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This paper addresses the substantial manual effort and complexity involved in multimodal neuroimaging preprocessing and downstream analysis, which currently requires extensive expert tuning and coo…
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This paper addresses the challenge of performing online Bayesian calibration of computer simulators in dynamic, nonstationary environments typical of digital twin applications
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This paper addresses the practical bottleneck of manually annotating L2 (second-language learner) Korean text under the Universal Dependencies (UD) framework
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PersonaKit (PK) addresses a concrete gap in full-duplex spoken dialogue research: the engineering overhead required to empirically test how different interruption-handling strategies affect user pe…
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PianoCoRe addresses a persistent bottleneck in computational piano performance research: the fragmentation of existing symbolic music datasets across incompatible formats, narrow composer coverage,…
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Prober.ai addresses a well-documented problem in AI-assisted education: general-purpose LLMs, when used for writing support, act as cognitive prosthetics that generate polished text on demand, meas…
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This paper attacks a fundamental but underappreciated vulnerability of Lyapunov-stable autonomous agents: any agent converging reliably toward a goal is intrinsically legible to a passive Bayesian …
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This paper addresses a foundational design question for latent diffusion model (LDM)-based robotic world models: should the latent space be optimized for pixel reconstruction (as in VAEs) or for se…
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This work addresses the problem of mapping dust extinction within nearby low-metallicity galaxies, specifically the Small and Large Magellanic Clouds (SMC and LMC), at an unprecedented parsec-scale…
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This paper presents sensitivity projections for the IceCube Upgrade (a seven-string infill of the DeepCore subarray, referred to as IC93) to neutrino signals from dark matter (DM) annihilation, tar…
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SkillOS addresses a fundamental limitation of LLM-based agents deployed in streaming settings: they solve tasks in isolation and discard all experience afterward
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This paper tackles end-to-end geospatial question answering over bilingual (Russian/Tatar) toponymic data for the Republic of Tatarstan — a domain where standard QA benchmarks like SQuAD and SberQu…
