Stay updated with the latest research and technology news
arXiv:2601.21112v1 Announce Type: new Abstract: Frontier language model agents can exhibit misaligned behaviors, including deception, exploiting reward hacks, and pursuing hidden objectives. To control potentially...
arXiv:2601.21113v1 Announce Type: new Abstract: Objective: Large language models (LLMs) show promise for clinical discharge planning, but their use is constrained by hallucination, omissions, and...
arXiv:2601.21115v1 Announce Type: new Abstract: Recent research advocates deploying smaller, specialized code LLMs in agentic frameworks alongside frontier models, sparking interest in efficient strategies for...
arXiv:2601.21116v1 Announce Type: new Abstract: This position paper argues that AI-assisted software engineering requires explicit mechanisms for tracking the epistemic status and temporal validity of...
arXiv:2601.21120v1 Announce Type: new Abstract: Proficiency in microanastomosis is a fundamental competency across multiple microsurgical disciplines. These procedures demand exceptional precision and refined technical skills,...
arXiv:2601.21123v1 Announce Type: new Abstract: Computer-Using Agents (CUAs) aim to autonomously operate computer systems to complete real-world tasks. However, existing agentic systems remain difficult to...
arXiv:2601.21124v1 Announce Type: new Abstract: Current multimodal LLMs process audio as a mono stream, ignoring the rich spatial information essential for embodied AI. Existing spatial...
arXiv:2601.21126v1 Announce Type: new Abstract: This paper presents an AI-augmented decentralized framework for multi-agent (multi-robot) environmental mapping under limited sensing and communication. While conventional coverage...
arXiv:2601.21128v1 Announce Type: new Abstract: Most Sign Language Translation (SLT) corpora pair each signed utterance with a single written-language reference, despite the highly non-isomorphic relationship...
arXiv:2601.21129v1 Announce Type: new Abstract: Wheelchairs and robotic arms enhance independent living by assisting individuals with upper-body and mobility limitations in their activities of daily...
arXiv:2601.21130v1 Announce Type: new Abstract: Self-reported emotion labels capture internal experience, while third-party labels reflect external perception. These perspectives often diverge, limiting the applicability of...
arXiv:2601.21132v1 Announce Type: new Abstract: I demonstrate that large language models can infer ethnicity from names with accuracy exceeding that of Bayesian Improved Surname Geocoding...
arXiv:2601.21135v1 Announce Type: new Abstract: Temporal causal representation learning methods assume that causal mechanisms switch instantaneously between discrete domains, yet real-world systems often exhibit continuous...
arXiv:2601.21138v1 Announce Type: new Abstract: Record linkage, the process of matching records that refer to the same entity across datasets, is essential to empirical social...
arXiv:2601.21141v1 Announce Type: new Abstract: This paper presents AnthropoCam, a mobile-based neural style transfer (NST) system optimized for the visual synthesis of Anthropocene environments. Unlike...
arXiv:2601.21146v1 Announce Type: new Abstract: Distributed time-sensitive systems must balance timing requirements (availability) and consistency in the presence of communication delays and synchronization uncertainty. This...
arXiv:2601.21147v1 Announce Type: new Abstract: Machine learning interatomic potentials (MLIPs) have proven to be wildly useful for molecular dynamics simulations, powering countless drug and materials...
arXiv:2601.21148v1 Announce Type: new Abstract: Decoding linguistic information from electroencephalography (EEG) remains challenging due to the brain's distributed and nonlinear organization. We present BrainStack, a...
arXiv:2601.21149v1 Announce Type: new Abstract: Recent progress in geospatial foundation models highlights the importance of learning general-purpose representations for real-world locations, particularly points-of-interest (POIs) where...
arXiv:2601.21150v1 Announce Type: new Abstract: While a real-world research program in mathematics may be guided by a motivating question, the process of mathematical discovery is...
arXiv:2601.21151v1 Announce Type: new Abstract: Recent machine-learning approaches to weather forecasting often employ a monolithic architecture, where distinct physical mechanisms (advection, transport), diffusion-like mixing, thermodynamic...
arXiv:2601.21157v1 Announce Type: new Abstract: While Large Language Models excel at semantic tasks, they face a critical bottleneck in financial quantitative reasoning, frequently suffering from...
arXiv:2601.21159v1 Announce Type: new Abstract: High-resolution remote sensing imagery is characterized by densely distributed land-cover objects and complex boundaries, which places higher demands on both...
arXiv:2601.21160v1 Announce Type: new Abstract: We study the problem of federated clustering when the total number of clusters $K$ across clients is unknown, and the...