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53907fb12fd52df703b97e0bbe1ee5601f94a128be9696df978a277aee9a04e9 | 2026-01-21T00:00:00-05:00 | Capability-Aware Early-Stage Research Idea Evaluation | arXiv:2601.12473v1 Announce Type: new Abstract: Predicting the outcomes of research ideas at their conceptual stage (i.e. before significant resources are committed) holds great potential for optimizing scientific resource allocation and research planning. While existing methods rely heavily on finished manuscripts or ... | https://arxiv.org/abs/2601.12473 | Academic Papers | svg |
61b4ae1662f4373f938dfc254645ebff6f1c1e41618aa0ddd3d6d7a8ff6187da | 2026-01-21T00:00:00-05:00 | Language-Based Swarm Perception: Decentralized Person Re-Identification via Natural Language Descriptions | arXiv:2601.12479v1 Announce Type: new Abstract: We introduce a method for decentralized person re-identification in robot swarms that leverages natural language as the primary representational modality. Unlike traditional approaches that rely on opaque visual embeddings -- high-dimensional feature vectors extracted fro... | https://arxiv.org/abs/2601.12479 | Academic Papers | svg |
2d1f5ee5a589c1d1662d4846703b154576d88b7e1e3e6fa57f09012fa1ae225e | 2026-01-21T00:00:00-05:00 | A Unified Neural Codec Language Model for Selective Editable Text to Speech Generation | arXiv:2601.12480v1 Announce Type: new Abstract: Neural codec language models achieve impressive zero-shot Text-to-Speech (TTS) by fully imitating the acoustic characteristics of a short speech prompt, including timbre, prosody, and paralinguistic information. However, such holistic imitation limits their ability to iso... | https://arxiv.org/abs/2601.12480 | Academic Papers | svg |
32ca64b163aea88ccf6eb8a423b3df685b72688c171b4caa6b77b8348afdc7b0 | 2026-01-21T00:00:00-05:00 | NeuralFur: Animal Fur Reconstruction From Multi-View Images | arXiv:2601.12481v1 Announce Type: new Abstract: Reconstructing realistic animal fur geometry from images is a challenging task due to the fine-scale details, self-occlusion, and view-dependent appearance of fur. In contrast to human hairstyle reconstruction, there are also no datasets that can be leveraged to learn a f... | https://arxiv.org/abs/2601.12481 | Academic Papers | svg |
6c442e23ed93cccb5f766368dc6a8f335ade0fb8405d5345a0a71dbb2a3a432b | 2026-01-21T00:00:00-05:00 | A Multimodal Assistive System for Product Localization and Retrieval for People who are Blind or have Low Vision | arXiv:2601.12486v1 Announce Type: new Abstract: Shopping is a routine activity for sighted individuals, yet for people who are blind or have low vision (pBLV), locating and retrieving products in physical environments remains a challenge. This paper presents a multimodal wearable assistive system that integrates object... | https://arxiv.org/abs/2601.12486 | Academic Papers | svg |
eb8ea6d446eb745c6eaf8436927f7804f25abb2a6f680aac213541860c80d923 | 2026-01-21T00:00:00-05:00 | VASTU: Value-Aligned Social Toolkit for Online Content Curation | arXiv:2601.12491v1 Announce Type: new Abstract: Detecting what content communities value is a foundational challenge for social computing systems -- from feed curation and content ranking to moderation tools and personalized recommendation systems. Yet existing approaches remain fragmented across methodological paradig... | https://arxiv.org/abs/2601.12491 | Academic Papers | svg |
f4513b9550e6d9be56e218c0d460fe20e873b9731b7401b192e72a9019df0517 | 2026-01-21T00:00:00-05:00 | Histopath-C: Towards Realistic Domain Shifts for Histopathology Vision-Language Adaptation | arXiv:2601.12493v1 Announce Type: new Abstract: Medical Vision-language models (VLMs) have shown remarkable performances in various medical imaging domains such as histo\-pathology by leveraging pre-trained, contrastive models that exploit visual and textual information. However, histopathology images may exhibit sever... | https://arxiv.org/abs/2601.12493 | Academic Papers | svg |
ce1510ce1fa90f0cdb2e480ce0b328be5a73b6acc8559fd790e8ac571a89a232 | 2026-01-21T00:00:00-05:00 | Harmonizing the Arabic Audio Space with Data Scheduling | arXiv:2601.12494v1 Announce Type: new Abstract: Audio large language models (LLMs) enable unified speech understanding and generation, yet their adaptation to linguistically complex, dialect-rich settings remains underexplored. This paper presents the first systematic study of multi-task instruction tuning for an Arabi... | https://arxiv.org/abs/2601.12494 | Academic Papers | svg |
0e6e6fc3277bc9c378ba7a6f1fe7511757337e3c6f2acef29d5f0cdd3f45aef8 | 2026-01-21T00:00:00-05:00 | Failure Modes in Multi-Hop QA: The Weakest Link Law and the Recognition Bottleneck | arXiv:2601.12499v1 Announce Type: new Abstract: Despite scaling to massive context windows, Large Language Models (LLMs) struggle with multi-hop reasoning due to inherent position bias, which causes them to overlook information at certain positions. Whether these failures stem from an inability to locate evidence (reco... | https://arxiv.org/abs/2601.12499 | Academic Papers | svg |
930626c2501face8687cd1d4ddcfe2503c0489b8b325e213dd99e09d53710e76 | 2026-01-21T00:00:00-05:00 | Video Individual Counting and Tracking from Moving Drones: A Benchmark and Methods | arXiv:2601.12500v1 Announce Type: new Abstract: Counting and tracking dense crowds in large-scale scenes is highly challenging, yet existing methods mainly rely on datasets captured by fixed cameras, which provide limited spatial coverage and are inadequate for large-scale dense crowd analysis. To address this limitati... | https://arxiv.org/abs/2601.12500 | Academic Papers | svg |
ecf0897e88488870e091cf9b91e91bd8145cffdff0ec9cdb1df5fe54eca82669 | 2026-01-21T00:00:00-05:00 | Semidefinite Programming for Quantum Channel Learning | arXiv:2601.12502v1 Announce Type: new Abstract: The problem of reconstructing a quantum channel from a sample of classical data is considered. When the total fidelity can be represented as a ratio of two quadratic forms (e.g., in the case of mapping a mixed state to a pure state, projective operators, unitary learning,... | https://arxiv.org/abs/2601.12502 | Academic Papers | svg |
c3f09bee7eef646d885ce2097e5b8cb68801804f955e514f2ba97808b60a2887 | 2026-01-21T00:00:00-05:00 | Hard Clique Formulas for Resolution | arXiv:2601.12503v1 Announce Type: new Abstract: We show how to convert any unsatisfiable 3-CNF formula which is sparse and exponentially hard to refute in Resolution into a negative instance of the $k$-clique problem whose corresponding natural encoding as a CNF formula is $n^{\Omega(k)}$-hard to refute in Resolution. ... | https://arxiv.org/abs/2601.12503 | Academic Papers | svg |
6b90cd77c58dafaca6923038eee3e5d7f5cc18cf2050e7a0b9edd88bb365e77b | 2026-01-21T00:00:00-05:00 | DoPE: Decoy Oriented Perturbation Encapsulation Human-Readable, AI-Hostile Documents for Academic Integrity | arXiv:2601.12505v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) can directly consume exam documents, threatening conventional assessments and academic integrity. We present DoPE (Decoy-Oriented Perturbation Encapsulation), a document-layer defense framework that embeds semantic decoys into PDF/... | https://arxiv.org/abs/2601.12505 | Academic Papers | svg |
d472320fe8fa1865db1ea56ce5ca3174439d8d8784e2b0432c0dfded401b42ff | 2026-01-21T00:00:00-05:00 | SDCoNet: Saliency-Driven Multi-Task Collaborative Network for Remote Sensing Object Detection | arXiv:2601.12507v1 Announce Type: new Abstract: In remote sensing images, complex backgrounds, weak object signals, and small object scales make accurate detection particularly challenging, especially under low-quality imaging conditions. A common strategy is to integrate single-image super-resolution (SR) before detec... | https://arxiv.org/abs/2601.12507 | Academic Papers | svg |
e28f225b21694c74834ecf4c3a6c741cf4e605550228fc3c64c637e9f077110e | 2026-01-21T00:00:00-05:00 | AlphaSyndrome: Tackling the Syndrome Measurement Circuit Scheduling Problem for QEC Codes | arXiv:2601.12509v1 Announce Type: new Abstract: Quantum error correction (QEC) is essential for scalable quantum computing, yet repeated syndrome-measurement cycles dominate its spacetime and hardware cost. Although stabilizers commute and admit many valid execution orders, different schedules induce distinct error-pro... | https://arxiv.org/abs/2601.12509 | Academic Papers | svg |
d86daea26e6faa89868a59c05bcdf0f8eec16971f243b1686dcf876b71c0e2fc | 2026-01-21T00:00:00-05:00 | Fine-Tuning Cycle-GAN for Domain Adaptation of MRI Images | arXiv:2601.12512v1 Announce Type: new Abstract: Magnetic Resonance Imaging (MRI) scans acquired from different scanners or institutions often suffer from domain shifts owing to variations in hardware, protocols, and acquisition parameters. This discrepancy degrades the performance of deep learning models trained on sou... | https://arxiv.org/abs/2601.12512 | Academic Papers | svg |
5cea11da0cd1e884ad2c191cd52932b99dc2f7d9a3bd0115e796a5333f9f2dde | 2026-01-21T00:00:00-05:00 | Cooperative Multi-agent RL with Communication Constraints | arXiv:2601.12518v1 Announce Type: new Abstract: Cooperative MARL often assumes frequent access to global information in a data buffer, such as team rewards or other agents' actions, which is typically unrealistic in decentralized MARL systems due to high communication costs. When communication is limited, agents must r... | https://arxiv.org/abs/2601.12518 | Academic Papers | svg |
aa01da9ef1dd3c9c0fb9e0a94eacbdc8f98cc3ffb3268c5bc7055095f6e2917d | 2026-01-21T00:00:00-05:00 | Learning Relativistic Geodesics and Chaotic Dynamics via Stabilized Lagrangian Neural Networks | arXiv:2601.12519v1 Announce Type: new Abstract: Lagrangian Neural Networks (LNNs) can learn arbitrary Lagrangians from trajectory data, but their unusual optimization objective leads to significant training instabilities that limit their application to complex systems. We propose several improvements that address these... | https://arxiv.org/abs/2601.12519 | Academic Papers | svg |
8aa00ac53f55e26080b0401aeeb25efbbbba07612133893025d312a122938a25 | 2026-01-21T00:00:00-05:00 | Improved Bug Localization with AI Agents Leveraging Hypothesis and Dynamic Cognition | arXiv:2601.12522v1 Announce Type: new Abstract: Software bugs cost technology providers (e.g., AT&T) billions annually and cause developers to spend roughly 50% of their time on bug resolution. Traditional methods for bug localization often analyze the suspiciousness of code components (e.g., methods, documents) in... | https://arxiv.org/abs/2601.12522 | Academic Papers | svg |
2e6ddbbbd27de037eaca1eafce785e0e22cccbd2470556870797e40f39c94c3a | 2026-01-21T00:00:00-05:00 | Enabling High-Curvature Navigation in Eversion Robots through Buckle-Inducing Constrictive Bands | arXiv:2601.12523v1 Announce Type: new Abstract: Tip-growing eversion robots are renowned for their ability to access remote spaces through narrow passages. However, achieving reliable navigation remains a significant challenge. Existing solutions often rely on artificial muscles integrated into the robot body or active... | https://arxiv.org/abs/2601.12523 | Academic Papers | svg |
fc578aa3a068bd154cee943bbc5ecb09c2b0db66f1bf6a7131c30fc7b0af861a | 2026-01-21T00:00:00-05:00 | SGCP: A Self-Organized Game-Theoretic Framework For Collaborative Perception | arXiv:2601.12524v1 Announce Type: new Abstract: Collaborative perception holds great promise for improving safety in autonomous driving, particularly in dense traffic where vehicles can share sensory information to overcome individual blind spots and extend awareness. However, deploying such collaboration at scale rema... | https://arxiv.org/abs/2601.12524 | Academic Papers | svg |
cbd8540df7bd659811a1abcc74d2d9ff2ca7e9cca4576611356ef91c78961b6b | 2026-01-21T00:00:00-05:00 | Approximating splits for decision trees quickly in sparse data streams | arXiv:2601.12525v1 Announce Type: new Abstract: Decision trees are one of the most popular classifiers in the machine learning literature. While the most common decision tree learning algorithms treat data as a batch, numerous algorithms have been proposed to construct decision trees from a data stream. A standard trai... | https://arxiv.org/abs/2601.12525 | Academic Papers | svg |
9f8b9bb4240c5ed0d187c0820978452b656c3cf10258855a0e08cf0375248162 | 2026-01-21T00:00:00-05:00 | Deep Feature Deformation Weights | arXiv:2601.12527v1 Announce Type: new Abstract: Handle-based mesh deformation has been a long-standing paradigm in computer graphics, enabling intuitive shape edits from sparse controls. Classic techniques offer precise and rapid deformation control. However, they solve an optimization problem with constraints defined ... | https://arxiv.org/abs/2601.12527 | Academic Papers | svg |
ec53d2a250b9bf6c3688845ec60ab1faaabd3d824ea39ed7a4567c8b09f44140 | 2026-01-21T00:00:00-05:00 | How to Get Close to the Median Shape | arXiv:2601.12529v1 Announce Type: new Abstract: $\renewcommand{\Re}{\mathbb{R}}\newcommand{\eps}{{\varepsilon}}\newcommand{\poly}{\mathrm{poly}} $In this paper, we study the problem of $L_1$-fitting a shape to a set of $n$ points in $\Re^d$ (where $d$ is a fixed constant), where the target is to minimize the sum of dis... | https://arxiv.org/abs/2601.12529 | Academic Papers | svg |
9eb46ce5c71437037eea5e3b53f8251bce64cfc66292ea964b0fa30747545af5 | 2026-01-21T00:00:00-05:00 | XRefine: Attention-Guided Keypoint Match Refinement | arXiv:2601.12530v1 Announce Type: new Abstract: Sparse keypoint matching is crucial for 3D vision tasks, yet current keypoint detectors often produce spatially inaccurate matches. Existing refinement methods mitigate this issue through alignment of matched keypoint locations, but they are typically detector-specific, r... | https://arxiv.org/abs/2601.12530 | Academic Papers | svg |
363a46ae68ca0a5ca4e064a3cbe9135e1b1cda5170e5b82529101b8c9f3f62ef | 2026-01-21T00:00:00-05:00 | BirdsEye-RU: A Dataset For Detecting Faces from Overhead Images | arXiv:2601.12533v1 Announce Type: new Abstract: Detecting faces in overhead images remains a significant challenge due to extreme scale variations and environmental clutter. To address this, we created the BirdsEye-RU dataset, a comprehensive collection of 2,978 images containing over eight thousand annotated faces. Th... | https://arxiv.org/abs/2601.12533 | Academic Papers | svg |
0461489a13bc072ce24a7b12414677074920aea49f53058c48d14837dc56098f | 2026-01-21T00:00:00-05:00 | Encoding Emotion Through Self-Supervised Eye Movement Reconstruction | arXiv:2601.12534v1 Announce Type: new Abstract: The relationship between emotional expression and eye movement is well-documented, with literature establishing gaze patterns are reliable indicators of emotion. However, most studies utilize specialized, high-resolution eye-tracking equipment, limiting the potential reac... | https://arxiv.org/abs/2601.12534 | Academic Papers | svg |
93bcd0d55127ea001fe7a271b0d844457ca6d16d5d8bb4edb251bd5e49dc665c | 2026-01-21T00:00:00-05:00 | Improving Low-Resource Machine Translation via Round-Trip Reinforcement Learning | arXiv:2601.12535v1 Announce Type: new Abstract: Low-resource machine translation (MT) has gained increasing attention as parallel data from low-resource language communities is collected, but many potential methods for improving low-resource MT remain unexplored. We investigate a self-supervised reinforcement-learning-... | https://arxiv.org/abs/2601.12535 | Academic Papers | svg |
79d1a982cff53919b7cd0abf8bf774866c669d8287fc4629ab5dbff821568c60 | 2026-01-21T00:00:00-05:00 | Agentic Reasoning for Large Language Models | arXiv:2601.12538v1 Announce Type: new Abstract: Reasoning is a fundamental cognitive process underlying inference, problem-solving, and decision-making. While large language models (LLMs) demonstrate strong reasoning capabilities in closed-world settings, they struggle in open-ended and dynamic environments. Agentic re... | https://arxiv.org/abs/2601.12538 | Academic Papers | svg |
41253152525f1c4008b8353ff9a39cb0a3368ec7b1075c11cb447d7997a93f2a | 2026-01-21T00:00:00-05:00 | MemeLens: Multilingual Multitask VLMs for Memes | arXiv:2601.12539v1 Announce Type: new Abstract: Memes are a dominant medium for online communication and manipulation because meaning emerges from interactions between embedded text, imagery, and cultural context. Existing meme research is distributed across tasks (hate, misogyny, propaganda, sentiment, humour) and lan... | https://arxiv.org/abs/2601.12539 | Academic Papers | svg |
a024e88344ddfd8221fa878e3c43352764a7351a83f0e8e40ad0b737b356dea7 | 2026-01-21T00:00:00-05:00 | Rethinking the AI Scientist: Interactive Multi-Agent Workflows for Scientific Discovery | arXiv:2601.12542v1 Announce Type: new Abstract: Artificial intelligence systems for scientific discovery have demonstrated remarkable potential, yet existing approaches remain largely proprietary and operate in batch-processing modes requiring hours per research cycle, precluding real-time researcher guidance. This pap... | https://arxiv.org/abs/2601.12542 | Academic Papers | svg |
618d743067027fb1d9183aa6b41d0ff4aca1df8b1b8b0716a83494460656ca53 | 2026-01-21T00:00:00-05:00 | Press Start to Charge: Videogaming the Online Centralized Charging Scheduling Problem | arXiv:2601.12543v1 Announce Type: new Abstract: We study the online centralized charging scheduling problem (OCCSP). In this problem, a central authority must decide, in real time, when to charge dynamically arriving electric vehicles (EVs), subject to capacity limits, with the objective of balancing load across a fini... | https://arxiv.org/abs/2601.12543 | Academic Papers | svg |
89d829506e2896748649fa6a947870f0c4b987b493ba6786dd71b535183aceab | 2026-01-21T00:00:00-05:00 | Information Farming: From Berry Picking to Berry Growing | arXiv:2601.12544v1 Announce Type: new Abstract: The classic paradigms of Berry Picking and Information Foraging Theory have framed users as gatherers, opportunistically searching across distributed sources to satisfy evolving information needs. However, the rise of GenAI is driving a fundamental transformation in how p... | https://arxiv.org/abs/2601.12544 | Academic Papers | svg |
bcaed4ca5e99d83a70beaa4b3e1d03d608833c8fd5e3406782503f1b91591d15 | 2026-01-21T00:00:00-05:00 | An Experimental Comparison of Sliding Mode and Immersion and Invariance Adaptive Controllers forPosition-feedback Tracking of a Simple Mechanical System with Friction | arXiv:2601.12545v1 Announce Type: new Abstract: The purpose of this paper is to illustrate, in an experimental facility consisting of a simple pendular device, the performance of a sliding mode adaptive position-feedback tracking controller of mechanical systems with friction reported in the literature. To put this exp... | https://arxiv.org/abs/2601.12545 | Academic Papers | svg |
18226eaca8ab163db87e9ffc4538206fabd5ed9bfc06a389a09c68332e3998de | 2026-01-21T00:00:00-05:00 | How Clinicians Think and What AI Can Learn From It | arXiv:2601.12547v1 Announce Type: new Abstract: Most clinical AI systems operate as prediction engines -- producing labels or risk scores -- yet real clinical reasoning is a time-bounded, sequential control problem under uncertainty. Clinicians interleave information gathering with irreversible actions, guided by regre... | https://arxiv.org/abs/2601.12547 | Academic Papers | svg |
ce6514ec64a4286d2ada0e0e21b57e7f05fdfbec9c106080555a63ebc59f27f7 | 2026-01-21T00:00:00-05:00 | Traffic Collisions: Temporal Patterns and Severity-Weighted Hotspot Analysis | arXiv:2601.12548v1 Announce Type: new Abstract: Understanding traffic collision patterns is of high importance for effective road safety planning in fast-growing urban environments. This study examines the temporal and spatial patterns of traffic collisions in Dubai, UAE, with a particular focus on collision severity. ... | https://arxiv.org/abs/2601.12548 | Academic Papers | svg |
f1ea37c1d489348f264a5858260f04dcb22fdb2dc9428be595a58ff65a06efec | 2026-01-21T00:00:00-05:00 | Benchmarking Concept-Spilling Across Languages in LLMs | arXiv:2601.12549v1 Announce Type: new Abstract: Multilingual Large Language Models (LLMs) exhibit remarkable cross-lingual abilities, yet often exhibit a systematic bias toward the representations from other languages, resulting in semantic interference when generating content in non-English languages$-$a phenomenon we... | https://arxiv.org/abs/2601.12549 | Academic Papers | svg |
0842800cbeb9eaa0f4705395bb664327a52c4be8ef08eea80f457d7de4655dc8 | 2026-01-21T00:00:00-05:00 | PISE: Physics-Anchored Semantically-Enhanced Deep Computational Ghost Imaging for Robust Low-Bandwidth Machine Perception | arXiv:2601.12551v1 Announce Type: new Abstract: We propose PISE, a physics-informed deep ghost imaging framework for low-bandwidth edge perception. By combining adjoint operator initialization with semantic guidance, PISE improves classification accuracy by 2.57% and reduces variance by 9x at 5% sampling. | https://arxiv.org/abs/2601.12551 | Academic Papers | svg |
0e8a214e7eeac753418a83a29385ab252049fde5748eb30257d031cbddc9fc51 | 2026-01-21T00:00:00-05:00 | Evaluating Contextually Mediated Factual Recall in Multilingual Large Language Models | arXiv:2601.12555v1 Announce Type: new Abstract: Large language models (LLMs) can recall a wide range of factual knowledge across languages. However, existing factual recall evaluations primarily assess fact retrieval in isolation, where the queried entity is explicitly named and the fact is requested directly. In natur... | https://arxiv.org/abs/2601.12555 | Academic Papers | svg |
6ef5d05e909b596bb3c7477f37feb3e6fa64ffec593173848c77669534c43c55 | 2026-01-21T00:00:00-05:00 | Life, Machine Learning, and the Search for Habitability: Predicting Biosignature Fluxes for the Habitable Worlds Observatory | arXiv:2601.12557v1 Announce Type: new Abstract: Future direct-imaging flagship missions, such as NASA's Habitable Worlds Observatory (HWO), face critical decisions in prioritizing observations due to extremely stringent time and resource constraints. In this paper, we introduce two advanced machine-learning architectur... | https://arxiv.org/abs/2601.12557 | Academic Papers | svg |
aa0b82203f68a07d700fd9ac0adbcc49e3510a01a0c405a0f6a1d156b1703e02 | 2026-01-21T00:00:00-05:00 | Automated Tool Support for Category-Partition Testing: Design Decisions, UI and Examples of Use | arXiv:2601.12559v1 Announce Type: new Abstract: Category-Partition is a functional testing technique that is based on the idea that the input domain of the system under test can be divided into sub-domains, with the assumption that inputs that belong to the same sub-domain trigger a similar behaviour and that therefore... | https://arxiv.org/abs/2601.12559 | Academic Papers | svg |
ddb7b597fdfbf7780a6e968714c1162fde6ef7cab1f8160414c50da5bf27a374 | 2026-01-21T00:00:00-05:00 | Agentic Artificial Intelligence (AI): Architectures, Taxonomies, and Evaluation of Large Language Model Agents | arXiv:2601.12560v1 Announce Type: new Abstract: Artificial Intelligence is moving from models that only generate text to Agentic AI, where systems behave as autonomous entities that can perceive, reason, plan, and act. Large Language Models (LLMs) are no longer used only as passive knowledge engines but as cognitive co... | https://arxiv.org/abs/2601.12560 | Academic Papers | svg |
1d05a9e2ba6d4cde32cc1235fe950063155eb42717973af380183488585edf10 | 2026-01-21T00:00:00-05:00 | VR ProfiLens: User Profiling Risks in Consumer Virtual Reality Apps | arXiv:2601.12563v1 Announce Type: new Abstract: Virtual reality (VR) platforms and apps collect user sensor data, including motion, facial, eye, and hand data, in abstracted form. These data may expose users to unique privacy risks without their knowledge or meaningful awareness, yet the extent of these risks remains u... | https://arxiv.org/abs/2601.12563 | Academic Papers | svg |
6e1d3eaf6243a23b9653ca67d35db0bb01e209f75305a3262e02fa056d69365a | 2026-01-21T00:00:00-05:00 | Camera Pose Revisited | arXiv:2601.12567v1 Announce Type: new Abstract: Estimating the position and orientation of a camera with respect to an observed scene is one of the central problems in computer vision, particularly in the context of camera calibration and multi-sensor systems. This paper addresses the planar Perspective--$n$--Point pro... | https://arxiv.org/abs/2601.12567 | Academic Papers | svg |
ee95c338b8b9b0a66d7ed7b4eb8cddc6c962edfd7d5b479fd50a4f067beba1b8 | 2026-01-21T00:00:00-05:00 | The Origin of the Inaccessible Game | arXiv:2601.12576v1 Announce Type: new Abstract: The inaccessible game is an information-geometric framework where dynamics of information loss emerge from maximum entropy production under marginal-entropy conservation. We study the game's starting state, the origin. Classical Shannon entropy forbids a representation wi... | https://arxiv.org/abs/2601.12576 | Academic Papers | svg |
397efaebd43d2b85b42e7a10e50e25186dfcdf76386de5d9cc2e7f69abbdfc1f | 2026-01-21T00:00:00-05:00 | Semantic Fusion: Verifiable Alignment in Decentralized Multi-Agent Systems | arXiv:2601.12580v1 Announce Type: new Abstract: We present Semantic Fusion (SF), a formal framework for decentralized semantic coordination in multi-agent systems. SF allows agents to operate over scoped views of shared memory, propose structured updates, and maintain global coherence through local ontology-based valid... | https://arxiv.org/abs/2601.12580 | Academic Papers | svg |
79e5a57c731dd28fe40ccbf48cbe36cc63affe48344f1d7bd5e9f52b44c172a4 | 2026-01-21T00:00:00-05:00 | Do MLLMs See What We See? Analyzing Visualization Literacy Barriers in AI Systems | arXiv:2601.12585v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) are increasingly used to interpret visualizations, yet little is known about why they fail. We present the first systematic analysis of barriers to visualization literacy in MLLMs. Using the regenerated Visualization Literacy Asses... | https://arxiv.org/abs/2601.12585 | Academic Papers | svg |
ee9c0a1ae2892ce122325a8a7b9749477c08dc70a181ff0404a8bf13e0623f47 | 2026-01-21T00:00:00-05:00 | Conversing with Objects toward Fluid Human and Artificial Identities during Life Transitions | arXiv:2601.12589v1 Announce Type: new Abstract: People's identities change during life transitions, e.g., studying abroad. They bring everyday objects that embody memories and reflect their identities during such moves. To assist in these transitions, we ask how people's human identities could be influenced by their ob... | https://arxiv.org/abs/2601.12589 | Academic Papers | svg |
47ddaf2b5510321234bf4634f4005150b732f371c7d1f81eed94509d250d9b46 | 2026-01-21T00:00:00-05:00 | SmoothCLAP: Soft-Target Enhanced Contrastive Language\--Audio Pretraining for Affective Computing | arXiv:2601.12591v1 Announce Type: new Abstract: The ambiguity of human emotions poses several challenges for machine learning models, as they often overlap and lack clear delineating boundaries. Contrastive language-audio pretraining (CLAP) has emerged as a key technique for generalisable emotion recognition. However, ... | https://arxiv.org/abs/2601.12591 | Academic Papers | svg |
cbcafd1b20b58146bc9e606c230210cef17983e257f2d893f95524bf174e49c1 | 2026-01-21T00:00:00-05:00 | Blurred Drinker Paradoxes and Blurred Choice Axioms: Constructive Reverse Mathematics of the Downward L\"owenheim-Skolem Theorem | arXiv:2601.12592v1 Announce Type: new Abstract: In the setting of constructive reverse mathematics, we analyse the downward L\"owenheim-Skolem (DLS) theorem of first-order logic, stating that every infinite model has a countable elementary submodel. Refining the well-known equivalence of the DLS theorem to the axiom of... | https://arxiv.org/abs/2601.12592 | Academic Papers | svg |
bbed39804f2e862e33c1803654a033daebe195fe636aa1042471cdd492ef2ffb | 2026-01-21T00:00:00-05:00 | Abusing the Internet of Medical Things: Evaluating Threat Models and Forensic Readiness for Multi-Vector Attacks on Connected Healthcare Devices | arXiv:2601.12593v1 Announce Type: new Abstract: Individuals experiencing interpersonal violence (IPV), who depend on medical devices, represent a uniquely vulnerable population as healthcare technologies become increasingly connected. Despite rapid growth in MedTech innovation and "health-at-home" ecosystems, the inter... | https://arxiv.org/abs/2601.12593 | Academic Papers | svg |
1dde33618b6314b8bface96ce616196d125f74aabc00dc675cdda84a08b5f81f | 2026-01-21T00:00:00-05:00 | Dissecting Linear Recurrent Models: How Different Gating Strategies Drive Selectivity and Generalization | arXiv:2601.12598v1 Announce Type: new Abstract: Linear recurrent neural networks have emerged as efficient alternatives to the original Transformer's softmax attention mechanism, thanks to their highly parallelizable training and constant memory and computation requirements at inference. Iterative refinements of these ... | https://arxiv.org/abs/2601.12598 | Academic Papers | svg |
dcb8b24e49551d01e0048bbc4e97922e3bdc8f196c1deb6dc747d7bc9d5332eb | 2026-01-21T00:00:00-05:00 | SSVD-O: Parameter-Efficient Fine-Tuning with Structured SVD for Speech Recognition | arXiv:2601.12600v1 Announce Type: new Abstract: Parameter-efficient fine-tuning (PEFT) is a scalable approach for adapting large speech foundation models to new domains. While methods such as LoRA and its state-of-the-art variants reduce adaptation costs, they typically allocate parameters uniformly across model subspa... | https://arxiv.org/abs/2601.12600 | Academic Papers | svg |
8d16f445b4a42d7e6dceaf3f2ec4bde0fa799203bdb8f421c304521ab6a2f879 | 2026-01-21T00:00:00-05:00 | Beyond Softmax and Entropy: Improving Convergence Guarantees of Policy Gradients by f-SoftArgmax Parameterization with Coupled Regularization | arXiv:2601.12604v1 Announce Type: new Abstract: Policy gradient methods are known to be highly sensitive to the choice of policy parameterization. In particular, the widely used softmax parameterization can induce ill-conditioned optimization landscapes and lead to exponentially slow convergence. Although this can be m... | https://arxiv.org/abs/2601.12604 | Academic Papers | svg |
27518db631ef2440cf720b9f9936dcabb0bfef9d0527d5b8a007a99431801435 | 2026-01-21T00:00:00-05:00 | Explicit Almost-Optimal $\varepsilon$-Balanced Codes via Free Expander Walks | arXiv:2601.12606v1 Announce Type: new Abstract: We study the problem of constructing explicit codes whose rate and distance match the Gilbert-Varshamov bound in the low-rate, high-distance regime. In 2017, Ta-Shma gave an explicit family of codes where every pair of codewords has relative distance $\frac{1-\varepsilon}... | https://arxiv.org/abs/2601.12606 | Academic Papers | svg |
db84f7d7da4f2be1ebacd56aa0004331255fdf27e4d0b8884cfdf4e49be2d2a4 | 2026-01-21T00:00:00-05:00 | A Cloud-based Multi-Agentic Workflow for Science | arXiv:2601.12607v1 Announce Type: new Abstract: As Large Language Models (LLMs) become ubiquitous across various scientific domains, their lack of ability to perform complex tasks like running simulations or to make complex decisions limits their utility. LLM-based agents bridge this gap due to their ability to call ex... | https://arxiv.org/abs/2601.12607 | Academic Papers | svg |
76f40613860b01ff83f2b6a65cf58b0963369b80bfbda2ce0e156dfc8be50535 | 2026-01-21T00:00:00-05:00 | HERMES: A Unified Open-Source Framework for Realtime Multimodal Physiological Sensing, Edge AI, and Intervention in Closed-Loop Smart Healthcare Applications | arXiv:2601.12610v1 Announce Type: new Abstract: Intelligent assistive technologies are increasingly recognized as critical daily-use enablers for people with disabilities and age-related functional decline. Longitudinal studies, curation of quality datasets, live monitoring in activities of daily living, and intelligen... | https://arxiv.org/abs/2601.12610 | Academic Papers | svg |
251f4f2f74b1394da0abec744b271b7e30c3b7be1de2e5a42d1e302bdba82030 | 2026-01-21T00:00:00-05:00 | What Trace Powers Reveal About Log-Determinants: Closed-Form Estimators, Certificates, and Failure Modes | arXiv:2601.12612v1 Announce Type: new Abstract: Computing $\log\det(A)$ for large symmetric positive definite matrices arises in Gaussian process inference and Bayesian model comparison. Standard methods combine matrix-vector products with polynomial approximations. We study a different model: access to trace powers $p... | https://arxiv.org/abs/2601.12612 | Academic Papers | svg |
99d408edd76e7cc897460490ea401998e340feae99217725703e16185e2526ca | 2026-01-21T00:00:00-05:00 | Allocating Corrective Control to Mitigate Multi-agent Safety Violations Under Private Preferences | arXiv:2601.12616v1 Announce Type: new Abstract: We propose a novel framework that computes the corrective control efforts to ensure joint safety in multi-agent dynamical systems. This framework efficiently distributes the required corrective effort without revealing individual agents' private preferences. Our framework... | https://arxiv.org/abs/2601.12616 | Academic Papers | svg |
59edb868f6f7606e56b2e0d778393a2d73f66f72821494054774197c9a9fdfe3 | 2026-01-21T00:00:00-05:00 | Creating Disability Story Videos with Generative AI: Motivation, Expression, and Sharing | arXiv:2601.12617v1 Announce Type: new Abstract: Generative AI (GenAI) is both promising and challenging in supporting people with disabilities (PwDs) in creating stories about disability. GenAI can reduce barriers to media production and inspire the creativity of PwDs, but it may also introduce biases and imperfections... | https://arxiv.org/abs/2601.12617 | Academic Papers | svg |
424234f598b852d1f322febcc17619832550ada804e2a762f6038096c4d6152f | 2026-01-21T00:00:00-05:00 | Disagreement as Data: Reasoning Trace Analytics in Multi-Agent Systems | arXiv:2601.12618v1 Announce Type: new Abstract: Learning analytics researchers often analyze qualitative student data such as coded annotations or interview transcripts to understand learning processes. With the rise of generative AI, fully automated and human-AI workflows have emerged as promising methods for analysis... | https://arxiv.org/abs/2601.12618 | Academic Papers | svg |
8d01f5c8152030f56743405e923b903f1f6a83cf6f9521e6c4963c13c4e62ccd | 2026-01-21T00:00:00-05:00 | Learning Deterministic Finite-State Machines from the Prefixes of a Single String is NP-Complete | arXiv:2601.12621v1 Announce Type: new Abstract: It is well known that computing a minimum DFA consistent with a given set of positive and negative examples is NP-hard. Previous work has identified conditions on the input sample under which the problem becomes tractable or remains hard. In this paper, we study the compu... | https://arxiv.org/abs/2601.12621 | Academic Papers | svg |
e0fe15574d02260ddde947d31887ff9352ad13c7e971c4763bdbe81adcf32f3f | 2026-01-21T00:00:00-05:00 | Towards Robust Universal Perturbation Attacks: A Float-Coded, Penalty-Driven Evolutionary Approach | arXiv:2601.12624v1 Announce Type: new Abstract: Universal adversarial perturbations (UAPs) have garnered significant attention due to their ability to undermine deep neural networks across multiple inputs using a single noise pattern. Evolutionary algorithms offer a promising approach to generating such perturbations d... | https://arxiv.org/abs/2601.12624 | Academic Papers | svg |
d0ff85fd7ef248148b4a348a6cbeb0132c843e60c422f111e87163fe9398246d | 2026-01-21T00:00:00-05:00 | Resilient Interval Observer-Based Control for Cooperative Adaptive Cruise Control under FDI Attack | arXiv:2601.12625v1 Announce Type: new Abstract: Connectivity in connected and autonomous vehicles (CAVs) introduces vulnerability to cyber threats such as false data injection (FDI) attacks, which can compromise system reliability and safety. To ensure resilience, this paper proposes a control framework combining a non... | https://arxiv.org/abs/2601.12625 | Academic Papers | svg |
06a8de7eccb8511c2d845e717d7bdc6ff2800dbefd0ccf430419f2bf8d9a4e8e | 2026-01-21T00:00:00-05:00 | Linear Mechanisms for Spatiotemporal Reasoning in Vision Language Models | arXiv:2601.12626v1 Announce Type: new Abstract: Spatio-temporal reasoning is a remarkable capability of Vision Language Models (VLMs), but the underlying mechanisms of such abilities remain largely opaque. We postulate that visual/geometrical and textual representations of spatial structure must be combined at some poi... | https://arxiv.org/abs/2601.12626 | Academic Papers | svg |
8d3454b3cee8a69b4ff7e7ced1c0d366d42337fd6bcc81a06381aac721a5fcf6 | 2026-01-21T00:00:00-05:00 | Constructing a Dataset to Support Agent-Based Modeling of Online Interactions: Users, Topics, and Interaction Networks | arXiv:2601.12628v1 Announce Type: new Abstract: Agent-based modeling (ABM) provides a powerful framework for exploring how individual behaviors and interactions give rise to collective social dynamics. However, most ABMs rely on handcrafted or parameterized agent rules that are not empirically grounded, thereby limitin... | https://arxiv.org/abs/2601.12628 | Academic Papers | svg |
52bb7a5bc9e7ff3ff867766eb6a1f640e67060a2b1d0ebf3a80d88fe9ef93d99 | 2026-01-21T00:00:00-05:00 | BioPulse-QA: A Dynamic Biomedical Question-Answering Benchmark for Evaluating Factuality, Robustness, and Bias in Large Language Models | arXiv:2601.12632v1 Announce Type: new Abstract: Objective: Large language models (LLMs) are increasingly applied in biomedical settings, and existing benchmark datasets have played an important role in supporting model development and evaluation. However, these benchmarks often have limitations. Many rely on static or ... | https://arxiv.org/abs/2601.12632 | Academic Papers | svg |
26b39d54b6f2bedaae870b6657358b253ea7a6f7c82e9f115e5e85d665a57a6b | 2026-01-21T00:00:00-05:00 | The Cost of Convenience: Identifying, Analyzing, and Mitigating Predatory Loan Applications on Android | arXiv:2601.12634v1 Announce Type: new Abstract: Digital lending applications, commonly referred to as loan apps, have become a primary channel for microcredit in emerging markets. However, many of these apps demand excessive permissions and misuse sensitive user data for coercive debt-recovery practices, including hara... | https://arxiv.org/abs/2601.12634 | Academic Papers | svg |
1ede5facc97b08cb1dca031119d3fe4bfbd22aaa08c848aaaee25aaf65aaa57b | 2026-01-21T00:00:00-05:00 | From Bands to Depth: Understanding Bathymetry Decisions on Sentinel-2 | arXiv:2601.12636v1 Announce Type: new Abstract: Deploying Sentinel-2 satellite derived bathymetry (SDB) robustly across sites remains challenging. We analyze a Swin-Transformer based U-Net model (Swin-BathyUNet) to understand how it infers depth and when its predictions are trustworthy. A leave-one-band out study ranks... | https://arxiv.org/abs/2601.12636 | Academic Papers | svg |
dd1b7dd333aded3a51e588666a513ec7b901955653139a971ad208e0b6dec902 | 2026-01-21T00:00:00-05:00 | Topology-Aware Multiscale Mixture of Experts for Efficient Molecular Property Prediction | arXiv:2601.12637v1 Announce Type: new Abstract: Many molecular properties depend on 3D geometry, where non-covalent interactions, stereochemical effects, and medium- to long-range forces are determined by spatial distances and angles that cannot be uniquely captured by a 2D bond graph. Yet most 3D molecular graph neura... | https://arxiv.org/abs/2601.12637 | Academic Papers | svg |
25639cb3df417af8c3c782bfc2f717b9f2bb58a25b161fce624ad3e8265b6ec3 | 2026-01-21T00:00:00-05:00 | Mixed Precision PointPillars for Efficient 3D Object Detection with TensorRT | arXiv:2601.12638v1 Announce Type: new Abstract: LIDAR 3D object detection is one of the important tasks for autonomous vehicles. Ensuring that this task operates in real-time is crucial. Toward this, model quantization can be used to accelerate the runtime. However, directly applying model quantization often leads to p... | https://arxiv.org/abs/2601.12638 | Academic Papers | svg |
aadb6563490a7ba8a659cb8eab29e215914eb67c28549abdf0ccd9021a49344c | 2026-01-21T00:00:00-05:00 | Objective Matters: Fine-Tuning Objectives Shape Safety, Robustness, and Persona Drift | arXiv:2601.12639v1 Announce Type: new Abstract: Fine-tuning LLMs on benign data can still degrade alignment and adversarial robustness, yet direct analysis of the role of fine-tuning objectives in shaping these safety outcomes remain limited. We present a controlled comparison of six fine-tuning objectives -- Supervise... | https://arxiv.org/abs/2601.12639 | Academic Papers | svg |
9efa9f8c1b3c791b2febed00b6ceb93c6ea49183726ac7cb1772e2d7e10fadc4 | 2026-01-21T00:00:00-05:00 | Beyond Identification: Computing Boolean Functions via Channels | arXiv:2601.12640v1 Announce Type: new Abstract: Consider a point-to-point communication system in which the transmitter holds a binary message of length $m$ and transmits a corresponding codeword of length $n$. The receiver's goal is to recover a Boolean function of that message, where the function is unknown to the tr... | https://arxiv.org/abs/2601.12640 | Academic Papers | svg |
49ab3b35a6adf17eab6acb195105bd44f8d257732b03906fc9f4bd91b17584e1 | 2026-01-21T00:00:00-05:00 | STEP-LLM: Generating CAD STEP Models from Natural Language with Large Language Models | arXiv:2601.12641v1 Announce Type: new Abstract: Computer-aided design (CAD) is vital to modern manufacturing, yet model creation remains labor-intensive and expertise-heavy. To enable non-experts to translate intuitive design intent into manufacturable artifacts, recent large language models-based text-to-CAD efforts f... | https://arxiv.org/abs/2601.12641 | Academic Papers | svg |
8b4135bcbc0628e5482b4a0bdac90f2207f9b522bb5e31772ae7ef80a28a0535 | 2026-01-21T00:00:00-05:00 | Unbounded Harms, Bounded Law: Liability in the Age of Borderless AI | arXiv:2601.12646v1 Announce Type: new Abstract: The rapid proliferation of artificial intelligence (AI) has exposed significant deficiencies in risk governance. While ex-ante harm identification and prevention have advanced, Responsible AI scholarship remains underdeveloped in addressing ex-post liability. Core legal q... | https://arxiv.org/abs/2601.12646 | Academic Papers | svg |
bfd14138edbb0a49fe66d0c92b11258cb3862a2a651ed301c50cf7b03f99c71d | 2026-01-21T00:00:00-05:00 | Intelligent Documentation in Medical Education: Can AI Replace Manual Case Logging? | arXiv:2601.12648v1 Announce Type: new Abstract: Procedural case logs are a core requirement in radiology training, yet they are time-consuming to complete and prone to inconsistency when authored manually. This study investigates whether large language models (LLMs) can automate procedural case log documentation direct... | https://arxiv.org/abs/2601.12648 | Academic Papers | svg |
d786f32f895a244997d8a515f211f18744a3f285674c1d4485b51d648147f40e | 2026-01-21T00:00:00-05:00 | Ethical Risks in Deploying Large Language Models: An Evaluation of Medical Ethics Jailbreaking | arXiv:2601.12652v1 Announce Type: new Abstract: Background: While Large Language Models (LLMs) have achieved widespread adoption, malicious prompt engineering specifically "jailbreak attacks" poses severe security risks by inducing models to bypass internal safety mechanisms. Current benchmarks predominantly focus on p... | https://arxiv.org/abs/2601.12652 | Academic Papers | svg |
f32227cb5e761e503785a680a960df7340280fdb47539d650cca0ec96e552e75 | 2026-01-21T00:00:00-05:00 | Explanation Multiplicity in SHAP: Characterization and Assessment | arXiv:2601.12654v1 Announce Type: new Abstract: Post-hoc explanations are widely used to justify, contest, and audit automated decisions in high-stakes domains. SHAP, in particular, is often treated as a reliable account of which features drove an individual prediction. Yet SHAP explanations can vary substantially acro... | https://arxiv.org/abs/2601.12654 | Academic Papers | svg |
302090d67290ddb1b99911a33c3d5361fd2c89943e839d963379df283bc36c84 | 2026-01-21T00:00:00-05:00 | Multiagent Reinforcement Learning in Enhancing Resilience of Microgrids under Extreme Weather Events | arXiv:2601.12657v1 Announce Type: new Abstract: Grid resilience is crucial in light of power interruptions caused by increasingly frequent extreme weather events. Well-designed energy management systems (EMS) have made progress in improving microgrid resilience through the coordination of distributed energy resources (... | https://arxiv.org/abs/2601.12657 | Academic Papers | svg |
bdd4e0874b54ae6b841d5e625c224cfada2ba45da2e4af7d09b956680c386ce1 | 2026-01-21T00:00:00-05:00 | Augmenting Question Answering with A Hybrid RAG Approach | arXiv:2601.12658v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) has emerged as a powerful technique for enhancing the quality of responses in Question-Answering (QA) tasks. However, existing approaches often struggle with retrieving contextually relevant information, leading to incomplete or subopt... | https://arxiv.org/abs/2601.12658 | Academic Papers | svg |
401615b5fc831cfa5866021875b5688021fcbd869bb596fa10a7a5d181e5f5a5 | 2026-01-21T00:00:00-05:00 | Toward Faithful Explanations in Acoustic Anomaly Detection | arXiv:2601.12660v1 Announce Type: new Abstract: Interpretability is essential for user trust in real-world anomaly detection applications. However, deep learning models, despite their strong performance, often lack transparency. In this work, we study the interpretability of autoencoder-based models for audio anomaly d... | https://arxiv.org/abs/2601.12660 | Academic Papers | svg |
1d007c860327784dd1eefe2365279b5107627f0247ed47ac5d2e719ddb695e94 | 2026-01-21T00:00:00-05:00 | MedConsultBench: A Full-Cycle, Fine-Grained, Process-Aware Benchmark for Medical Consultation Agents | arXiv:2601.12661v1 Announce Type: new Abstract: Current evaluations of medical consultation agents often prioritize outcome-oriented tasks, frequently overlooking the end-to-end process integrity and clinical safety essential for real-world practice. While recent interactive benchmarks have introduced dynamic scenarios... | https://arxiv.org/abs/2601.12661 | Academic Papers | svg |
d14daa3f49fab1e8d28e4b556fff0e4e928f537bfbc508a6fbfd13c7644f4902 | 2026-01-21T00:00:00-05:00 | Decentralized Learning Strategies for Estimation Error Minimization with Graph Neural Networks | arXiv:2601.12662v1 Announce Type: new Abstract: We address real-time sampling and estimation of autoregressive Markovian sources in dynamic yet structurally similar multi-hop wireless networks. Each node caches samples from others and communicates over wireless collision channels, aiming to minimize time-average estima... | https://arxiv.org/abs/2601.12662 | Academic Papers | svg |
36948ddc50b54916375e02ea6ed8ded2997f4ccdb63affe9e35d9b592aa2ba58 | 2026-01-21T00:00:00-05:00 | Generalizable Hyperparameter Optimization for Federated Learning on Non-IID Cancer Images | arXiv:2601.12664v1 Announce Type: new Abstract: Deep learning for cancer histopathology training conflicts with privacy constraints in clinical settings. Federated Learning (FL) mitigates this by keeping data local; however, its performance depends on hyperparameter choices under non-independent and identically distrib... | https://arxiv.org/abs/2601.12664 | Academic Papers | svg |
bf70d7b6327856dbe6f0be33419086e2dad7a7fbabb5572b669834c1257a2982 | 2026-01-21T00:00:00-05:00 | Near-Light Color Photometric Stereo for mono-Chromaticity non-lambertian surface | arXiv:2601.12666v1 Announce Type: new Abstract: Color photometric stereo enables single-shot surface reconstruction, extending conventional photometric stereo that requires multiple images of a static scene under varying illumination to dynamic scenarios. However, most existing approaches assume ideal distant lighting ... | https://arxiv.org/abs/2601.12666 | Academic Papers | svg |
e1878f5b0cd2810d3d7d0a46bdfa8feb6b2adfbf35fa04c6100a878a337747a6 | 2026-01-21T00:00:00-05:00 | Empowering All-in-Loop Health Management of Spacecraft Power System in the Mega-Constellation Era via Human-AI Collaboration | arXiv:2601.12667v1 Announce Type: new Abstract: It is foreseeable that the number of spacecraft will increase exponentially, ushering in an era dominated by satellite mega-constellations (SMC). This necessitates a focus on energy in space: spacecraft power systems (SPS), especially their health management (HM), given t... | https://arxiv.org/abs/2601.12667 | Academic Papers | svg |
3c2432cb1bc0ab8c553ea9f1e7748ebafcff7d2e14132ae2f147522456fbed88 | 2026-01-21T00:00:00-05:00 | Exploiting Test-Time Augmentation in Federated Learning for Brain Tumor MRI Classification | arXiv:2601.12671v1 Announce Type: new Abstract: Efficient brain tumor diagnosis is crucial for early treatment; however, it is challenging because of lesion variability and image complexity. We evaluated convolutional neural networks (CNNs) in a federated learning (FL) setting, comparing models trained on original vers... | https://arxiv.org/abs/2601.12671 | Academic Papers | svg |
e2e721a1a370de4cb3f0d646cd6b53497f9c083f542bd428f77eb21776868e24 | 2026-01-21T00:00:00-05:00 | VILTA: A VLM-in-the-Loop Adversary for Enhancing Driving Policy Robustness | arXiv:2601.12672v1 Announce Type: new Abstract: The safe deployment of autonomous driving (AD) systems is fundamentally hindered by the long-tail problem, where rare yet critical driving scenarios are severely underrepresented in real-world data. Existing solutions including safety-critical scenario generation and clos... | https://arxiv.org/abs/2601.12672 | Academic Papers | svg |
71f54d682f9974ccff8c5e170775020670dfa12daaa2b0bb4f2505ce4626999c | 2026-01-21T00:00:00-05:00 | Physics-informed machine learning for reconstruction of dynamical systems with invariant measure score matching | arXiv:2601.12675v1 Announce Type: new Abstract: In this paper, we develop a novel mesh-free framework, termed physics-informed neural networks with invariant measure score matching (PINN-IMSM), for reconstructing dynamical systems from unlabeled point-cloud data that capture the system's invariant measure. The invarian... | https://arxiv.org/abs/2601.12675 | Academic Papers | svg |
be91582a3e1bd7ee2bd37b63fb7a2b2372a43f9304ff3a99292fbe44b70756d6 | 2026-01-21T00:00:00-05:00 | MetaToolAgent: Towards Generalizable Tool Usage in LLMs through Meta-Learning | arXiv:2601.12680v1 Announce Type: new Abstract: Tool learning is increasingly important for large language models (LLMs) to effectively coordinate and utilize a diverse set of tools in order to solve complex real-world tasks. By selecting and integrating appropriate tools, LLMs extend their capabilities beyond pure lan... | https://arxiv.org/abs/2601.12680 | Academic Papers | svg |
d43addb2d3025ac28350e44fef149fdb9d4a312f1ad385ffed1466043b981257 | 2026-01-21T00:00:00-05:00 | HyFormer: Revisiting the Roles of Sequence Modeling and Feature Interaction in CTR Prediction | arXiv:2601.12681v1 Announce Type: new Abstract: Industrial large-scale recommendation models (LRMs) face the challenge of jointly modeling long-range user behavior sequences and heterogeneous non-sequential features under strict efficiency constraints. However, most existing architectures employ a decoupled pipeline: l... | https://arxiv.org/abs/2601.12681 | Academic Papers | svg |
d50b3dca1d476c1a604c4ad419d3377cdabfc7eda1c37a737408d2d3ed956353 | 2026-01-21T00:00:00-05:00 | Fusion-Restoration Image Processing Algorithm to Improve the High-Temperature Deformation Measurement | arXiv:2601.12682v1 Announce Type: new Abstract: In the deformation measurement of high-temperature structures, image degradation caused by thermal radiation and random errors introduced by heat haze restrict the accuracy and effectiveness of deformation measurement. To suppress thermal radiation and heat haze using fus... | https://arxiv.org/abs/2601.12682 | Academic Papers | svg |
e3e2661457c286928d9705ecc455bbbe7dd1de17bf8652310f7e51f648b0015a | 2026-01-21T00:00:00-05:00 | GaussianTrimmer: Online Trimming Boundaries for 3DGS Segmentation | arXiv:2601.12683v1 Announce Type: new Abstract: With the widespread application of 3D Gaussians in 3D scene representation, 3D scene segmentation methods based on 3D Gaussians have also gradually emerged. However, existing 3D Gaussian segmentation methods basically segment on the basis of Gaussian primitives. Due to th... | https://arxiv.org/abs/2601.12683 | Academic Papers | svg |
e94376cbec528a393dc9c9bb766e766bf289ce0004aba87353f23960bf5a28a0 | 2026-01-21T00:00:00-05:00 | A Model Fusion Approach for Enhancing Credit Approval Decision Making | arXiv:2601.12684v1 Announce Type: new Abstract: Credit default poses significant challenges to financial institutions and consumers, resulting in substantial financial losses and diminished trust. As such, credit default risk management has been a critical topic in the financial industry. In this paper, we present Comb... | https://arxiv.org/abs/2601.12684 | Academic Papers | svg |
86328840ef14bebb4a27127116116ccfc7b5629cd2256a399c9380cb75559aa9 | 2026-01-21T00:00:00-05:00 | Persuasion in Online Conversations Is Associated with Alignment in Expressed Human Values | arXiv:2601.12685v1 Announce Type: new Abstract: Online disagreements often fail to produce understanding, instead reinforcing existing positions or escalating conflict. Prior work on predictors of successful persuasion in online discourse has largely focused on surface features such as linguistic style or conversationa... | https://arxiv.org/abs/2601.12685 | Academic Papers | svg |
7dc6c06fdbe23347a1b192bc1d6e3c11784ac0185f04484b84c0b8332be1822b | 2026-01-21T00:00:00-05:00 | Best Practices for Large Load Interconnections: A North American Perspective on Data Centers | arXiv:2601.12686v1 Announce Type: new Abstract: Large loads are expanding rapidly across North America, led by data centers, cryptocurrency mining, hydrogen production facilities, and heavy-duty charging stations. Each class presents distinct electrical characteristics, but data centers are drawing particular attention... | https://arxiv.org/abs/2601.12686 | Academic Papers | svg |
08e6b14564f4bf46112713d0c71aa47d0691c4ef603b9f3943328ee5c4cfa46d | 2026-01-21T00:00:00-05:00 | Network Slicing Resource Management in Uplink User-Centric Cell-Free Massive MIMO Systems | arXiv:2601.12687v1 Announce Type: new Abstract: This paper addresses the joint optimization of per-user equipment (UE) bandwidth allocation and UE-access point (AP) association to maximize weighted sum-rate while satisfying heterogeneous quality-of-service (QoS) requirements across enhanced mobile broadband (eMBB) and ... | https://arxiv.org/abs/2601.12687 | Academic Papers | svg |
cd254fa221d0d057d16b22f1d925dc92d9c7e85621d2ef7ba4411e76bd85e696 | 2026-01-21T00:00:00-05:00 | Logic-Guided Multistage Inference for Explainable Multidefendant Judgment Prediction | arXiv:2601.12688v1 Announce Type: new Abstract: Crime disrupts societal stability, making law essential for balance. In multidefendant cases, assigning responsibility is complex and challenges fairness, requiring precise role differentiation. However, judicial phrasing often obscures the roles of the defendants, hinder... | https://arxiv.org/abs/2601.12688 | Academic Papers | svg |
7b035a16cf76ab2b4da5f85b2a5a1ab94a9bf98c203f47590f1d67b25cfc3e13 | 2026-01-21T00:00:00-05:00 | Priority-Based Bandwidth Allocation in Network Slicing-Enabled Cell-Free Massive MIMO Systems | arXiv:2601.12689v1 Announce Type: new Abstract: This paper addresses joint admission control and per-user equipment (UE) bandwidth allocation to maximize weighted sum-rate in network slicing-enabled user-centric cell-free (CF) massive multiple-input multiple-output (mMIMO) systems when aggregate quality-of-service (QoS... | https://arxiv.org/abs/2601.12689 | Academic Papers | svg |
947ccc41858a0de720dc5ad248e986ae68980ca78347280526d355f88eed6a1e | 2026-01-21T00:00:00-05:00 | "Are we writing an advice column for Spock here?" Understanding Stereotypes in AI Advice for Autistic Users | arXiv:2601.12690v1 Announce Type: new Abstract: Autistic individuals sometimes disclose autism when asking LLMs for social advice, hoping for more personalized responses. However, they also recognize that these systems may reproduce stereotypes, raising uncertainty about the risks and benefits of disclosure. We conduct... | https://arxiv.org/abs/2601.12690 | Academic Papers | svg |
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