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This paper presents the first result from a KCWI red-channel (KCRM) survey targeting extended Lyman-alpha (Lyα) halos around z > 6.5 quasars, a redshift regime previously inaccessible to ground-bas…
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This paper identifies and formalizes the direction-loss decoupling phenomenon in deep learning optimization, where directional consistency of consecutive gradients can be near perfect while loss re…
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This paper addresses the problem of automatically identifying which algorithm a given piece of source code implements — a task relevant to software maintenance, quality assurance, and reverse engin…
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This paper addresses the problem of client-level data attribution in federated fine-tuning of large language models (LLMs), where multiple clients collaboratively fine-tune a shared model without r…
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This paper addresses the critical problem of establishing a shared, open, cryptographically verifiable trust infrastructure for autonomous AI agents operating at production scale across organizatio…
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GlazyBench addresses the absence of any large-scale, standardized dataset for computational ceramic glaze design
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This paper addresses the challenge of generating adversarial network traffic flows to evade classical intrusion detection systems (IDS) by proposing a hybrid quantum-classical generative adversaria…
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This paper addresses a specific but practically important gap in the clinical trial statistics literature: reliable variance estimation for the standardized (g-computation) average treatment effect…
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This PhD proposal addresses the systematic underrepresentation of low-resource languages in Linked Open Data (LOD) Knowledge Graphs (KGs), arguing that the digital language divide is being actively…
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MASPO addresses a fundamental challenge in LLM-based Multi-Agent Systems (MAS): how to jointly optimize role-specific prompts across interacting agents when each agent only sees a slice of the task…
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This paper investigates whether the three classes of pre-training corpora used for Tabular Foundation Models (TFMs) — web-scraped tables (T4), curated benchmark tables (TabFM/FM), and synthetically…
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This paper tackles a concrete gap in Connected, Cooperative, and Automated Mobility (CCAM) standardization: existing ETSI V2X facility-layer messages (CAM, VAM, CPM, MCM) were designed for vehicles…
