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Conceptual Schema Inference for Tabular Datasets using Large Language Models
This paper tackles the problem of conceptual schema inference from large heterogeneous tabular data repositories, such as data lakes and web tables

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This paper tackles the problem of conceptual schema inference from large heterogeneous tabular data repositories, such as data lakes and web tables

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This paper addresses a fundamental challenge in human action recognition (HAR) — robust zero-shot recognition of actions under strong geometric domain shifts, such as differing camera viewpoints and…

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This paper addresses the challenging Flexible Job Shop Scheduling Problem (FJSP) where jobs arrive randomly over time, and scheduling decisions must be made dynamically and quickly

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This paper addresses the inefficiencies and shortcomings of current large language model (LLM)-based agentic reasoning systems that rely on end-to-end trained reactive policies with unconstrained c…

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The paper addresses fundamental inefficiencies in cellular network architectures caused by in-network mobility management, where user IP addresses are anchored centrally in the network core

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This work addresses the challenge of confining optical modes to volumes approaching 1 nm^3 within plasmonic nanogaps, a key goal for enhancing light-matter interactions beyond the diffraction limit

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FAME addresses the challenging problem of message-level anomaly detection in logs, overcoming limitations of window-level detectors that lack granularity and label-scarce settings where annotation …

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This paper addresses the challenge of evaluating geospatial question answering (GeoQA) systems by introducing GS-QA, a comprehensive benchmark designed specifically for questions involving spatial …

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This paper addresses the escalating threat of fraud and cyberattacks in traditional credit/debit card banking by proposing a comprehensive framework for cardless AI banking that enhances security, …

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This paper addresses the problem of real-time cognitive load assessment using eye-tracking data, which suffers from significant challenges of missing data due to blinks and tracking failures, and t…

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This paper addresses the significant challenge of assessing the cybersecurity posture of large-scale electric vehicle (EV) fast charging infrastructures, where direct security testing of tens of th…

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This paper addresses the critical challenge of understanding the mechanisms and pathways that lead to extreme events in partially-observed stochastic dynamical systems, where only a subset of state…