5,486,005 AI resources indexedWorking toward the world’s largest AI resource index.
Publications about AI methods and applications.
Research paper by Jin Liu and collaborators. arXiv record dated 2026-06-25. Research area: Artificial intelligence.
Research paper by Qingyun Sun and collaborators, published 2026 in ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). Research area: Advanced Graph Neural Networks.
Research paper by Wenbo Hu and collaborators. arXiv record dated 2025-12-17. Research area: Computer vision.
Physical field reconstruction is highly desirable for the measurement and control of engineering systems. The reconstruction of the temperature field from limited observation plays a crucial role in thermal management for electronic equipment. Deep learning has been employed in physical field reconstruction, whereas the accurate estimation for the regions with large gradients is still diffcult. To solve the problem, this work proposes a novel deep learning method based on patchwise training to reconstruct the temperature field of electronic equipment accurately from limited observation. Firstly, the temperature field reconstruction (TFR) prob
Research paper by Haixing Gong and collaborators. arXiv record dated 2025-05-30. Research area: Artificial intelligence.
Research paper by Qing Cheng and collaborators. arXiv record dated 2025-07-24. Research area: Language technology.
Research paper by Qingyun Sun and collaborators, published 2026 in IEEE Transactions on Knowledge and Data Engineering. Research area: Advanced Graph Neural Networks.
Emerging multimodal large language models (MLLMs) exhibit great potential for chart question answering (CQA). Recent efforts primarily focus on scaling up training datasets (i.e., charts, data tables, and question-answer (QA) pairs) through data collection and synthesis. However, our empirical study on existing MLLMs and CQA datasets reveals notable gaps. First, current data collection and synthesis focus on data volume and lack consideration of fine-grained visual encodings and QA tasks, resulting in unbalanced data distribution divergent from practical CQA scenarios. Second, existing work follows the training recipe of the base MLLMs initia
Research paper by Han Zhou and collaborators. Published 2025-12-01. Topics: Reinforcement Learning with Verifiable Rewards (RLVR), large language models (LLMs), multi-turn reasoning, tool-integrated reasoning, instruction optimization.
Research paper by Yulei Ye and collaborators. arXiv record dated 2026-05-28. Research area: Artificial intelligence.
Research paper by Xusen Guo and collaborators. arXiv record dated 2025-10-24. Research area: Artificial intelligence.
Research paper by Zhenyuan Xu and collaborators, published 2026 in International Symposium on System Security, Safety, and Reliability (ISSSR). Research area: AI in cancer detection.
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