Now showing items 52-54 of 54150

    • Causality - Exploiting Multi-Modal Data 

      Uhler, Caroline (ACM|Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2, 2025-08-03)
      Massive data collection holds the promise of a better understanding of complex phenomena and ultimately, of better decisions. Representation learning has become a key driver of deep learning applications, since it allows ...
    • A Survey on Trustworthy LLM Agents: Threats and Countermeasures 

      Yu, Miao; Meng, Fanci; Zhou, Xinyun; Wang, Shilong; Mao, Junyuan; e.a. (ACM|Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2, 2025-08-03)
      With the rapid evolution of Large Language Models (LLMs), LLM-based agents and Multi-agent Systems (MAS) have significantly expanded the capabilities of LLM ecosystems. This evolution stems from empowering LLMs with ...
    • Hopps: Leveraging Sparsity to Accelerate Automata Processing 

      Du, Xingran; Emer, Joel; Sanchez, Daniel (ACM|Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3, 2025-08-06)
      Automata processing (AP) is a key kernel in data analytics and scientific computing. AP workloads process a stream of symbols with many automata (FSMs) in parallel, e.g., pattern-matching network traffic against many ...