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41625bd694c8fcee185946b276a8822dd1b53a344bb1e5e16735d16011248700 | 2026-01-13T00:00:00-05:00 | Near-Optimal Private Linear Regression via Iterative Hessian Mixing | arXiv:2601.07545v1 Announce Type: new Abstract: We study differentially private ordinary least squares (DP-OLS) with bounded data. The dominant approach, adaptive sufficient-statistics perturbation (AdaSSP), adds an adaptively chosen perturbation to the sufficient statistics, namely, the matrix $X^{\top}X$ and the vect... | https://arxiv.org/abs/2601.07545 | Academic Papers | svg |
412419ecf8406f3bd2236f9d32c972f2fb4aeb8b080f79735c65f07eae52f25e | 2026-01-13T00:00:00-05:00 | Estimators for Substitution Rates in Genomes from Read Data | arXiv:2601.07546v1 Announce Type: new Abstract: We study the problem of estimating the mutation rate between two sequences from noisy sequencing reads. Existing alignment-free methods typically assume direct access to the full sequences. We extend these methods to the sequencing framework, where only noisy reads from t... | https://arxiv.org/abs/2601.07546 | Academic Papers | svg |
e6b6ce624ad6a39446b3c83e8aac89cf9630dcbc5791b3cb9e38406d48874ac5 | 2026-01-13T00:00:00-05:00 | On the Sequence Reconstruction Problem for the Single-Deletion Two-Substitution Channel | arXiv:2601.07547v1 Announce Type: new Abstract: The Levenshtein sequence reconstruction problem studies the reconstruction of a transmitted sequence from multiple erroneous copies of it. A fundamental question in this field is to determine the minimum number of erroneous copies required to guarantee correct reconstruct... | https://arxiv.org/abs/2601.07547 | Academic Papers | svg |
eddecbd81fc7d285bc74e734e9739e0232b668db6471b51001910d42dd96b9a4 | 2026-01-13T00:00:00-05:00 | Contextual Discrepancy-Aware Contrastive Learning for Robust Medical Time Series Diagnosis in Small-Sample Scenarios | arXiv:2601.07548v1 Announce Type: new Abstract: Medical time series data, such as EEG and ECG, are vital for diagnosing neurological and cardiovascular diseases. However, their precise interpretation faces significant challenges due to high annotation costs, leading to data scarcity, and the limitations of traditional ... | https://arxiv.org/abs/2601.07548 | Academic Papers | svg |
6f5bda47c79433ea7e96cf16f0dd547b3bfd8f8997a912b3a00ebcf503605e86 | 2026-01-13T00:00:00-05:00 | TFEC: Multivariate Time-Series Clustering via Temporal-Frequency Enhanced Contrastive Learning | arXiv:2601.07550v1 Announce Type: new Abstract: Multivariate Time-Series (MTS) clustering is crucial for signal processing and data analysis. Although deep learning approaches, particularly those leveraging Contrastive Learning (CL), are prominent for MTS representation, existing CL-based models face two key limitation... | https://arxiv.org/abs/2601.07550 | Academic Papers | svg |
104cfd47b891e69b45cfb0f9d8c1dd5b42143cfc6541a7f959f3841ed70093b4 | 2026-01-13T00:00:00-05:00 | VirtualEnv: A Platform for Embodied AI Research | arXiv:2601.07553v1 Announce Type: new Abstract: As large language models (LLMs) continue to improve in reasoning and decision-making, there is a growing need for realistic and interactive environments where their abilities can be rigorously evaluated. We present VirtualEnv, a next-generation simulation platform built o... | https://arxiv.org/abs/2601.07553 | Academic Papers | svg |
4ace7b1b7a091f6d80ef09da2622592c04c74e30a8395221ed599b012034746e | 2026-01-13T00:00:00-05:00 | Backpropagation-Free Test-Time Adaptation for Lightweight EEG-Based Brain-Computer Interfaces | arXiv:2601.07556v1 Announce Type: new Abstract: Electroencephalogram (EEG)-based brain-computer interfaces (BCIs) face significant deployment challenges due to inter-subject variability, signal non-stationarity, and computational constraints. While test-time adaptation (TTA) mitigates distribution shifts under online d... | https://arxiv.org/abs/2601.07556 | Academic Papers | svg |
d8c88d49c0176e9254e107cacad6909502b358b37deb5e814c15510bd23ad79e | 2026-01-13T00:00:00-05:00 | FlyCo: Foundation Model-Empowered Drones for Autonomous 3D Structure Scanning in Open-World Environments | arXiv:2601.07558v1 Announce Type: new Abstract: Autonomous 3D scanning of open-world target structures via drones remains challenging despite broad applications. Existing paradigms rely on restrictive assumptions or effortful human priors, limiting practicality, efficiency, and adaptability. Recent foundation models (F... | https://arxiv.org/abs/2601.07558 | Academic Papers | svg |
28d68db215bb2c8284c2572208d7e617997122711532e82210fdc4deb1af7ac2 | 2026-01-13T00:00:00-05:00 | Stable In-hand Manipulation for a Lightweight Four-motor Prosthetic Hand | arXiv:2601.07559v1 Announce Type: new Abstract: Electric prosthetic hands should be lightweight to decrease the burden on the user, shaped like human hands for cosmetic purposes, and designed with motors enclosed inside to protect them from damage and dirt. Additionally, in-hand manipulation is necessary to perform dai... | https://arxiv.org/abs/2601.07559 | Academic Papers | svg |
7214172703f8a2b0704d94d8da7ad7d6b6b58d6e942fae82c6a55b03a0fae516 | 2026-01-13T00:00:00-05:00 | The Issue with Special Issues: when Guest Editors Publish in Support of Self | arXiv:2601.07563v1 Announce Type: new Abstract: The recent exceptional growth in the number of special issues has led to the largest delegation of editorial power in the history of scientific publishing. Has this power been used responsibly? In this article we provide the first systematic analysis of a particular form ... | https://arxiv.org/abs/2601.07563 | Academic Papers | svg |
ee223cf180d8b02894a369585fec191078484fb80e80566e1f2f2e90e925ac8b | 2026-01-13T00:00:00-05:00 | A Unified Framework for Emotion Recognition and Sentiment Analysis via Expert-Guided Multimodal Fusion with Large Language Models | arXiv:2601.07565v1 Announce Type: new Abstract: Multimodal emotion understanding requires effective integration of text, audio, and visual modalities for both discrete emotion recognition and continuous sentiment analysis. We present EGMF, a unified framework combining expert-guided multimodal fusion with large languag... | https://arxiv.org/abs/2601.07565 | Academic Papers | svg |
db2f88b1339e86e616bf44e10d5cbbd00df7a1314efd3b1d17fd3a0d9385e27e | 2026-01-13T00:00:00-05:00 | Dynamic $(\Delta + 1)$ Vertex Coloring | arXiv:2601.07566v1 Announce Type: new Abstract: Several recent results from dynamic and sublinear graph coloring are surveyed. This problem is widely studied and has motivating applications like network topology control, constraint satisfaction, and real-time resource scheduling. Graph coloring algorithms are called co... | https://arxiv.org/abs/2601.07566 | Academic Papers | svg |
900916cc878994242298fb0148a511b0fedf21cee22f116677ea126f53b5d4de | 2026-01-13T00:00:00-05:00 | A $q$-Polymatroid Framework for Information Leakage in Secure Linear Network Coding | arXiv:2601.07567v1 Announce Type: new Abstract: We study information leakage in secure linear network coding schemes based on nested rank-metric codes. We show that the amount of information leaked to an adversary that observes a subset of network links is characterized by the conditional rank function of a representab... | https://arxiv.org/abs/2601.07567 | Academic Papers | svg |
728eabdbb0509743aa15c4e83571740c645835abce3ca50a6f6e404098dd2006 | 2026-01-13T00:00:00-05:00 | d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation | arXiv:2601.07568v1 Announce Type: new Abstract: Diffusion large language models (dLLMs) offer capabilities beyond those of autoregressive (AR) LLMs, such as parallel decoding and random-order generation. However, realizing these benefits in practice is non-trivial, as dLLMs inherently face an accuracy-parallelism trade... | https://arxiv.org/abs/2601.07568 | Academic Papers | svg |
e0d69f633ef44a209f200593e0de2e5f20dfaa693bbe8a9b9a432531891f10fb | 2026-01-13T00:00:00-05:00 | GPU accelerated surface-based gaze mapping for XR experiences | arXiv:2601.07571v1 Announce Type: new Abstract: Extended reality is a fast-growing domain for which there is an increasing need to analyze and understand user behavior. In particular, understanding human visual attention during immersive experiences is crucial for many applications. The visualization and analysis of vi... | https://arxiv.org/abs/2601.07571 | Academic Papers | svg |
2efeaf6547441807d85874596869dce0f6f2c84c39687e7068d74efa72eadf44 | 2026-01-13T00:00:00-05:00 | A Multimodal Dataset of Student Oral Presentations with Sensors and Evaluation Data | arXiv:2601.07576v1 Announce Type: new Abstract: Oral presentation skills are a critical component of higher education, yet comprehensive datasets capturing real-world student performance across multiple modalities remain scarce. To address this gap, we present SOPHIAS (Student Oral Presentation monitoring for Holistic ... | https://arxiv.org/abs/2601.07576 | Academic Papers | svg |
e435018568c80d7a4aa7809d869c4d11ccbe91199b240ba734095b90e34ccef4 | 2026-01-13T00:00:00-05:00 | Beyond Entangled Planning: Task-Decoupled Planning for Long-Horizon Agents | arXiv:2601.07577v1 Announce Type: new Abstract: Recent advances in large language models (LLMs) have enabled agents to autonomously execute complex, long-horizon tasks, yet planning remains a primary bottleneck for reliable task execution. Existing methods typically fall into two paradigms: step-wise planning, which is... | https://arxiv.org/abs/2601.07577 | Academic Papers | svg |
a041d308fd900f124cd7818813b312a945efd2d13ffab7e332ea32c8517c1a34 | 2026-01-13T00:00:00-05:00 | An adjoint method for training data-driven reduced-order models | arXiv:2601.07579v1 Announce Type: new Abstract: Reduced-order modeling lies at the interface of numerical analysis and data-driven scientific computing, providing principled ways to compress high-fidelity simulations in science and engineering. We propose a training framework that couples a continuous-time form of oper... | https://arxiv.org/abs/2601.07579 | Academic Papers | svg |
677b3d507f19e6b9a551f50960c9b3620f9c5d41eaa8deaa719c474e7cbbbca7 | 2026-01-13T00:00:00-05:00 | BenchSeg: A Large-Scale Dataset and Benchmark for Multi-View Food Video Segmentation | arXiv:2601.07581v1 Announce Type: new Abstract: Food image segmentation is a critical task for dietary analysis, enabling accurate estimation of food volume and nutrients. However, current methods suffer from limited multi-view data and poor generalization to new viewpoints. We introduce BenchSeg, a novel multi-view fo... | https://arxiv.org/abs/2601.07581 | Academic Papers | svg |
7544b0eb8a5ed77a2784244e5de1b13478ea6d51331e3583904e362e3e8d7b40 | 2026-01-13T00:00:00-05:00 | ES-Mem: Event Segmentation-Based Memory for Long-Term Dialogue Agents | arXiv:2601.07582v1 Announce Type: new Abstract: Memory is critical for dialogue agents to maintain coherence and enable continuous adaptation in long-term interactions. While existing memory mechanisms offer basic storage and retrieval capabilities, they are hindered by two primary limitations: (1) rigid memory granula... | https://arxiv.org/abs/2601.07582 | Academic Papers | svg |
42360340c830ead3ea14b3eb44a86760a6721593a01845749062a0a291291b6d | 2026-01-13T00:00:00-05:00 | Robust Multicentre Detection and Classification of Colorectal Liver Metastases on CT: Application of Foundation Models | arXiv:2601.07585v1 Announce Type: new Abstract: Colorectal liver metastases (CRLM) are a major cause of cancer-related mortality, and reliable detection on CT remains challenging in multi-centre settings. We developed a foundation model-based AI pipeline for patient-level classification and lesion-level detection of CR... | https://arxiv.org/abs/2601.07585 | Academic Papers | svg |
5df03cfa6038270c0cacd671feb178ba4cb688bbe3942b0aeac2ebabf9d97fed | 2026-01-13T00:00:00-05:00 | A higher order polytopal method for contact mechanics with Tresca friction | arXiv:2601.07586v1 Announce Type: new Abstract: In this work, we design and analyze a Discrete de Rham (DDR) scheme for a contact mechanics problem involving fractures along which a model of Tresca friction is considered. Our approach is based on a mixed formulation involving a displacement field and a Lagrange multipl... | https://arxiv.org/abs/2601.07586 | Academic Papers | svg |
f141b163dc6d630a25f442bf75c60e0c6426f8cfdf063355d55dc604a42f2ea0 | 2026-01-13T00:00:00-05:00 | GRPO with State Mutations: Improving LLM-Based Hardware Test Plan Generation | arXiv:2601.07593v1 Announce Type: new Abstract: RTL design often relies heavily on ad-hoc testbench creation early in the design cycle. While large language models (LLMs) show promise for RTL code generation, their ability to reason about hardware specifications and generate targeted test plans remains largely unexplor... | https://arxiv.org/abs/2601.07593 | Academic Papers | svg |
1f88789389c2f27761bb022e0828adf3aef92c39b069e4c3f6a6aff84024c7eb | 2026-01-13T00:00:00-05:00 | Pheromone-Focused Ant Colony Optimization algorithm for path planning | arXiv:2601.07597v1 Announce Type: new Abstract: Ant Colony Optimization (ACO) is a prominent swarm intelligence algorithm extensively applied to path planning. However, traditional ACO methods often exhibit shortcomings, such as blind search behavior and slow convergence within complex environments. To address these ch... | https://arxiv.org/abs/2601.07597 | Academic Papers | svg |
3b876c616a3fb095b1d9d0d546428594f87331d4d095d2715da506f52862f014 | 2026-01-13T00:00:00-05:00 | Diffusion in SPAD Signals | arXiv:2601.07599v1 Announce Type: new Abstract: We derive the likelihood of a raw signal in a single photon avalanche diode (SPAD), given a fixed photon flux. The raw signal comprises timing of detection events, which are nonlinearly related to the flux. Moreover, they are naturally stochastic. We then derive a score f... | https://arxiv.org/abs/2601.07599 | Academic Papers | svg |
2a999690e1324efedb230357d8741bee0c3614d2801a45079cc247ac28c6c44e | 2026-01-13T00:00:00-05:00 | Peformance Isolation for Inference Processes in Edge GPU Systems | arXiv:2601.07600v1 Announce Type: new Abstract: This work analyzes the main isolation mechanisms available in modern NVIDIA GPUs: MPS, MIG, and the recent Green Contexts, to ensure predictable inference time in safety-critical applications using deep learning models. The experimental methodology includes performance te... | https://arxiv.org/abs/2601.07600 | Academic Papers | svg |
34ecd99d1a7017f466322b6d9a1aad7f68069f86d92a986fd81db9f791229ec1 | 2026-01-13T00:00:00-05:00 | OODEval: Evaluating Large Language Models on Object-Oriented Design | arXiv:2601.07602v1 Announce Type: new Abstract: Recent advances in large language models (LLMs) have driven extensive evaluations in software engineering. however, most prior work concentrates on code-level tasks, leaving software design capabilities underexplored. To fill this gap, we conduct a comprehensive empirical... | https://arxiv.org/abs/2601.07602 | Academic Papers | svg |
de27ee0f5b976d861f6a5d12819af67e0cd25b359abbe9c0dc28ce370be19b52 | 2026-01-13T00:00:00-05:00 | UIKA: Fast Universal Head Avatar from Pose-Free Images | arXiv:2601.07603v1 Announce Type: new Abstract: We present UIKA, a feed-forward animatable Gaussian head model from an arbitrary number of unposed inputs, including a single image, multi-view captures, and smartphone-captured videos. Unlike the traditional avatar method, which requires a studio-level multi-view capture... | https://arxiv.org/abs/2601.07603 | Academic Papers | svg |
36163832bc03633e33a02241628bb415b8de52cbf38350dddfc7b4c438825c40 | 2026-01-13T00:00:00-05:00 | Proof of Time: A Benchmark for Evaluating Scientific Idea Judgments | arXiv:2601.07606v1 Announce Type: new Abstract: Large language models are increasingly being used to assess and forecast research ideas, yet we lack scalable ways to evaluate the quality of models' judgments about these scientific ideas. Towards this goal, we introduce PoT, a semi-verifiable benchmarking framework that... | https://arxiv.org/abs/2601.07606 | Academic Papers | svg |
11bea5c9fd35e1e0136d367ca89c6a03f7bf92d7f8521c5248ad20aa15651dd7 | 2026-01-13T00:00:00-05:00 | Recursive Binary Identification with Differential Privacy and Data Tampering Attacks | arXiv:2601.07608v1 Announce Type: new Abstract: In this paper, we consider the parameter estimation in a bandwidth-constrained sensor network communicating through an insecure medium. The sensor performs a local quantization, and transmits a 1-bit message to an estimation center through a wireless medium where the tran... | https://arxiv.org/abs/2601.07608 | Academic Papers | svg |
af58fdf286fe682b7334c9aceb6fd48c6d9660113a7a4596bbc3817bbc8fc76a | 2026-01-13T00:00:00-05:00 | DIAGPaper: Diagnosing Valid and Specific Weaknesses in Scientific Papers via Multi-Agent Reasoning | arXiv:2601.07611v1 Announce Type: new Abstract: Paper weakness identification using single-agent or multi-agent LLMs has attracted increasing attention, yet existing approaches exhibit key limitations. Many multi-agent systems simulate human roles at a surface level, missing the underlying criteria that lead experts to... | https://arxiv.org/abs/2601.07611 | Academic Papers | svg |
c0011b78cf670465a708882f4d3f2c67a1c8175b31da5ff43167e5193b56bbb1 | 2026-01-13T00:00:00-05:00 | GAP-Net: Calibrating User Intent via Gated Adaptive Progressive Learning for CTR Prediction | arXiv:2601.07613v1 Announce Type: new Abstract: Sequential user behavior modeling is pivotal for Click-Through Rate (CTR) prediction yet is hindered by three intrinsic bottlenecks: (1) the "Attention Sink" phenomenon, where standard Softmax compels the model to allocate probability mass to noisy behaviors; (2) the Stat... | https://arxiv.org/abs/2601.07613 | Academic Papers | svg |
244a7d811baa06e7fb3d454e382ce16c7589b9af52b73103e92d96b1481677d1 | 2026-01-13T00:00:00-05:00 | Neural Architecture for Fast and Reliable Coagulation Assessment in Clinical Settings: Leveraging Thromboelastography | arXiv:2601.07618v1 Announce Type: new Abstract: In an ideal medical environment, real-time coagulation monitoring can enable early detection and prompt remediation of risks. However, traditional Thromboelastography (TEG), a widely employed diagnostic modality, can only provide such outputs after nearly 1 hour of measur... | https://arxiv.org/abs/2601.07618 | Academic Papers | svg |
9d2cdc7d15cac9fac4aae63a385870a1daa9c8b5665216e929d68354b4dbdcc6 | 2026-01-13T00:00:00-05:00 | PARL: Position-Aware Relation Learning Network for Document Layout Analysis | arXiv:2601.07620v1 Announce Type: new Abstract: Document layout analysis aims to detect and categorize structural elements (e.g., titles, tables, figures) in scanned or digital documents. Popular methods often rely on high-quality Optical Character Recognition (OCR) to merge visual features with extracted text. This de... | https://arxiv.org/abs/2601.07620 | Academic Papers | svg |
5cbbc4b73dd5adfd1a33fa23d8a5e92af4694b97ad352d1e858226543882f3c9 | 2026-01-13T00:00:00-05:00 | Searching point patterns in point clouds describing local topography | arXiv:2601.07621v1 Announce Type: new Abstract: We address the problem of comparing and aligning spatial point configurations in $\mathbb{R}^3$ arising from structured geometric patterns. Each pattern is decomposed into arms along which we define a normalized finite-difference operator measuring local variations of the... | https://arxiv.org/abs/2601.07621 | Academic Papers | svg |
a0759e956e3cd547cf83d163ac7ec8b9156fe3b7cf5cceb77b2ae7e0d571b22d | 2026-01-13T00:00:00-05:00 | Clipped Affine Policy: Low-Complexity Near-Optimal Online Power Control for Energy Harvesting Communications over Fading Channels | arXiv:2601.07622v1 Announce Type: new Abstract: This paper investigates online power control for point-to-point energy harvesting communications over wireless fading channels. A linear-policy-based approximation is derived for the relative-value function in the Bellman equation of the power control problem. This approx... | https://arxiv.org/abs/2601.07622 | Academic Papers | svg |
e66e2f360f4067617da15a58f744ac1b759bc4ddf100a4f0df3683b16ee0de75 | 2026-01-13T00:00:00-05:00 | Fifteen Years of Learning Analytics Research: Topics, Trends, and Challenges | arXiv:2601.07629v1 Announce Type: new Abstract: The learning analytics (LA) community has recently reached two important milestones: celebrating the 15th LAK conference and updating the 2011 definition of LA to reflect the 15 years of changes in the discipline. However, despite LA's growth, little is known about how re... | https://arxiv.org/abs/2601.07629 | Academic Papers | svg |
e76dcc735ba9c7384077c373729132dbf6fa84f999b6720060b070aedd07631d | 2026-01-13T00:00:00-05:00 | Integrating Machine-Generated Short Descriptions into the Wikipedia Android App: A Pilot Deployment of Descartes | arXiv:2601.07631v1 Announce Type: new Abstract: Short descriptions are a key part of the Wikipedia user experience, but their coverage remains uneven across languages and topics. In previous work, we introduced Descartes, a multilingual model for generating short descriptions. In this report, we present the results of ... | https://arxiv.org/abs/2601.07631 | Academic Papers | svg |
241c4d1230422eda4a4831aac69812b301e3c7b9ecb13c04cbf2bc1867f3a4f9 | 2026-01-13T00:00:00-05:00 | GeoMotionGPT: Geometry-Aligned Motion Understanding with Large Language Models | arXiv:2601.07632v1 Announce Type: new Abstract: Discrete motion tokenization has recently enabled Large Language Models (LLMs) to serve as versatile backbones for motion understanding and motion-language reasoning. However, existing pipelines typically decouple motion quantization from semantic embedding learning, link... | https://arxiv.org/abs/2601.07632 | Academic Papers | svg |
796693d9d32a4e0dcc46b74f6a8fb122efdc611460ef844c4d3d57e2de45a002 | 2026-01-13T00:00:00-05:00 | Simple Power Analysis of Polynomial Multiplication in HQC | arXiv:2601.07634v1 Announce Type: new Abstract: The Hamming Quasi-Cyclic (HQC) cryptosystem was selected for standardization in the fourth round of the NIST Post-Quantum Cryptography (PQC) standardization project. The goal of the PQC project is to standardize one or more quantum-resistant public-key cryptographic algor... | https://arxiv.org/abs/2601.07634 | Academic Papers | svg |
a5d0e28bf398c6e57128e29995a9e670b4c749890811949189607719bb48a36b | 2026-01-13T00:00:00-05:00 | Beyond Sharpness: A Flatness Decomposition Framework for Efficient Continual Learning | arXiv:2601.07636v1 Announce Type: new Abstract: Continual Learning (CL) aims to enable models to sequentially learn multiple tasks without forgetting previous knowledge. Recent studies have shown that optimizing towards flatter loss minima can improve model generalization. However, existing sharpness-aware methods for ... | https://arxiv.org/abs/2601.07636 | Academic Papers | svg |
34ebc9d9c966f11e0470e10be698dd4f2e1ffd46cb50529c4aaa2ca39a63b893 | 2026-01-13T00:00:00-05:00 | SALT-KG: A Benchmark for Semantics-Aware Learning on Enterprise Tables | arXiv:2601.07638v1 Announce Type: new Abstract: Building upon the SALT benchmark for relational prediction (Klein et al., 2024), we introduce SALT-KG, a benchmark for semantics-aware learning on enterprise tables. SALT-KG extends SALT by linking its multi-table transactional data with a structured Operational Business ... | https://arxiv.org/abs/2601.07638 | Academic Papers | svg |
1b1b45cbac5d0ffc7eadf017719d931a8326c2b5effbcb6400aa74068a1e8587 | 2026-01-13T00:00:00-05:00 | Beyond Static Tools: Test-Time Tool Evolution for Scientific Reasoning | arXiv:2601.07641v1 Announce Type: new Abstract: The central challenge of AI for Science is not reasoning alone, but the ability to create computational methods in an open-ended scientific world. Existing LLM-based agents rely on static, pre-defined tool libraries, a paradigm that fundamentally fails in scientific domai... | https://arxiv.org/abs/2601.07641 | Academic Papers | svg |
71c6c8814a711340d43cb42421db3778b50ed240f443e3b7a7be299df0dbd338 | 2026-01-13T00:00:00-05:00 | Hagenberg Risk Management Process (Part 1): Multidimensional Polar Heatmaps for Context-Sensitive Risk Analysis | arXiv:2601.07644v1 Announce Type: new Abstract: Traditional two-dimensional risk matrices (heatmaps) are widely used to model and visualize likelihood and impact relationships, but they face fundamental methodological limitations when applied to complex infrastructures. In particular, regulatory frameworks such as NIS2... | https://arxiv.org/abs/2601.07644 | Academic Papers | svg |
bb40ac635d1329f467991b4a34a215e0c52eff69bfa027a6df34d4d4dbc5d53a | 2026-01-13T00:00:00-05:00 | PlaM: Training-Free Plateau-Guided Model Merging for Better Visual Grounding in MLLMs | arXiv:2601.07645v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) rely on strong linguistic reasoning inherited from their base language models. However, multimodal instruction fine-tuning paradoxically degrades this text's reasoning capability, undermining multimodal performance. To address this... | https://arxiv.org/abs/2601.07645 | Academic Papers | svg |
980ac3d974f892f67fe7230eeb70955b47c54963ca8066569e87f134e909471c | 2026-01-13T00:00:00-05:00 | Studying the Role of Synthetic Data for Machine Learning-based Wireless Networks Traffic Forecasting | arXiv:2601.07646v1 Announce Type: new Abstract: Synthetic data generation is an appealing tool for augmenting and enriching datasets, playing a crucial role in advancing artificial intelligence (AI) and machine learning (ML). Not only does synthetic data help build robust AI/ML datasets cost-effectively, but it also of... | https://arxiv.org/abs/2601.07646 | Academic Papers | svg |
f5275ebeb99860ecead4d4a138ab6ac167f89bd7dd2652c018ab76ae854a8935 | 2026-01-13T00:00:00-05:00 | Order in the Evaluation Court: A Critical Analysis of NLG Evaluation Trends | arXiv:2601.07648v1 Announce Type: new Abstract: Despite advances in Natural Language Generation (NLG), evaluation remains challenging. Although various new metrics and LLM-as-a-judge (LaaJ) methods are proposed, human judgment persists as the gold standard. To systematically review how NLG evaluation has evolved, we em... | https://arxiv.org/abs/2601.07648 | Academic Papers | svg |
de34b5fb4eb59620c49151cdaca6cef64805a93793fde6d9573522c8e4171f4a | 2026-01-13T00:00:00-05:00 | Active Evaluation of General Agents: Problem Definition and Comparison of Baseline Algorithms | arXiv:2601.07651v1 Announce Type: new Abstract: As intelligent agents become more generally-capable, i.e. able to master a wide variety of tasks, the complexity and cost of properly evaluating them rises significantly. Tasks that assess specific capabilities of the agents can be correlated and stochastic, requiring man... | https://arxiv.org/abs/2601.07651 | Academic Papers | svg |
671e52f37045cf09f2cdf13f3aa221a1242a1a4a6e5078e1b5992a0281c751f1 | 2026-01-13T00:00:00-05:00 | Towards Automating Blockchain Consensus Verification with IsabeLLM | arXiv:2601.07654v1 Announce Type: new Abstract: Consensus protocols are crucial for a blockchain system as they are what allow agreement between the system's nodes in a potentially adversarial environment. For this reason, it is paramount to ensure their correct design and implementation to prevent such adversaries fro... | https://arxiv.org/abs/2601.07654 | Academic Papers | svg |
64cea6796f59547cfc4cfdd71b1ac8833ce391f6cebc79a695617a7e33762f12 | 2026-01-13T00:00:00-05:00 | StdGEN++: A Comprehensive System for Semantic-Decomposed 3D Character Generation | arXiv:2601.07660v1 Announce Type: new Abstract: We present StdGEN++, a novel and comprehensive system for generating high-fidelity, semantically decomposed 3D characters from diverse inputs. Existing 3D generative methods often produce monolithic meshes that lack the structural flexibility required by industrial pipeli... | https://arxiv.org/abs/2601.07660 | Academic Papers | svg |
3931f495e76908e0ea036e76066424967193076d622fc0534c5da8439f1cff54 | 2026-01-13T00:00:00-05:00 | Reasoning Models Will Blatantly Lie About Their Reasoning | arXiv:2601.07663v1 Announce Type: new Abstract: It has been shown that Large Reasoning Models (LRMs) may not *say what they think*: they do not always volunteer information about how certain parts of the input influence their reasoning. But it is one thing for a model to *omit* such information and another, worse thing... | https://arxiv.org/abs/2601.07663 | Academic Papers | svg |
71bebee7c58bf28e809a3f7e405ef71ef1e2270d96e4c5052be18da7bf9c0a02 | 2026-01-13T00:00:00-05:00 | Learning to accelerate Krasnosel'skii-Mann fixed-point iterations with guarantees | arXiv:2601.07665v1 Announce Type: new Abstract: We introduce a principled learning to optimize (L2O) framework for solving fixed-point problems involving general nonexpansive mappings. Our idea is to deliberately inject summable perturbations into a standard Krasnosel'skii-Mann iteration to improve its average-case per... | https://arxiv.org/abs/2601.07665 | Academic Papers | svg |
eb14693d8ea352ff7044061ad71881ab7d61124c31146cd29080069e18469be5 | 2026-01-13T00:00:00-05:00 | Variational Contrastive Learning for Skeleton-based Action Recognition | arXiv:2601.07666v1 Announce Type: new Abstract: In recent years, self-supervised representation learning for skeleton-based action recognition has advanced with the development of contrastive learning methods. However, most of contrastive paradigms are inherently discriminative and often struggle to capture the variabi... | https://arxiv.org/abs/2601.07666 | Academic Papers | svg |
fd477960954d643adaf373c128c46615067d68680910f83aa59c6583f792d6cd | 2026-01-13T00:00:00-05:00 | Adaptive Layer Selection for Layer-Wise Token Pruning in LLM Inference | arXiv:2601.07667v1 Announce Type: new Abstract: Due to the prevalence of large language models (LLMs), key-value (KV) cache reduction for LLM inference has received remarkable attention. Among numerous works that have been proposed in recent years, layer-wise token pruning approaches, which select a subset of tokens at... | https://arxiv.org/abs/2601.07667 | Academic Papers | svg |
bfb9267cc34884e50a2e3bd8e6272f1e08b9710d755e580cae58cfede0aefefc | 2026-01-13T00:00:00-05:00 | Simplicial Belief | arXiv:2601.07669v1 Announce Type: new Abstract: Recently, much work has been carried out to study simplicial interpretations of modal logic. While notions of (distributed) knowledge have been well investigated in this context, it has been open how to model belief in simplicial models. We introduce polychromatic simplic... | https://arxiv.org/abs/2601.07669 | Academic Papers | svg |
29bfeabd8b09901988368f00d48139bec8ecf723b1e02c5afba53b39211688ca | 2026-01-13T00:00:00-05:00 | Advancing Multinational License Plate Recognition Through Synthetic and Real Data Fusion: A Comprehensive Evaluation | arXiv:2601.07671v1 Announce Type: new Abstract: Automatic License Plate Recognition is a frequent research topic due to its wide-ranging practical applications. While recent studies use synthetic images to improve License Plate Recognition (LPR) results, there remain several limitations in these efforts. This work addr... | https://arxiv.org/abs/2601.07671 | Academic Papers | svg |
fe14e1593db28dc34e4612a910d73402ac083afc106db72c4d1227473f975a2d | 2026-01-13T00:00:00-05:00 | On the complexity of the Maker-Breaker happy vertex game | arXiv:2601.07673v1 Announce Type: new Abstract: Given a c-colored graph G, a vertex of G is happy if it has the same color as all its neighbors. The notion of happy vertices was introduced by Zhang and Li to compute the homophily of a graph. Eto, et al. introduced the Maker-Maker version of the Happy vertex game, where... | https://arxiv.org/abs/2601.07673 | Academic Papers | svg |
ec38054a4186a68db88501ee4b71b171a0b531d79405e81d3f04f2c0423e9e96 | 2026-01-13T00:00:00-05:00 | Self-Creating Random Walks for Decentralized Learning under Pac-Man Attacks | arXiv:2601.07674v1 Announce Type: new Abstract: Random walk (RW)-based algorithms have long been popular in distributed systems due to low overheads and scalability, with recent growing applications in decentralized learning. However, their reliance on local interactions makes them inherently vulnerable to malicious be... | https://arxiv.org/abs/2601.07674 | Academic Papers | svg |
e5e05bc7ee68a8d4744a8253e6ecf52c18c420aa93d31fbbf65dc0bed601edaa | 2026-01-13T00:00:00-05:00 | Tab-TRM: Tiny Recursive Model for Insurance Pricing on Tabular Data | arXiv:2601.07675v1 Announce Type: new Abstract: We introduce Tab-TRM (Tabular-Tiny Recursive Model), a network architecture that adapts the recursive latent reasoning paradigm of Tiny Recursive Models (TRMs) to insurance modeling. Drawing inspiration from both the Hierarchical Reasoning Model (HRM) and its simplified s... | https://arxiv.org/abs/2601.07675 | Academic Papers | svg |
7634856aa11e701e14b3392200f8c2386ae358d00969d0eea1e857d2def061c5 | 2026-01-13T00:00:00-05:00 | New $X$-Secure $T$-Private Information Retrieval Schemes via Rational Curves and Hermitian Curves | arXiv:2601.07676v1 Announce Type: new Abstract: $X$-secure and $T$-private information retrieval (XSTPIR) is a variant of private information retrieval where data security is guaranteed against collusion among up to $X$ servers and the user's retrieval privacy is guaranteed against collusion among up to $T$ servers. Re... | https://arxiv.org/abs/2601.07676 | Academic Papers | svg |
017bb8c18b323bc42224757ae7de01d514b95afbbb21ee21f040cbe811dd4525 | 2026-01-13T00:00:00-05:00 | AptaFind: A lightweight local interface for automated aptamer curation from scientific literature | arXiv:2601.07684v1 Announce Type: new Abstract: Aptamer researchers face a literature landscape scattered across publications, supplements, and databases, with each search consuming hours that could be spent at the bench. AptaFind transforms this navigation problem through a three-tier intelligence architecture that re... | https://arxiv.org/abs/2601.07684 | Academic Papers | svg |
80b55c72a58bb8c8dd3f9b44528a5f48fc0f7826ad41204f396b3dffa6887858 | 2026-01-13T00:00:00-05:00 | Predictive Analytics for Dementia: Machine Learning on Healthcare Data | arXiv:2601.07685v1 Announce Type: new Abstract: Dementia is a complex syndrome impacting cognitive and emotional functions, with Alzheimer's disease being the most common form. This study focuses on enhancing dementia prediction using machine learning (ML) techniques on patient health data. Supervised learning algorith... | https://arxiv.org/abs/2601.07685 | Academic Papers | svg |
6c713f6d8f652f8afa78cdf2d03d752b21d43261afcec3137e378198a55cb75e | 2026-01-13T00:00:00-05:00 | On Angels and Demons: Strategic (De)Construction of Dynamic Models | arXiv:2601.07690v1 Announce Type: new Abstract: In recent years, there has been growing interest in logics that formalise strategic reasoning about agents capable of modifying the structure of a given model. This line of research has been motivated by applications where a modelled system evolves over time, such as comm... | https://arxiv.org/abs/2601.07690 | Academic Papers | svg |
9830abb964b1f59241d77a78eb5ba10b8c96793ffc6b5ab24c52253adaa905e8 | 2026-01-13T00:00:00-05:00 | Leveraging 3D Representation Alignment and RGB Pretrained Priors for LiDAR Scene Generation | arXiv:2601.07692v1 Announce Type: new Abstract: LiDAR scene synthesis is an emerging solution to scarcity in 3D data for robotic tasks such as autonomous driving. Recent approaches employ diffusion or flow matching models to generate realistic scenes, but 3D data remains limited compared to RGB datasets with millions o... | https://arxiv.org/abs/2601.07692 | Academic Papers | svg |
ac27286f3a5b65d670f2fed9b862cf8d5e8bf6aae6c469b24f385a4627574c09 | 2026-01-13T00:00:00-05:00 | Smooth Operator: Smooth Verifiable Reward Activates Spatial Reasoning Ability of Vision-Language Model | arXiv:2601.07695v1 Announce Type: new Abstract: Vision-Language Models (VLMs) face a critical bottleneck in achieving precise numerical prediction for 3D scene understanding. Traditional reinforcement learning (RL) approaches, primarily based on relative ranking, often suffer from severe reward sparsity and gradient in... | https://arxiv.org/abs/2601.07695 | Academic Papers | svg |
af31a602d2b124111be3cb4f557c2ecad18fc88fb50c4282ba04edd423e7d113 | 2026-01-13T00:00:00-05:00 | Exploring the Meta-level Reasoning of Large Language Models via a Tool-based Multi-hop Tabular Question Answering Task | arXiv:2601.07696v1 Announce Type: new Abstract: Recent advancements in Large Language Models (LLMs) are increasingly focused on "reasoning" ability, a concept with many overlapping definitions in the LLM discourse. We take a more structured approach, distinguishing meta-level reasoning (denoting the process of reasonin... | https://arxiv.org/abs/2601.07696 | Academic Papers | svg |
33d32b666e1a1fae8cbe19c456741d7614f0786992a5fc052f366943649fc2e5 | 2026-01-13T00:00:00-05:00 | Emotional Support Evaluation Framework via Controllable and Diverse Seeker Simulator | arXiv:2601.07698v1 Announce Type: new Abstract: As emotional support chatbots have recently gained significant traction across both research and industry, a common evaluation strategy has emerged: use help-seeker simulators to interact with supporter chatbots. However, current simulators suffer from two critical limita... | https://arxiv.org/abs/2601.07698 | Academic Papers | svg |
71445d236fadf0e4787342520c064215ba340fa575e7e3d57c322eaa754ad642 | 2026-01-13T00:00:00-05:00 | Hidden Monotonicity: Explaining Deep Neural Networks via their DC Decomposition | arXiv:2601.07700v1 Announce Type: new Abstract: It has been demonstrated in various contexts that monotonicity leads to better explainability in neural networks. However, not every function can be well approximated by a monotone neural network. We demonstrate that monotonicity can still be used in two ways to boost exp... | https://arxiv.org/abs/2601.07700 | Academic Papers | svg |
a46536ffe275599cecbfbbfddd1e58f831241ba6c5f00863fc96983d2026a946 | 2026-01-13T00:00:00-05:00 | Deep Whole-body Parkour | arXiv:2601.07701v1 Announce Type: new Abstract: Current approaches to humanoid control generally fall into two paradigms: perceptive locomotion, which handles terrain well but is limited to pedal gaits, and general motion tracking, which reproduces complex skills but ignores environmental capabilities. This work unites... | https://arxiv.org/abs/2601.07701 | Academic Papers | svg |
2b8fb94d7c6a29e0132bc0a09801e8a59f7231ce0c7965ae123b4780c1477107 | 2026-01-13T00:00:00-05:00 | TMATDG: applying TDG methods to multiple scattering via T-matrix approximation | arXiv:2601.07704v1 Announce Type: new Abstract: We present a MATLAB package for the solution of multiple scattering problems, coupling Trefftz Discontinuos Galerkin methods for Helmholtz scattering with the T-matrix method. We rely on the TMATROM package to numerically approximate the T-matrices and deal with multiple ... | https://arxiv.org/abs/2601.07704 | Academic Papers | svg |
16d95fe7b320ce27fec3329c3c3a9b8c2e7b039d3645becc32f6d12190b2dd42 | 2026-01-13T00:00:00-05:00 | Is Agentic RAG worth it? An experimental comparison of RAG approaches | arXiv:2601.07711v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) systems are usually defined by the combination of a generator and a retrieval component that extracts textual context from a knowledge base to answer user queries. However, such basic implementations exhibit several limitations, includ... | https://arxiv.org/abs/2601.07711 | Academic Papers | svg |
3068fd97102f5bddbea9339020ee8699e91fc0ff67e8a6ca27c3f2dec58b2168 | 2026-01-13T00:00:00-05:00 | Enforcing Priority in Schedule-based User Equilibrium Transit Assignment | arXiv:2601.07712v1 Announce Type: new Abstract: Denied boarding in congested transit systems induces queuing delays and departure-time shifts that can reshape passenger flows. Correctly modeling these responses in transit assignment hinges on the enforcement of two priority rules: continuance priority for onboard passe... | https://arxiv.org/abs/2601.07712 | Academic Papers | svg |
3e7900772374bdcb1db260c2b3237595e0259e91c14394cd35bc11b3df0b5958 | 2026-01-13T00:00:00-05:00 | Safe Navigation under Uncertain Obstacle Dynamics using Control Barrier Functions and Constrained Convex Generators | arXiv:2601.07715v1 Announce Type: new Abstract: This paper presents a sampled-data framework for the safe navigation of controlled agents in environments cluttered with obstacles governed by uncertain linear dynamics. Collision-free motion is achieved by combining Control Barrier Function (CBF)-based safety filtering w... | https://arxiv.org/abs/2601.07715 | Academic Papers | svg |
35ec349d306f12e55ac57332f99ce5b61be1df340f9f239919a11cc2a9095a5d | 2026-01-13T00:00:00-05:00 | Hiking in the Wild: A Scalable Perceptive Parkour Framework for Humanoids | arXiv:2601.07718v1 Announce Type: new Abstract: Achieving robust humanoid hiking in complex, unstructured environments requires transitioning from reactive proprioception to proactive perception. However, integrating exteroception remains a significant challenge: mapping-based methods suffer from state estimation drift... | https://arxiv.org/abs/2601.07718 | Academic Papers | svg |
dca2e1c16d14db9e4da9c471565a1a7e4920246b13d1506c9bde43897ac628ab | 2026-01-13T00:00:00-05:00 | FMAC: a Fair Fiducial Marker Accuracy Comparison Software | arXiv:2601.07723v1 Announce Type: new Abstract: This paper presents a method for carrying fair comparisons of the accuracy of pose estimation using fiducial markers. These comparisons rely on large sets of high-fidelity synthetic images enabling deep exploration of the 6 degrees of freedom. A low-discrepancy sampling o... | https://arxiv.org/abs/2601.07723 | Academic Papers | svg |
791c2132ebf4ba57e2bfd17fc784dac7f92199c51166116d687d8edf8261a9dc | 2026-01-13T00:00:00-05:00 | Weak Composition Lattices and Ring-Linear Anticodes | arXiv:2601.07725v1 Announce Type: new Abstract: Lattices and partially ordered sets have played an increasingly important role in coding theory, providing combinatorial frameworks for studying structural and algebraic properties of error-correcting codes. Motivated by recent works connecting lattice theory, anticodes, ... | https://arxiv.org/abs/2601.07725 | Academic Papers | svg |
74436101e916faf88689bc5729980ac51033bc1ecc9b70798eee314fa35c0c49 | 2026-01-13T00:00:00-05:00 | TeeMAF: A TEE-Based Mutual Attestation Framework for On-Chain and Off-Chain Functions in Blockchain DApps | arXiv:2601.07726v1 Announce Type: new Abstract: The rapid development of Internet of Things (IoT) technology has led to growing concerns about data security and user privacy in the interactions within distributed systems. Decentralized Applications (DApps) in distributed systems consist of on-chain and off-chain functi... | https://arxiv.org/abs/2601.07726 | Academic Papers | svg |
4623ea893c4c72472243b11f326465545ca9aeff40ea6b304d1f96220f20b358 | 2026-01-13T00:00:00-05:00 | Explicit complex time integrators for stiff problems | arXiv:2601.07730v1 Announce Type: new Abstract: Most numerical methods for time integration use real-valued time steps. Complex time steps, however, can provide an additional degree of freedom, as we can select the magnitude of the time step in both the real and imaginary directions. We show that specific paths in the ... | https://arxiv.org/abs/2601.07730 | Academic Papers | svg |
c11e574a0095cb4fe4296187fd328099cc8084dcb1f6d89030313a584ba8ec3f | 2026-01-13T00:00:00-05:00 | Evaluating Impacts of Traffic Regulations in Complex Mobility Systems Using Scenario-Based Simulations | arXiv:2601.07735v1 Announce Type: new Abstract: Urban traffic regulation policies are increasingly used to address congestion, emissions, and accessibility in cities, yet their impacts are difficult to assess due to the socio-technical complexity of urban mobility systems. Recent advances in data availability and compu... | https://arxiv.org/abs/2601.07735 | Academic Papers | svg |
1f05f2fe047dac679ef62f00ba4d91e0d6506088cb05c3a3b433d32893522cb0 | 2026-01-13T00:00:00-05:00 | Evaluating the encoding competence of visual language models using uncommon actions | arXiv:2601.07737v1 Announce Type: new Abstract: We propose UAIT (Uncommon-sense Action Image-Text) dataset, a new evaluation benchmark designed to test the semantic understanding ability of visual language models (VLMs) in uncommon-sense action scenes. Unlike previous datasets that focus on common visual scenes with st... | https://arxiv.org/abs/2601.07737 | Academic Papers | svg |
9761cea9d15fb32d44487eab412ab2744596f99ccd20ac0a3330366bd04442d6 | 2026-01-13T00:00:00-05:00 | Predefined-time One-Shot Cooperative Estimation, Guidance, and Control for Simultaneous Target Interception | arXiv:2601.07744v1 Announce Type: new Abstract: This work develops a unified nonlinear estimation-guidance-control framework for cooperative simultaneous interception of a stationary target under a heterogeneous sensing topology, where sensing capabilities are non-uniform across interceptors. Specifically, only a subse... | https://arxiv.org/abs/2601.07744 | Academic Papers | svg |
c4c05170d99632e564e776fa03f2597cb32907e74d931de9a376fa861bbccf04 | 2026-01-13T00:00:00-05:00 | Improving Domain Generalization in Contrastive Learning using Adaptive Temperature Control | arXiv:2601.07748v1 Announce Type: new Abstract: Self-supervised pre-training with contrastive learning is a powerful method for learning from sparsely labeled data. However, performance can drop considerably when there is a shift in the distribution of data from training to test time. We study this phenomenon in a sett... | https://arxiv.org/abs/2601.07748 | Academic Papers | svg |
6be490406b923d2c3b558cf2af46a98bb4ffb5aefff1c3793d81ff53715fb143 | 2026-01-13T00:00:00-05:00 | On the application of the Wasserstein metric to 2D curves classification | arXiv:2601.07749v1 Announce Type: new Abstract: In this work we analyse a number of variants of the Wasserstein distance which allow to focus the classification on the prescribed parts (fragments) of classified 2D curves. These variants are based on the use of a number of discrete probability measures which reflect the... | https://arxiv.org/abs/2601.07749 | Academic Papers | svg |
0741fb3de07a3c4851f30ffe6f2ef7c3aa5aef9673e85e656b39f4d530455d0e | 2026-01-13T00:00:00-05:00 | Structure First, Reason Next: Enhancing a Large Language Model using Knowledge Graph for Numerical Reasoning in Financial Documents | arXiv:2601.07754v1 Announce Type: new Abstract: Numerical reasoning is an important task in the analysis of financial documents. It helps in understanding and performing numerical predictions with logical conclusions for the given query seeking answers from financial texts. Recently, Large Language Models (LLMs) have s... | https://arxiv.org/abs/2601.07754 | Academic Papers | svg |
bfd57b247505921f87c8268039d38684017709410950a4adaa5d2b443a7524a3 | 2026-01-13T00:00:00-05:00 | On the Compact Discontinuous Galerkin method for polytopal meshes | arXiv:2601.07757v1 Announce Type: new Abstract: The Compact Discontinuous Galerkin method was introduced by Peraire and Persson in (SIAM J. Sci. Comput., 30, 1806--1824, 2008). In this work, we present the stability and convergence analysis for the $hp$-version of this method applied to elliptic problems on polytopal m... | https://arxiv.org/abs/2601.07757 | Academic Papers | svg |
b96aa7155bf9d0f99e983bb827efbea03beea5fb1b524f678a14f90dd84e06cd | 2026-01-13T00:00:00-05:00 | Free-RBF-KAN: Kolmogorov-Arnold Networks with Adaptive Radial Basis Functions for Efficient Function Learning | arXiv:2601.07760v1 Announce Type: new Abstract: Kolmogorov-Arnold Networks (KANs) have shown strong potential for efficiently approximating complex nonlinear functions. However, the original KAN formulation relies on B-spline basis functions, which incur substantial computational overhead due to De Boor's algorithm. To... | https://arxiv.org/abs/2601.07760 | Academic Papers | svg |
0e617a5173b191c94085c77e43e335790fb03b7e4025bbd9f8b69f4f9963032e | 2026-01-13T00:00:00-05:00 | Video Evidence to Reasoning Efficient Video Understanding via Explicit Evidence Grounding | arXiv:2601.07761v1 Announce Type: new Abstract: Large Vision-Language Models (LVLMs) face a fundamental dilemma in video reasoning: they are caught between the prohibitive computational costs of verbose reasoning and the hallucination risks of efficient, ungrounded approaches. To resolve this, we introduce the Chain of... | https://arxiv.org/abs/2601.07761 | Academic Papers | svg |
3d84af963023412b050551ca502ab5ed5370531e09ce9265e101d00fd5f6ac4b | 2026-01-13T00:00:00-05:00 | Structural Approach to Guiding a Present-Biased Agent | arXiv:2601.07763v1 Announce Type: new Abstract: Time-inconsistent behavior, such as procrastination or abandonment of long-term goals, arises when agents evaluate immediate outcomes disproportionately higher than future ones. This leads to globally suboptimal behavior, where plans are frequently revised or abandoned en... | https://arxiv.org/abs/2601.07763 | Academic Papers | svg |
153c0d92011d15b763e5ab397cec281596adb6c042e9989c42d3370bc1897777 | 2026-01-13T00:00:00-05:00 | Contrastive Learning with Narrative Twins for Modeling Story Salience | arXiv:2601.07765v1 Announce Type: new Abstract: Understanding narratives requires identifying which events are most salient for a story's progression. We present a contrastive learning framework for modeling narrative salience that learns story embeddings from narrative twins: stories that share the same plot but diffe... | https://arxiv.org/abs/2601.07765 | Academic Papers | svg |
ec3839ebb161e7067280802c05fd29179d9c91812bd2f517410fed11d9f5742f | 2026-01-13T00:00:00-05:00 | Are LLM Decisions Faithful to Verbal Confidence? | arXiv:2601.07767v1 Announce Type: new Abstract: Large Language Models (LLMs) can produce surprisingly sophisticated estimates of their own uncertainty. However, it remains unclear to what extent this expressed confidence is tied to the reasoning, knowledge, or decision making of the model. To test this, we introduce $\... | https://arxiv.org/abs/2601.07767 | Academic Papers | svg |
f5e4b9311461d1bb52e80c70c5e53e6a67464f92e7ab562388c8935aa4420cba | 2026-01-13T00:00:00-05:00 | THETA: Triangulated Hand-State Estimation for Teleoperation and Automation in Robotic Hand Control | arXiv:2601.07768v1 Announce Type: new Abstract: The teleoperation of robotic hands is limited by the high costs of depth cameras and sensor gloves, commonly used to estimate hand relative joint positions (XYZ). We present a novel, cost-effective approach using three webcams for triangulation-based tracking to approxima... | https://arxiv.org/abs/2601.07768 | Academic Papers | svg |
43a20877b6fd84ecfd0a6cf0107f5bc7df383dfdd6f638cd58174e2e72c1ff4f | 2026-01-13T00:00:00-05:00 | Beyond External Guidance: Unleashing the Semantic Richness Inside Diffusion Transformers for Improved Training | arXiv:2601.07773v1 Announce Type: new Abstract: Recent works such as REPA have shown that guiding diffusion models with external semantic features (e.g., DINO) can significantly accelerate the training of diffusion transformers (DiTs). However, this requires the use of pretrained external networks, introducing addition... | https://arxiv.org/abs/2601.07773 | Academic Papers | svg |
bf4161f4cdd384436bad9fd9909471436a0031819d7b4eb70dd32912cdd214f2 | 2026-01-13T00:00:00-05:00 | The Complexity of Games with Randomised Control | arXiv:2601.07775v1 Announce Type: new Abstract: We study the complexity of solving two-player infinite duration games played on a fixed finite graph, where the control of a node is not predetermined but rather assigned randomly. In classic random-turn games, control of each node is assigned randomly every time the node... | https://arxiv.org/abs/2601.07775 | Academic Papers | svg |
0a6ff04bbf014c3173f842813cd3fc56c9fb04bfb0e007ba259003dad2fbc094 | 2026-01-13T00:00:00-05:00 | DT-ICU: Towards Explainable Digital Twins for ICU Patient Monitoring via Multi-Modal and Multi-Task Iterative Inference | arXiv:2601.07778v1 Announce Type: new Abstract: We introduce DT-ICU, a multimodal digital twin framework for continuous risk estimation in intensive care. DT-ICU integrates variable-length clinical time series with static patient information in a unified multitask architecture, enabling predictions to be updated as new... | https://arxiv.org/abs/2601.07778 | Academic Papers | svg |
d4309f0129a5221aaf951c74d824c6122e3dd782e6aa9dfaeae257ad8ea1ec7a | 2026-01-13T00:00:00-05:00 | OS-Symphony: A Holistic Framework for Robust and Generalist Computer-Using Agent | arXiv:2601.07779v1 Announce Type: new Abstract: While Vision-Language Models (VLMs) have significantly advanced Computer-Using Agents (CUAs), current frameworks struggle with robustness in long-horizon workflows and generalization in novel domains. These limitations stem from a lack of granular control over historical ... | https://arxiv.org/abs/2601.07779 | Academic Papers | svg |
6895aff0f3ffa5e2e4de95bf2dc761a0ebcde96b09b37941d43e9bc790a577cd | 2026-01-13T00:00:00-05:00 | Enhancing Self-Correction in Large Language Models through Multi-Perspective Reflection | arXiv:2601.07780v1 Announce Type: new Abstract: While Chain-of-Thought (CoT) prompting advances LLM reasoning, challenges persist in consistency, accuracy, and self-correction, especially for complex or ethically sensitive tasks. Existing single-dimensional reflection methods offer insufficient improvements. We propose... | https://arxiv.org/abs/2601.07780 | Academic Papers | svg |
7734913a4197aa35fe2377cb8c1a7acfdaec2aa4f3d45d060996f0537452058b | 2026-01-13T00:00:00-05:00 | Beyond Single-Shot: Multi-step Tool Retrieval via Query Planning | arXiv:2601.07782v1 Announce Type: new Abstract: LLM agents operating over massive, dynamic tool libraries rely on effective retrieval, yet standard single-shot dense retrievers struggle with complex requests. These failures primarily stem from the disconnect between abstract user goals and technical documentation, and ... | https://arxiv.org/abs/2601.07782 | Academic Papers | svg |
9148182fbee90bca7966ec840c9ea7bf648310ebc726aad97167fb87b8a8c044 | 2026-01-13T00:00:00-05:00 | Affordable Data Collection System for UAVs Taxi Vibration Testing | arXiv:2601.07783v1 Announce Type: new Abstract: Structural vibration testing plays a key role in aerospace engineering for evaluating dynamic behaviour, ensuring reliability and verifying structural integrity. These tests rely on accurate and robust data acquisition systems (DAQ) to capture high-quality acceleration da... | https://arxiv.org/abs/2601.07783 | Academic Papers | svg |
f926c9d0b1fb559f44a1cf73b438be7ba0c4e345a9342f7c0b6f915f35a0a875 | 2026-01-13T00:00:00-05:00 | "TODO: Fix the Mess Gemini Created": Towards Understanding GenAI-Induced Self-Admitted Technical Debt | arXiv:2601.07786v1 Announce Type: new Abstract: As large language models (LLMs) such as ChatGPT, Copilot, Claude, and Gemini become integrated into software development workflows, developers increasingly leave traces of AI involvement in their code comments. Among these, some comments explicitly acknowledge both the us... | https://arxiv.org/abs/2601.07786 | Academic Papers | svg |
a170b7c9928f33d9c7a2d54bab31fef0ddb5b421ae26ecc11ff86490d5984f72 | 2026-01-13T00:00:00-05:00 | Passing the Baton: Shift Handovers within Cybersecurity Incident Response Teams | arXiv:2601.07788v1 Announce Type: new Abstract: Effective shift transitions are crucial for cybersecurity incident response teams, yet there is limited guidance on managing these handovers. This exploratory study aimed to develop guidelines for such transitions through the analysis of existing literature and consultati... | https://arxiv.org/abs/2601.07788 | Academic Papers | svg |
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