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arXiv:2601.18302v1 Announce Type: new Abstract: This paper discusses the internal behavior of Transformer language models. Many recent pre-trained models have been reported to exhibit only...
arXiv:2601.18303v1 Announce Type: new Abstract: Consider a 4-player version of Matching Pennies where a team of three players competes against the Devil. Each player simultaneously...
arXiv:2601.18305v1 Announce Type: new Abstract: With the widespread adoption of Graphical User Interface (GUI) agents for automating GUI interaction tasks, substantial research focused on improving...
arXiv:2601.18306v1 Announce Type: new Abstract: Quantization is an effective technique for reducing the storage footprint and computational costs of Large Language Models (LLMs), but it...
arXiv:2601.18308v1 Announce Type: new Abstract: As climate-related hazards intensify, conventional early warning systems (EWS) disseminate alerts rapidly but often fail to trigger timely protective actions,...
arXiv:2601.18313v1 Announce Type: new Abstract: This paper presents a strictly convex chance-constrained stochastic control framework that accounts for uncertainty in control specifications such as reference...
arXiv:2601.18314v1 Announce Type: new Abstract: We report the design, protocol, and outcomes of a student reproducibility hackathon focused on replicating the results of three influential...
arXiv:2601.18315v1 Announce Type: new Abstract: The integration of Large Language Models (LLMs) into wireless networks presents significant potential for automating system design. However, unlike conventional...
arXiv:2601.18320v1 Announce Type: new Abstract: Real-world visualization tasks involve complex, multi-modal requirements that extend beyond simple text-to-chart generation, requiring reference images, code examples, and iterative...
arXiv:2601.18321v1 Announce Type: new Abstract: Multimodal emotion analysis is shifting from static classification to generative reasoning. Beyond simple label prediction, robust affective reasoning must synthesize...
arXiv:2601.18323v1 Announce Type: new Abstract: The vision-language-action (VLA) paradigm has enabled powerful robotic control by leveraging vision-language models, but its reliance on large-scale, high-quality robot...
arXiv:2601.18326v1 Announce Type: new Abstract: We propose a drone signal out-of-distribution detection (OODD) algorithm based on the cognitive fusion of Zadoff-Chu (ZC) sequences and time-frequency...
arXiv:2601.18328v1 Announce Type: new Abstract: We introduce the notion of an Active Proxy interface, i.e. tangible models as proxies for physical data referents, supporting interactive...
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...