1 citations · 2 across the 7 of their papers we have counts for
7 papers
Spike Hijacking in Late-Interaction Retrieval
Karthik Suresh, Tushar Vatsa, Tracy King +2
Late-interaction retrieval models rely on hard maximum similarity (MaxSim) to aggregate token-level similarities. Although effective, this winner-take-all pooling rule may structur…
CPT: Controllable and Editable Design Variations with Language Models
Karthik Suresh, Amine Ben Khalifa, Li Zhang +4
Designing visually diverse and high-quality designs remains a manual, time-consuming process, limiting scalability and personalization in creative workflows. We present a system fo…
Retrieval-Augmented Question Answering over Scientific Literature for the Electron-Ion Collider
Tina. J. Jat, T. Ghosh, Karthik Suresh
To harness the power of Language Models in answering domain specific specialized technical questions, Retrieval Augmented Generation (RAG) is been used widely. In this work, we hav…
Scalable AI-assisted Workflow Management for Detector Design Optimization Using Distributed Computing
Derek Anderson, Amit Bashyal, Markus Diefenthaler +13
The Production and Distributed Analysis (PanDA) system, originally developed for the ATLAS experiment at the CERN Large Hadron Collider (LHC), has evolved into a robust platform fo…
AI-Assisted Detector Design for the EIC (AID(2)E)
M. Diefenthaler, C. Fanelli, L. O. Gerlach +11
Artificial Intelligence is poised to transform the design of complex, large-scale detectors like the ePIC at the future Electron Ion Collider. Featuring a central detector with add…
Physics Event Classification Using Large Language Models
Cristiano Fanelli, James Giroux, Patrick Moran +3
The 2023 AI4EIC hackathon was the culmination of the third annual AI4EIC workshop at The Catholic University of America. This workshop brought together researchers from physics, da…
Towards a RAG-based Summarization Agent for the Electron-Ion Collider
Karthik Suresh, Neeltje Kackar, Luke Schleck +1
The complexity and sheer volume of information encompassing documents, papers, data, and other resources from large-scale experiments demand significant time and effort to navigate…