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arXiv:2601.18329v1 Announce Type: new Abstract: We propose a drone signal out-of-distribution (OOD) detection algorithm based on discriminability-driven spatial-channel selection with a gradient norm. Time-frequency image...
arXiv:2601.18334v1 Announce Type: new Abstract: As LLMs are increasingly integrated into clinical workflows, their tendency for sycophancy, prioritizing user agreement over factual accuracy, poses significant...
arXiv:2601.18335v1 Announce Type: new Abstract: Sound source localization (SSL) demonstrates remarkable results in controlled settings but struggles in real-world deployment due to dual imbalance challenges:...
arXiv:2601.18336v1 Announce Type: new Abstract: Multi-view 3D reconstruction methods remain highly sensitive to photometric inconsistencies arising from camera optical characteristics and variations in image signal...
arXiv:2601.18339v1 Announce Type: new Abstract: The Complete Vocal Technique (CVT) is a school of singing developed in the past decades by Cathrin Sadolin et al.....
arXiv:2601.18340v1 Announce Type: new Abstract: Despite the remarkable progress in text-driven video editing, generating coherent non-rigid deformations remains a critical challenge, often plagued by physical...
arXiv:2601.18341v1 Announce Type: new Abstract: In the first half of 2025, coding agents have emerged as a category of development tools that have very quickly...
arXiv:2601.18342v1 Announce Type: new Abstract: As financial institutions increasingly adopt machine learning for credit risk assessment, the persistence of algorithmic bias remains a critical barrier...
arXiv:2601.18344v1 Announce Type: new Abstract: The OpenSSF Scorecard is widely used to assess the security posture of open-source software repositories, with the Maintained metric indicating...
arXiv:2601.18345v1 Announce Type: new Abstract: In 2025, coding agents have seen a very rapid adoption. Coding agents leverage Large Language Models (LLMs) in ways that...
arXiv:2601.18346v1 Announce Type: new Abstract: Recent advances in multimodal large language models (MLLMs) have demonstrated impressive performance on existing low-level vision benchmarks, which primarily focus...
arXiv:2601.18348v1 Announce Type: new Abstract: We form a "map of tournaments" by adapting the map framework from the world of elections. By a tournament we...
arXiv:2601.18349v1 Announce Type: new Abstract: The Orbit Problem asks whether the orbit of a point under a matrix reaches a given target set. When the...
arXiv:2601.18350v1 Announce Type: new Abstract: Large language models (LLMs) show strong general capability but often struggle with medical terminology precision and safety-critical instruction following. We...
arXiv:2601.18352v1 Announce Type: new Abstract: LLMs struggle with Semantic Inertia: the inability to inhibit pre-trained priors (e.g., "Lava is Dangerous") when dynamic, in-context rules contradict...
arXiv:2601.18353v1 Announce Type: new Abstract: Creative writing has long been considered a uniquely human endeavor, requiring voice and style that machines could not replicate. This...
arXiv:2601.18356v1 Announce Type: new Abstract: Medical vision-language models (VLMs) achieve strong performance in diagnostic reporting and image-text alignment, yet their underlying reasoning mechanisms remain fundamentally...
arXiv:2601.18359v1 Announce Type: new Abstract: Curing of epoxy resins poses a particular challenge in terms of modeling, experimental investigation, and numerical implementation, as it is...
arXiv:2601.18361v1 Announce Type: new Abstract: This work evaluates the potential of High-Altitude Platform Stations (HAPS) and Low Earth Orbit (LEO) satellites as alternative or complementary...
arXiv:2601.18362v1 Announce Type: new Abstract: We study a variant of the synchronization game on finite deterministic automata. In this game, Alice chooses one input letter...
arXiv:2601.18364v1 Announce Type: new Abstract: In this work, a kernel-based surrogate for integrating Hamiltonian dynamics that is symplectic by construction and tailored to large prediction...
arXiv:2601.18368v1 Announce Type: new Abstract: We present OREHAS (Optimized Recognition & Evaluation of volumetric Hydrops in the Auditory System), the first fully automatic pipeline for...
arXiv:2601.18372v1 Announce Type: new Abstract: Gaze prediction plays a critical role in Virtual Reality (VR) applications by reducing sensor-induced latency and enabling computationally demanding techniques...
arXiv:2601.18374v1 Announce Type: new Abstract: City council minutes are typically lengthy and formal documents with a bureaucratic writing style. Although publicly available, their structure often...