Aditya Kumar
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The paper introduces RoboKA, a KAN-based multimodal fusion framework, and a synthetic dataset (Robo-SAr) to significantly improve robocall surveillance by modeling complex adversarial interactions between acoustic and linguistic cues.
This comprehensive systematic review synthesizes decades of research on web tracker detection, proposing a new taxonomy and identifying key open research gaps to guide future work.
The paper proposes a modular agent framework and novel learning methods to design and optimize practical, cost-effective, and controllable LLM-based agentic systems.
Papers
Learning to Construct Practical Agentic Systems
Aditya Kumar, Zhihan Lei, Jerry Yan, Joshua W. Momo +5 more
The paper proposes a modular agent framework and novel learning methods to design and optimize practical, cost-effective, and controllable LLM-based agentic systems.