao , Ziwei Liu

The development of large language models (LLMs) has provided new tools for research in supply chain management (SCM). In this paper, we introduce a retrieval-augmented generation (RAG) framework that dynamically integrates external…

Artificial Intelligence · Computer Science 2025-05-27 Haojie Wang , Jiuyun Jiang , L. Jeff Hong , Guangxin Jiang

The rapid advancement of large language models (LLMs) has revolutionized artificial intelligence, introducing unprecedented capabilities in natural language processing and multimodal content generation. However, the increasing complexity…

Software Engineering · Computer Science 2024-11-27 Shenao Wang , Yanjie Zhao , Xinyi Hou , Haoyu Wang

Supply chain operations traditionally involve a variety of complex decision making problems. Over the last few decades, supply chains greatly benefited from advances in computation, which allowed the transition from manual processing to…

Artificial Intelligence · Computer Science 2023-07-14 Beibin Li , Konstantina Mellou , Bo Zhang , Jeevan Pathuri , Ishai Menache

Understanding large-scale, complex software systems is a major challenge for developers, who spend a significant portion of their time on program comprehension. Traditional tools such as static visualizations and reverse engineering…

Software Engineering · Computer Science 2025-08-11 Yoseph Berhanu Alebachew

Supply chains (SCs), complex networks spanning from raw material acquisition to product delivery, with enterprises as interconnected nodes, play a pivotal role in organizational success. However, optimizing SCs remains challenging,…

Human-Computer Interaction · Computer Science 2026-01-22 Shenghan Gao , Junye Wang , Junjie Xiong , Yun Jiang , Yun Fang , Qifan Hu , Baolong Liu , Quan Li

Vision-based quality assessment in additive manufacturing often requires dedicated machine learning models and application-specific datasets. However, data collection and model training can be expensive and time-consuming. In this paper, we…

Computer Vision and Pattern Recognition · Computer Science 2025-11-11 Qiaojie Zheng , Jiucai Zhang , Xiaoli Zhang

This paper presents an integrated framework that combines traditional network optimization models with large language models (LLMs) to deliver interactive, explainable, and role-aware decision support for supply chain planning. The proposed…

Artificial Intelligence · Computer Science 2025-09-01 Saravanan Venkatachalam

Visual reasoning (VR), which is crucial in many fields for enabling human-like visual understanding, remains highly challenging. Recently, compositional visual reasoning approaches, which leverage the reasoning abilities of large language…

Computer Vision and Pattern Recognition · Computer Science 2026-02-04 Fucai Ke , Vijay Kumar B G , Xingjian Leng , Zhixi Cai , Zaid Khan , Weiqing Wang , Pari Delir Haghighi , Hamid Rezatofighi , Manmohan Chandraker

Large language models (LLMs) have recently emerged as a promising approach for automating Verilog code generation; however, existing methods primarily emphasize syntactic correctness and often rely on commercial models or external…

To retrieve and compare scientific data of simulations and experiments in materials science, data needs to be easily accessible and machine readable to qualify and quantify various materials science phenomena. The recent progress in open…

Materials Science · Physics 2025-03-25 Balduin Katzer , Steffen Klinder , Katrin Schulz

We introduce SymbolicAI, a versatile and modular framework employing a logic-based approach to concept learning and flow management in generative processes. SymbolicAI enables the seamless integration of generative models with a diverse…

Generative Artificial Intelligence (GenAI), particularly Large Language Models (LLMs), offer powerful capabilities for interpreting the complex data landscape in healthcare. In this paper, we present a comprehensive overview of the…

Machine Learning · Computer Science 2025-09-05 Ankit Shetgaonkar , Dipen Pradhan , Lakshit Arora , Sanjay Surendranath Girija , Shashank Kapoor , Aman Raj

Visually Rich Document Understanding (VRDU) has become a pivotal area of research, driven by the need to automatically interpret documents that contain intricate visual, textual, and structural elements. Recently, Multimodal Large Language…

Computer Vision and Pattern Recognition · Computer Science 2026-04-22 Yihao Ding , Siwen Luo , Yue Dai , Yanbei Jiang , Zechuan Li , Qiang Sun , Geoffrey Martin , Wei Liu , Yifan Peng

Document parsing (DP) transforms unstructured or semi-structured documents into structured, machine-readable representations, enabling downstream applications such as knowledge base construction and retrieval-augmented generation (RAG).…

Time series anomaly detection is critical for supply chain management to take proactive operations, but faces challenges: classical unsupervised anomaly detection based on exploiting data patterns often yields results misaligned with…

Machine Learning · Computer Science 2026-01-28 Haoting Zhang , Shekhar Jain

In robot scientific laboratories, visual anomaly detection is important for the timely identification and resolution of potential faults or deviations. It has become a key factor in ensuring the stability and safety of experimental…

Computer Vision and Pattern Recognition · Computer Science 2026-04-21 Shiwei Lin , Chenxu Wang , Xiaozhen Ding , Yi Wang , Boyuan Du , Lei Song , Chenggang Wang , Huaping Liu

Robotic vision applications often necessitate a wide range of visual perception tasks, such as object detection, segmentation, and identification. While there have been substantial advances in these individual tasks, integrating specialized…

Robotics · Computer Science 2024-02-26 Zijun Long , George Killick , Richard McCreadie , Gerardo Aragon Camarasa

Engineering drawings are fundamental to manufacturing communication, serving as the primary medium for conveying design intent, tolerances, and production details. However, interpreting complex multi-view drawings with dense annotations…

Computer Vision and Pattern Recognition · Computer Science 2026-01-26 Muhammad Tayyab Khan , Zane Yong , Lequn Chen , Wenhe Feng , Nicholas Yew Jin Tan , Seung Ki Moon

The increasing availability of data and advancements in computational intelligence have accelerated the adoption of data-driven methods (DDMs) in product development. However, their integration into product development remains fragmented.…