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f833ce22f03b29aaa33a681f751fd6270f51fbbe5e089a7b9a937133428006b1 | 2026-01-21T00:00:00-05:00 | Reasoning or Pattern Matching? Probing Large Vision-Language Models with Visual Puzzles | arXiv:2601.13705v1 Announce Type: new Abstract: Puzzles have long served as compact and revealing probes of human cognition, isolating abstraction, rule discovery, and systematic reasoning with minimal reliance on prior knowledge. Leveraging these properties, visual puzzles have recently emerged as a powerful diagnosti... | https://arxiv.org/abs/2601.13705 | Academic Papers | svg |
42ba428d5dcd267ebd086ff9f7662a248ad15000a9b5814bc33b6ba15328a43c | 2026-01-21T00:00:00-05:00 | ParkingTwin: Training-Free Streaming 3D Reconstruction for Parking-Lot Digital Twins | arXiv:2601.13706v1 Announce Type: new Abstract: High-fidelity parking-lot digital twins provide essential priors for path planning, collision checking, and perception validation in Automated Valet Parking (AVP). Yet robot-oriented reconstruction faces a trilemma: sparse forward-facing views cause weak parallax and ill-... | https://arxiv.org/abs/2601.13706 | Academic Papers | svg |
a293c45ea8111adde72c5b8d82f257b7c3773747b65b9ca0f4b456f5e5254ec1 | 2026-01-21T00:00:00-05:00 | Attention-space Contrastive Guidance for Efficient Hallucination Mitigation in LVLMs | arXiv:2601.13707v1 Announce Type: new Abstract: Hallucinations in large vision-language models (LVLMs) often arise when language priors dominate over visual evidence, causing object misidentification and visually inconsistent descriptions. We address this issue by framing hallucination mitigation as contrastive guidanc... | https://arxiv.org/abs/2601.13707 | Academic Papers | svg |
89eccb2d8e6f0e6c50d917e6e9c82db3f86ce5d79381be5cca53bc175fa8cce5 | 2026-01-21T00:00:00-05:00 | Hidden in Plain Text: Measuring LLM Deception Quality Against Human Baselines Using Social Deduction Games | arXiv:2601.13709v1 Announce Type: new Abstract: Large Language Model (LLM) agents are increasingly used in many applications, raising concerns about their safety. While previous work has shown that LLMs can deceive in controlled tasks, less is known about their ability to deceive using natural language in social contex... | https://arxiv.org/abs/2601.13709 | Academic Papers | svg |
3007f20520427cb21e4c6a7aba89e18a26e5c97f68e3d6cdd34d1af1537e3197 | 2026-01-21T00:00:00-05:00 | Who Should Have Surgery? A Comparative Study of GenAI vs Supervised ML for CRS Surgical Outcome Prediction | arXiv:2601.13710v1 Announce Type: new Abstract: Artificial intelligence has reshaped medical imaging, yet the use of AI on clinical data for prospective decision support remains limited. We study pre-operative prediction of clinically meaningful improvement in chronic rhinosinusitis (CRS), defining success as a more th... | https://arxiv.org/abs/2601.13710 | Academic Papers | svg |
bfe0b698ae04b1e2aeb0674b2e27fe56b08fdf6c3c1361f519ce762b5da29c8e | 2026-01-21T00:00:00-05:00 | GerAV: Towards New Heights in German Authorship Verification using Fine-Tuned LLMs on a New Benchmark | arXiv:2601.13711v1 Announce Type: new Abstract: Authorship verification (AV) is the task of determining whether two texts were written by the same author and has been studied extensively, predominantly for English data. In contrast, large-scale benchmarks and systematic evaluations for other languages remain scarce. We... | https://arxiv.org/abs/2601.13711 | Academic Papers | svg |
35ec8e4d53f5cdacb108d431ac2efa97c8271127b03322addba777d1ca896fff | 2026-01-21T00:00:00-05:00 | Nonlinear compressive reduced basis approximation : when Taylor meets Kolmogorov | arXiv:2601.13712v1 Announce Type: new Abstract: This paper investigates model reduction methods for efficiently approximating the solution of parameter-dependent PDEs with a multi-parameter vector $\vec{\mu} \in \mathbb{R}^p$. In cases where the Kolmogorov $N$-width decays fast enough, it is effective to approximate th... | https://arxiv.org/abs/2601.13712 | Academic Papers | svg |
13d536c2b11af70f20fe0648d2977be8a852be6b0e22b36fab03b3e39ee4e215 | 2026-01-21T00:00:00-05:00 | SWE-Tester: Training Open-Source LLMs for Issue Reproduction in Real-World Repositories | arXiv:2601.13713v1 Announce Type: new Abstract: Software testing is crucial for ensuring the correctness and reliability of software systems. Automated generation of issue reproduction tests from natural language issue descriptions enhances developer productivity by simplifying root cause analysis, promotes test-driven... | https://arxiv.org/abs/2601.13713 | Academic Papers | svg |
85a6bfce76235d96f7589ef887a551500f6a80c33f74679ff10afcb0e4413d5a | 2026-01-21T00:00:00-05:00 | MVGD-Net: A Novel Motion-aware Video Glass Surface Detection Network | arXiv:2601.13715v1 Announce Type: new Abstract: Glass surface ubiquitous in both daily life and professional environments presents a potential threat to vision-based systems, such as robot and drone navigation. To solve this challenge, most recent studies have shown significant interest in Video Glass Surface Detection... | https://arxiv.org/abs/2601.13715 | Academic Papers | svg |
1fdf70202b36b71deedeb437dbe354918e2819ab3928a901991893651b8d89ee | 2026-01-21T00:00:00-05:00 | Simulated Ignorance Fails: A Systematic Study of LLM Behaviors on Forecasting Problems Before Model Knowledge Cutoff | arXiv:2601.13717v1 Announce Type: new Abstract: Evaluating LLM forecasting capabilities is constrained by a fundamental tension: prospective evaluation offers methodological rigor but prohibitive latency, while retrospective forecasting (RF) -- evaluating on already-resolved events -- faces rapidly shrinking clean eval... | https://arxiv.org/abs/2601.13717 | Academic Papers | svg |
073d43adc374153f20473308ba5cc52b63c904e638d31ff8eddd90a3d2727bf2 | 2026-01-21T00:00:00-05:00 | Hierarchical Long Video Understanding with Audiovisual Entity Cohesion and Agentic Search | arXiv:2601.13719v1 Announce Type: new Abstract: Long video understanding presents significant challenges for vision-language models due to extremely long context windows. Existing solutions relying on naive chunking strategies with retrieval-augmented generation, typically suffer from information fragmentation and a lo... | https://arxiv.org/abs/2601.13719 | Academic Papers | svg |
6575740b3469a4fe671498b390ebdf8ef8a924c8f107af3a182bb789309a99b0 | 2026-01-21T00:00:00-05:00 | OP-Bench: Benchmarking Over-Personalization for Memory-Augmented Personalized Conversational Agents | arXiv:2601.13722v1 Announce Type: new Abstract: Memory-augmented conversational agents enable personalized interactions using long-term user memory and have gained substantial traction. However, existing benchmarks primarily focus on whether agents can recall and apply user information, while overlooking whether such p... | https://arxiv.org/abs/2601.13722 | Academic Papers | svg |
7274dc626bb88e05f7b1a19d89dd5987db92585a4d583db46f300a441f3fc285 | 2026-01-21T00:00:00-05:00 | Facial Spatiotemporal Graphs: Leveraging the 3D Facial Surface for Remote Physiological Measurement | arXiv:2601.13724v1 Announce Type: new Abstract: Facial remote photoplethysmography (rPPG) methods estimate physiological signals by modeling subtle color changes on the 3D facial surface over time. However, existing methods fail to explicitly align their receptive fields with the 3D facial surface-the spatial support o... | https://arxiv.org/abs/2601.13724 | Academic Papers | svg |
b9de790a37261c027d979503c6bec89ac08d19414f4466c9769bcf825e8215a0 | 2026-01-21T00:00:00-05:00 | Foundational VeriFast: Pragmatic Certification of Verification Tool Results through Hinted Mirroring | arXiv:2601.13727v1 Announce Type: new Abstract: VeriFast is a leading tool for the modular formal verification of correctness properties of single-threaded and multi-threaded C and Rust programs. It verifies a program by symbolically executing each function in isolation, exploiting user-annotated preconditions, postcon... | https://arxiv.org/abs/2601.13727 | Academic Papers | svg |
29e43466f179148ba12b228f9c8cf13e22037e0e61a178106517ac6eb2a5a95e | 2026-01-21T00:00:00-05:00 | On Temperature-Constrained Non-Deterministic Machine Translation: Potential and Evaluation | arXiv:2601.13729v1 Announce Type: new Abstract: In recent years, the non-deterministic properties of language models have garnered considerable attention and have shown a significant influence on real-world applications. However, such properties remain under-explored in machine translation (MT), a complex, non-determin... | https://arxiv.org/abs/2601.13729 | Academic Papers | svg |
527634d516b692f02973b04651b431bb5c3aaa793136e5a58b63636ffed7e8bd | 2026-01-21T00:00:00-05:00 | Breaking the Data Barrier in Learning Symbolic Computation: A Case Study on Variable Ordering Suggestion for Cylindrical Algebraic Decomposition | arXiv:2601.13731v1 Announce Type: new Abstract: Symbolic computation, powered by modern computer algebra systems, has important applications in mathematical reasoning through exact deep computations. The efficiency of symbolic computation is largely constrained by such deep computations in high dimension. This creates ... | https://arxiv.org/abs/2601.13731 | Academic Papers | svg |
ea6cffc80b537b06bd3bdd3f167c389774d283039d33d581da7222010584dd52 | 2026-01-21T00:00:00-05:00 | SUNSET -- A Sensor-fUsioN based semantic SegmEnTation exemplar for ROS-based self-adaptation | arXiv:2601.13732v1 Announce Type: new Abstract: The fact that robots are getting deployed more often in dynamic environments, together with the increasing complexity of their software systems, raises the need for self-adaptive approaches. In these environments robotic software systems increasingly operate amid (1) unce... | https://arxiv.org/abs/2601.13732 | Academic Papers | svg |
9b4bda954c6f7053fffc5c21acb66f19bb8ba154267c9a575190d13976990ffa | 2026-01-21T00:00:00-05:00 | Towards robust long-context understanding of large language model via active recap learning | arXiv:2601.13734v1 Announce Type: new Abstract: In this paper, we propose active recap learning (ARL), a framework for enhancing large language model (LLM) in understanding long contexts. ARL enables models to revisit and summarize earlier content through targeted sequence construction during contined pretraining and r... | https://arxiv.org/abs/2601.13734 | Academic Papers | svg |
52d622c9d1aab7b89c3d8108d9b566086b005cf6e1d5f6288ed66a08aff39fe0 | 2026-01-21T00:00:00-05:00 | Reasoning or Fluency? Dissecting Probabilistic Confidence in Best-of-N Selection | arXiv:2601.13735v1 Announce Type: new Abstract: Probabilistic confidence metrics are increasingly adopted as proxies for reasoning quality in Best-of-N selection, under the assumption that higher confidence reflects higher reasoning fidelity. In this work, we challenge this assumption by investigating whether these met... | https://arxiv.org/abs/2601.13735 | Academic Papers | svg |
0c9302e93f8fab67669a5affd90004ea4ec83acc6e37a57ee30c8ea3a8eb0fa1 | 2026-01-21T00:00:00-05:00 | RIM Hand : A Robotic Hand with an Accurate Carpometacarpal Joint and Nitinol-Supported Skeletal Structure | arXiv:2601.13737v1 Announce Type: new Abstract: This paper presents the flexible RIM Hand, a biomimetic robotic hand that precisely replicates the carpometacarpal (CMC) joints and employs superelastic Nitinol wires throughout its skeletal framework. By modeling the full carpal-to-metacarpal anatomy, the design enables ... | https://arxiv.org/abs/2601.13737 | Academic Papers | svg |
b1f2d2499cf0076df18b4353731fc936aaa3765b84d45239323893d521bba514 | 2026-01-21T00:00:00-05:00 | Dimension-First Evaluation of Speech-to-Speech Models with Structured Acoustic Cues | arXiv:2601.13742v1 Announce Type: new Abstract: Large Language Model (LLM) judges exhibit strong reasoning capabilities but are limited to textual content. This leaves current automatic Speech-to-Speech (S2S) evaluation methods reliant on opaque and expensive Audio Language Models (ALMs). In this work, we propose TRACE... | https://arxiv.org/abs/2601.13742 | Academic Papers | svg |
76204aaf79c87af12fc28d15402e3c9c29497879e3a2c638b4cfe3727c87e06f | 2026-01-21T00:00:00-05:00 | Counterexample Classification against Signal Temporal Logic Specifications | arXiv:2601.13743v1 Announce Type: new Abstract: Signal Temporal Logic (STL) has been widely adopted as a specification language for specifying desirable behaviors of hybrid systems. By monitoring a given STL specification, we can detect the executions that violate it, which are often referred to as counterexamples. In ... | https://arxiv.org/abs/2601.13743 | Academic Papers | svg |
0deaeed6da9d769792e622b1f953c274bfa230e508c9d2f5ec86bd57e2bc06c2 | 2026-01-21T00:00:00-05:00 | Variational Dual-path Attention Network for CSI-Based Gesture Recognition | arXiv:2601.13745v1 Announce Type: new Abstract: Wi-Fi gesture recognition based on Channel State Information (CSI) is challenged by high-dimensional noise and resource constraints on edge devices. Prevailing end-to-end models tightly couple feature extraction with classification, overlooking the inherent time-frequency... | https://arxiv.org/abs/2601.13745 | Academic Papers | svg |
775a99e8a664c737008b084c6094b82a00635124f7f7428b7a632587dd36f1d9 | 2026-01-21T00:00:00-05:00 | EEG-Titans: Long-Horizon Seizure Forecasting via Dual-Branch Attention and Neural Memory | arXiv:2601.13748v1 Announce Type: new Abstract: Accurate epileptic seizure prediction from electroencephalography (EEG) remains challenging because pre-ictal dynamics may span long time horizons while clinically relevant signatures can be subtle and transient. Many deep learning models face a persistent trade-off betwe... | https://arxiv.org/abs/2601.13748 | Academic Papers | svg |
f26fe739e765acdbd060284bae529a08a0ae3a5788accc1783075b1c6c1f6632 | 2026-01-21T00:00:00-05:00 | Pro-AI Bias in Large Language Models | arXiv:2601.13749v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly employed for decision-support across multiple domains. We investigate whether these models display a systematic preferential bias in favor of artificial intelligence (AI) itself. Across three complementary experiments, we find... | https://arxiv.org/abs/2601.13749 | Academic Papers | svg |
b8dbf66c56a1c74fbdffcea1c185d94f04cf60d7a6116ff53f1fcb1631f71044 | 2026-01-21T00:00:00-05:00 | HiT: History-Injection Transformers for Onboard Continuous Flood Change Detection | arXiv:2601.13751v1 Announce Type: new Abstract: Natural disaster monitoring through continuous satellite observation requires processing multi-temporal data under strict operational constraints. This paper addresses flood detection, a critical application for hazard management, by developing an onboard change detection... | https://arxiv.org/abs/2601.13751 | Academic Papers | svg |
7f1a91859740e7028ad09adc5c0ab0b5d523d5e24fd8d271eb262696cbca0084 | 2026-01-21T00:00:00-05:00 | Finding RELIEF: Shaping Reasoning Behavior without Reasoning Supervision via Belief Engineering | arXiv:2601.13752v1 Announce Type: new Abstract: Large reasoning models (LRMs) have achieved remarkable success in complex problem-solving, yet they often suffer from computational redundancy or reasoning unfaithfulness. Current methods for shaping LRM behavior typically rely on reinforcement learning or fine-tuning wit... | https://arxiv.org/abs/2601.13752 | Academic Papers | svg |
4a11b758e8edb10a42d2892e89c9c384d60aaecf3d5897612803541f67459189 | 2026-01-21T00:00:00-05:00 | Research on Adaptive Inertial Control in Synchronization Systems: Based on Variational Optimization Methods and Their Applications in the Stability of Complex Networks | arXiv:2601.13753v1 Announce Type: new Abstract: Aiming at the core problem that it is difficult for a fixed inertia coefficient to balance transient disturbance suppression and long-term stability in complex network synchronization systems, an adaptive inertia control strategy based on variational optimization is propo... | https://arxiv.org/abs/2601.13753 | Academic Papers | svg |
b0b4723c2b35799546a0e617ffa5e42ca8034e53216dc35ccc1a184e0efbaefb | 2026-01-21T00:00:00-05:00 | On Autopilot? An Empirical Study of Human-AI Teaming and Review Practices in Open Source | arXiv:2601.13754v1 Announce Type: new Abstract: Large Language Models (LLMs) increasingly automate software engineering tasks. While recent studies highlight the accelerated adoption of ``AI as a teammate'' in Open Source Software (OSS), developer interaction patterns remain under-explored. In this work, we investigate... | https://arxiv.org/abs/2601.13754 | Academic Papers | svg |
1caa1ab7ccb0690a2a7b5fd007dd0b11b72a01bc3d82720dff2ca50d7b207f3e | 2026-01-21T00:00:00-05:00 | The Limits of Conditional Volatility: Assessing Cryptocurrency VaR under EWMA and IGARCH Models | arXiv:2601.13757v1 Announce Type: new Abstract: The application of the standard static Geometric Brownian Motion (GBM) model for cryptocurrency risk management resulted in a systemic failure, evidenced by a 80.67% chance of loss in the 5% value-at-risk benchmark. This study addresses a critical literature gap by compar... | https://arxiv.org/abs/2601.13757 | Academic Papers | svg |
cd3e75e948cd1b6f2b5e550b952ddc1cce4fae69f7e3d6fd65073dfec65c4a13 | 2026-01-21T00:00:00-05:00 | GOMPSNR: Reflourish the Signal-to-Noise Ratio Metric for Audio Generation Tasks | arXiv:2601.13758v1 Announce Type: new Abstract: In the field of audio generation, signal-to-noise ratio (SNR) has long served as an objective metric for evaluating audio quality. Nevertheless, recent studies have shown that SNR and its variants are not always highly correlated with human perception, prompting us to rai... | https://arxiv.org/abs/2601.13758 | Academic Papers | svg |
5cd4ad4586a73a43e036a55f63d1377ca8aa248e0a0cb28dca8376dcaf3e90fe | 2026-01-21T00:00:00-05:00 | DARC: Decoupled Asymmetric Reasoning Curriculum for LLM Evolution | arXiv:2601.13761v1 Announce Type: new Abstract: Self-play with large language models has emerged as a promising paradigm for achieving self-improving artificial intelligence. However, existing self-play frameworks often suffer from optimization instability, due to (i) non-stationary objectives induced by solver-depende... | https://arxiv.org/abs/2601.13761 | Academic Papers | svg |
09d3adf34461666f945b328e9a0088fc7be47788d36b1c8046cf7c37f36bc728 | 2026-01-21T00:00:00-05:00 | TransMode-LLM: Feature-Informed Natural Language Modeling with Domain-Enhanced Prompting for Travel Behavior Modeling | arXiv:2601.13763v1 Announce Type: new Abstract: Understanding traveler behavior and accurately predicting travel mode choice are at the heart of transportation planning and policy-making. This study proposes TransMode-LLM, an innovative framework that integrates statistical methods with LLM-based techniques to predict ... | https://arxiv.org/abs/2601.13763 | Academic Papers | svg |
618be85f5f48b4b11822faf5a9d8971617d1d0373ac052443f37d1014db59d34 | 2026-01-21T00:00:00-05:00 | vLinear: A Powerful Linear Model for Multivariate Time Series Forecasting | arXiv:2601.13768v1 Announce Type: new Abstract: In this paper, we present \textbf{vLinear}, an effective yet efficient \textbf{linear}-based multivariate time series forecaster featuring two components: the \textbf{v}ecTrans module and the WFMLoss objective. Many state-of-the-art forecasters rely on self-attention or i... | https://arxiv.org/abs/2601.13768 | Academic Papers | svg |
13b65503045040311af6ed4e2256135ada6ace241ebd38579c1ac5e5a85e6a9a | 2026-01-21T00:00:00-05:00 | Interoperable rApp/xApp Control over O-RAN for Mobility-aware Dynamic Spectrum Allocation | arXiv:2601.13769v1 Announce Type: new Abstract: Open Radio Access Networks (O-RAN) enable the disaggregation of radio access functions and the deployment of control applications across different timescales. However, designing interoperable control schemes that jointly exploit long-term traffic awareness and near-real-t... | https://arxiv.org/abs/2601.13769 | Academic Papers | svg |
6a98fefb0e8676a4e149dabe095cf7086a6790ac1103c3da462f082c21010502 | 2026-01-21T00:00:00-05:00 | Look-Ahead-Bench: a Standardized Benchmark of Look-ahead Bias in Point-in-Time LLMs for Finance | arXiv:2601.13770v1 Announce Type: new Abstract: We introduce Look-Ahead-Bench, a standardized benchmark measuring look-ahead bias in Point-in-Time (PiT) Large Language Models (LLMs) within realistic and practical financial workflows. Unlike most existing approaches that primarily test inner lookahead knowledge via Q\\&... | https://arxiv.org/abs/2601.13770 | Academic Papers | svg |
07bb0488d8ca57c30cbeb28714a71feba45a011179dd20e6e8f94f6d8c645b0c | 2026-01-21T00:00:00-05:00 | A Blockchain-Oriented Software Engineering Architecture for Carbon Credit Certification Systems | arXiv:2601.13772v1 Announce Type: new Abstract: Carbon credit systems have emerged as a policy tool to incentivize emission reductions and support the transition to clean energy. Reliable carbon-credit certification depends on mechanisms that connect actual, measured renewable-energy production to verifiable emission-r... | https://arxiv.org/abs/2601.13772 | Academic Papers | svg |
f7317f6fb9bfc4e1ef00f14d4089595d939c8d83aedda36b25e94b93e33e6796 | 2026-01-21T00:00:00-05:00 | Orthogonium : A Unified, Efficient Library of Orthogonal and 1-Lipschitz Building Blocks | arXiv:2601.13776v1 Announce Type: new Abstract: Orthogonal and 1-Lipschitz neural network layers are essential building blocks in robust deep learning architectures, crucial for certified adversarial robustness, stable generative models, and reliable recurrent networks. Despite significant advancements, existing implem... | https://arxiv.org/abs/2601.13776 | Academic Papers | svg |
cb66e41e2607a35b06da382df97d736b7409d1ad8a75cdc3f8d4452463365f63 | 2026-01-21T00:00:00-05:00 | Sample Efficient Learning of Body-Environment Interaction of an Under-Actuated System | arXiv:2601.13777v1 Announce Type: new Abstract: Geometric mechanics provides valuable insights into how biological and robotic systems use changes in shape to move by mechanically interacting with their environment. In high-friction environments it provides that the entire interaction is captured by the ``motility map'... | https://arxiv.org/abs/2601.13777 | Academic Papers | svg |
2a88dafa0f59e479fc86d5938db01ea89fbf444e0981bcd5fcd9243591e86f6b | 2026-01-21T00:00:00-05:00 | Fit Matters: Format-Distance Alignment Improves Conversational Search | arXiv:2601.13778v1 Announce Type: new Abstract: Existing conversational search systems can synthesize information into responses, but they lack principled ways to adapt response formats to users' cognitive states. This paper investigates whether aligning format and distance, which involves matching information granular... | https://arxiv.org/abs/2601.13778 | Academic Papers | svg |
24b8ab97f4d81ebda2916a476edb0623ed38fbf4dda7146fff37dc3d6fb1561f | 2026-01-21T00:00:00-05:00 | Principled Latent Diffusion for Graphs via Laplacian Autoencoders | arXiv:2601.13780v1 Announce Type: new Abstract: Graph diffusion models achieve state-of-the-art performance in graph generation but suffer from quadratic complexity in the number of nodes -- and much of their capacity is wasted modeling the absence of edges in sparse graphs. Inspired by latent diffusion in other modali... | https://arxiv.org/abs/2601.13780 | Academic Papers | svg |
86edc7ac346465ebbac7d511c834400a56a98751a0821fa7f7c0228b359ed21f | 2026-01-21T00:00:00-05:00 | Area-universality in Outerplanar Graphs | arXiv:2601.13781v1 Announce Type: new Abstract: A rectangular floorplan is a partition of a rectangle into smaller rectangles such that no four rectangles meet at a single point. Rectangular floorplans arise naturally in a variety of applications, including VLSI design, architectural layout, and cartography, where effi... | https://arxiv.org/abs/2601.13781 | Academic Papers | svg |
c6866dec662e7c46918df0fc7d17be785d0968abd0968e0e5c8cf210fcbe369e | 2026-01-21T00:00:00-05:00 | Demystifying Starlink Network Performance under Vehicular Mobility with Dynamic Beam Switching | arXiv:2601.13790v1 Announce Type: new Abstract: In the last few years, considerable research efforts have focused on measuring and improving Starlink network performance, especially for user terminals (UTs) in stationary scenarios. However, the performance of Starlink networks in mobility settings, particularly with fr... | https://arxiv.org/abs/2601.13790 | Academic Papers | svg |
38987336d0b75291a06f738d181df69da60800b798f39cb099539a6dd7c39067 | 2026-01-21T00:00:00-05:00 | PAtt: A Pattern Attention Network for ETA Prediction Using Historical Speed Profiles | arXiv:2601.13793v1 Announce Type: new Abstract: In this paper, we propose an ETA model (Estimated Time of Arrival) that leverages an attention mechanism over historical road speed patterns. As autonomous driving and intelligent transportation systems become increasingly prevalent, the need for accurate and reliable ETA... | https://arxiv.org/abs/2601.13793 | Academic Papers | svg |
4bb8243dab8515099981ffc5a9aad374df1fa934c37754470a7d1e71bb7c0914 | 2026-01-21T00:00:00-05:00 | A Distributed Spatial Data Warehouse for AIS Data (DIPAAL) | arXiv:2601.13795v1 Announce Type: new Abstract: AIS data from ships is excellent for analyzing single-ship movements and monitoring all ships within a specific area. However, the AIS data needs to be cleaned, processed, and stored before being usable. This paper presents a system consisting of an efficient and modular ... | https://arxiv.org/abs/2601.13795 | Academic Papers | svg |
b605c9faeb344fa944303d81a3a7ed8c502e022f6b8c2407a18ecbf733501426 | 2026-01-21T00:00:00-05:00 | Zero-free regions and concentration inequalities for hypergraph colorings in the local lemma regime | arXiv:2601.13796v1 Announce Type: new Abstract: We show that for $q$-colorings in $k$-uniform hypergraphs with maximum degree $\Delta$, if $k\ge 50$ and $q\ge 700\Delta^{\frac{5}{k-10}}$, there is a "Lee-Yang" zero-free strip around the interval $[0,1]$ of the partition function, which includes the special case of unif... | https://arxiv.org/abs/2601.13796 | Academic Papers | svg |
eb2ac31f383275cf580c6f81cd1c482e40ee5c05c90f43299293034fe45ac319 | 2026-01-21T00:00:00-05:00 | PREGEN: Uncovering Latent Thoughts in Composed Video Retrieval | arXiv:2601.13797v1 Announce Type: new Abstract: Composed Video Retrieval (CoVR) aims to retrieve a video based on a query video and a modifying text. Current CoVR methods fail to fully exploit modern Vision-Language Models (VLMs), either using outdated architectures or requiring computationally expensive fine-tuning an... | https://arxiv.org/abs/2601.13797 | Academic Papers | svg |
2390c4b39bcb0d80c33e9d70258c6fe687272ed417f0afec4d33140ac0d3ac6c | 2026-01-21T00:00:00-05:00 | Insight: Interpretable Semantic Hierarchies in Vision-Language Encoders | arXiv:2601.13798v1 Announce Type: new Abstract: Language-aligned vision foundation models perform strongly across diverse downstream tasks. Yet, their learned representations remain opaque, making interpreting their decision-making hard. Recent works decompose these representations into human-interpretable concepts, bu... | https://arxiv.org/abs/2601.13798 | Academic Papers | svg |
b6ee7623912a9e972ffeb5ff540d62892d3f4cd5e58d4ca398a762851f7f2bf7 | 2026-01-21T00:00:00-05:00 | Linear viscoelastic rheological FrBD models | arXiv:2601.13799v1 Announce Type: new Abstract: In [1], a new modeling paradigm for developing rate-and-state-dependent, control-oriented friction models was introduced. The framework, termed Friction with Bristle Dynamics (FrBD), combines nonlinear analytical expressions for the friction coefficient with constitutive ... | https://arxiv.org/abs/2601.13799 | Academic Papers | svg |
c24dc96e62548bbed80196c6fe6f72eb9ce4c868a032fcf2d31f8853e3023c52 | 2026-01-21T00:00:00-05:00 | A Hybridizable Discontinuous Galerkin Method for the non--local Camassa--Holm--Kadomtsev--Petviashvili equation | arXiv:2601.13800v1 Announce Type: new Abstract: This paper develops a hybridizable discontinuous Galerkin method for the two-dimensional Camassa--Holm--Kadomtsev--Petviashvili equation. The method employs Cartesian meshes with tensor-product polynomial spaces, enabling separate treatment of \(x\) and \(y\) derivatives.... | https://arxiv.org/abs/2601.13800 | Academic Papers | svg |
16b5640029b095878aa8ae26811c6f6882498b519d9d828f5f573eda22a123b8 | 2026-01-21T00:00:00-05:00 | HoverAI: An Embodied Aerial Agent for Natural Human-Drone Interaction | arXiv:2601.13801v1 Announce Type: new Abstract: Drones operating in human-occupied spaces suffer from insufficient communication mechanisms that create uncertainty about their intentions. We present HoverAI, an embodied aerial agent that integrates drone mobility, infrastructure-independent visual projection, and real-... | https://arxiv.org/abs/2601.13801 | Academic Papers | svg |
a69ad870e818df5eeae81c11b86c9bbd75940abe4050cb463c5c5bbcbda0078f | 2026-01-21T00:00:00-05:00 | Habibi: Laying the Open-Source Foundation of Unified-Dialectal Arabic Speech Synthesis | arXiv:2601.13802v1 Announce Type: new Abstract: A notable gap persists in speech synthesis research and development for Arabic dialects, particularly from a unified modeling perspective. Despite its high practical value, the inherent linguistic complexity of Arabic dialects, further compounded by a lack of standardized... | https://arxiv.org/abs/2601.13802 | Academic Papers | svg |
a3019cace0464ed34a02ca52d333473e57e9690bcf6e2d022df2bd07ba014ec9 | 2026-01-21T00:00:00-05:00 | The Non-Predictability of Mispredicted Branches using Timing Information | arXiv:2601.13804v1 Announce Type: new Abstract: Branch misprediction latency is one of the most important contributors to performance degradation and wasted energy consumption in a modern core. State-of-the-art predictors generally perform very well but occasionally suffer from high Misprediction Per Kilo Instruction d... | https://arxiv.org/abs/2601.13804 | Academic Papers | svg |
cc8e9941776161b1e944ff29d7690c25b83de30ed8d389b71aa9ed27e42ab0ec | 2026-01-21T00:00:00-05:00 | Knowledge Graph-Assisted LLM Post-Training for Enhanced Legal Reasoning | arXiv:2601.13806v1 Announce Type: new Abstract: LLM post-training has primarily relied on large text corpora and human feedback, without capturing the structure of domain knowledge. This has caused models to struggle dealing with complex reasoning tasks, especially for high-stakes professional domains. In Law, reasonin... | https://arxiv.org/abs/2601.13806 | Academic Papers | svg |
1a8cc0431020d95fc16c045f3c11767b14e58e63f732f8f7af2ad39c2c904a8a | 2026-01-21T00:00:00-05:00 | DroneVLA: VLA based Aerial Manipulation | arXiv:2601.13809v1 Announce Type: new Abstract: As aerial platforms evolve from passive observers to active manipulators, the challenge shifts toward designing intuitive interfaces that allow non-expert users to command these systems naturally. This work introduces a novel concept of autonomous aerial manipulation syst... | https://arxiv.org/abs/2601.13809 | Academic Papers | svg |
4a4c56013b3f1532515cab763898b23377087d90594359c968bff87f713d800f | 2026-01-21T00:00:00-05:00 | Integrated Sensing and Communication for Low-Altitude Security | arXiv:2601.13810v1 Announce Type: new Abstract: The dense concentration of low-altitude, slow-speed, and small-size targets in the complex low-altitude environment poses significant security challenges, including failures in continuous wide-area sensing and ambiguous target intent, which existing regulatory frameworks ... | https://arxiv.org/abs/2601.13810 | Academic Papers | svg |
d0e868bf7ca355a49c962d630b09e8e5b0a6a5ed7e63f68b75162988e6739886 | 2026-01-21T00:00:00-05:00 | GuideTouch: An Obstacle Avoidance Device for Visually Impaired | arXiv:2601.13813v1 Announce Type: new Abstract: Safe navigation for the visually impaired individuals remains a critical challenge, especially concerning head-level obstacles, which traditional mobility aids often fail to detect. We introduce GuideTouch, a compact, affordable, standalone wearable device designed for au... | https://arxiv.org/abs/2601.13813 | Academic Papers | svg |
618daef204ea5495509a81124fb2c66ef2c85d92a800a263f8fa607511867309 | 2026-01-21T00:00:00-05:00 | From RTL to Prompt Coding: Empowering the Next Generation of Chip Designers through LLMs | arXiv:2601.13815v1 Announce Type: new Abstract: This paper presents an LLM-based learning platform for chip design education, aiming to make chip design accessible to beginners without overwhelming them with technical complexity. It represents the first educational platform that assists learners holistically across bot... | https://arxiv.org/abs/2601.13815 | Academic Papers | svg |
fa49ac52d55ec7e647b58a3b7f91c2dc807ef334760afa4dfc63ff9aef0e7b2c | 2026-01-21T00:00:00-05:00 | Discriminant Learning-based Colorspace for Blade Segmentation | arXiv:2601.13816v1 Announce Type: new Abstract: Suboptimal color representation often hinders accurate image segmentation, yet many modern algorithms neglect this critical preprocessing step. This work presents a novel multidimensional nonlinear discriminant analysis algorithm, Colorspace Discriminant Analysis (CSDA), ... | https://arxiv.org/abs/2601.13816 | Academic Papers | svg |
d53e6bececec002cad6fcfd4672463015f81c4722585a0e4f4d216c3a80ae363 | 2026-01-21T00:00:00-05:00 | Device Association and Resource Allocation for Hierarchical Split Federated Learning in Space-Air-Ground Integrated Network | arXiv:2601.13817v1 Announce Type: new Abstract: 6G facilitates deployment of Federated Learning (FL) in the Space-Air-Ground Integrated Network (SAGIN), yet FL confronts challenges such as resource constrained and unbalanced data distribution. To address these issues, this paper proposes a Hierarchical Split Federated ... | https://arxiv.org/abs/2601.13817 | Academic Papers | svg |
fb2a46aed0160ecdc4d20a8d68808a4b4e06d2b712712c98ea592ca60bfa6ed1 | 2026-01-21T00:00:00-05:00 | Efficient Parallel $(\Delta+1)$-Edge-Coloring | arXiv:2601.13822v1 Announce Type: new Abstract: We study the $(\Delta+1)$-edge-coloring problem in the parallel $\left(\mathrm{PRAM}\right)$ model of computation. The celebrated Vizing's theorem [Viz64] states that every simple graph $G = (V,E)$ can be properly $(\Delta+1)$-edge-colored. In a seminal paper, Karloff and... | https://arxiv.org/abs/2601.13822 | Academic Papers | svg |
59bc71415b11e151ee08acfadcbc849203eb346894f275a33b59eada95294550 | 2026-01-21T00:00:00-05:00 | Multi-Trace M\"uller Boundary Integral Equation for Electromagnetic Scattering by Composite Objects | arXiv:2601.13823v1 Announce Type: new Abstract: This paper introduces a boundary integral equation for time-harmonic electromagnetic scattering by composite dielectric objects. The formulation extends the classical M\"uller equation to composite structures through the global multi-trace method. The key ingredient enabl... | https://arxiv.org/abs/2601.13823 | Academic Papers | svg |
4b63cee18b5c66f798f31321808f5d4072ed3e38fea0bb70c57c9e507c8e6458 | 2026-01-21T00:00:00-05:00 | ELSA: Efficient LLM-Centric Split Aggregation for Privacy-Aware Hierarchical Federated Learning over Resource-Constrained Edge Networks | arXiv:2601.13824v1 Announce Type: new Abstract: Training large language models (LLMs) at the network edge faces fundamental challenges arising from device resource constraints, severe data heterogeneity, and heightened privacy risks. To address these, we propose ELSA (Efficient LLM-centric Split Aggregation), a novel f... | https://arxiv.org/abs/2601.13824 | Academic Papers | svg |
615a0f532c23a83bf8963816375e1fc186abf79ea5a30848fe634d6f7743c70c | 2026-01-21T00:00:00-05:00 | MirageNet:A Secure, Efficient, and Scalable On-Device Model Protection in Heterogeneous TEE and GPU System | arXiv:2601.13826v1 Announce Type: new Abstract: As edge devices gain stronger computing power, deploying high-performance DNN models on untrusted hardware has become a practical approach to cut inference latency and protect user data privacy. Given high model training costs and user experience requirements, balancing m... | https://arxiv.org/abs/2601.13826 | Academic Papers | svg |
919cb56c58de54b46c4856284432956a6d4700397bd7e533a9a37adbfc4a3ec2 | 2026-01-21T00:00:00-05:00 | Base Station Sleeping Strategy Based on Load Sharing in Ultra-Dense Networks | arXiv:2601.13832v1 Announce Type: new Abstract: To address the issues of high operational costs and low energy efficiency (EE) caused by the dense deployment of small base stations (s-BSs) in 5G ultra-dense networks (UDNs), this paper first constructs a multi-objective mathematical optimization model targeting maximizi... | https://arxiv.org/abs/2601.13832 | Academic Papers | svg |
ecdc6978a04b3109cd97ba579999371915dd16d2a8bba77fe369bb65ec6be784 | 2026-01-21T00:00:00-05:00 | The Role of Prosodic and Lexical Cues in Turn-Taking with Self-Supervised Speech Representations | arXiv:2601.13835v1 Announce Type: new Abstract: Fluid turn-taking remains a key challenge in human-robot interaction. Self-supervised speech representations (S3Rs) have driven many advances, but it remains unclear whether S3R-based turn-taking models rely on prosodic cues, lexical cues or both. We introduce a vocoder-b... | https://arxiv.org/abs/2601.13835 | Academic Papers | svg |
15e8b74bb680bb455626344c00027ba5de43a49115ee77d1b533f526b91f7a07 | 2026-01-21T00:00:00-05:00 | FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs | arXiv:2601.13836v1 Announce Type: new Abstract: Although Multimodal Large Language Models (MLLMs) demonstrate strong omni-modal perception, their ability to forecast future events from audio-visual cues remains largely unexplored, as existing benchmarks focus mainly on retrospective understanding. To bridge this gap, w... | https://arxiv.org/abs/2601.13836 | Academic Papers | svg |
55e6189de39597bda85e774f04c214df5787bed29fb21482443634380c3eefc6 | 2026-01-21T00:00:00-05:00 | FastGHA: Generalized Few-Shot 3D Gaussian Head Avatars with Real-Time Animation | arXiv:2601.13837v1 Announce Type: new Abstract: Despite recent progress in 3D Gaussian-based head avatar modeling, efficiently generating high fidelity avatars remains a challenge. Current methods typically rely on extensive multi-view capture setups or monocular videos with per-identity optimization during inference, ... | https://arxiv.org/abs/2601.13837 | Academic Papers | svg |
98d0d342c103f634854a3c93eb00e95f684d896b5de423c618a23d8bc913f6e0 | 2026-01-21T00:00:00-05:00 | A Predictive and Preventive Digital Twin Framework for Indoor Wireless Networks | arXiv:2601.13838v1 Announce Type: new Abstract: Wi-Fi networks increasingly suffer from performance degradation caused by contention-based channel access, dense deployments, and largely self-managed operation among mutually interfering access points (APs). In this paper, we propose a Digital Twin (DT) framework that ca... | https://arxiv.org/abs/2601.13838 | Academic Papers | svg |
b92e2d2c55815b849d81b828d1275ca2ddc8683f97a91fa09db68595cbc9914e | 2026-01-21T00:00:00-05:00 | DisasterVQA: A Visual Question Answering Benchmark Dataset for Disaster Scenes | arXiv:2601.13839v1 Announce Type: new Abstract: Social media imagery provides a low-latency source of situational information during natural and human-induced disasters, enabling rapid damage assessment and response. While Visual Question Answering (VQA) has shown strong performance in general-purpose domains, its suit... | https://arxiv.org/abs/2601.13839 | Academic Papers | svg |
411fc5c6143d2ff64e7f935e3a701d4834abd6704754ef638a694c1ddea1d4e1 | 2026-01-21T00:00:00-05:00 | Robust Reversible Watermarking in Encrypted Images Based on Dual-MSBs Spiral Embedding | arXiv:2601.13840v1 Announce Type: new Abstract: Robust reversible watermarking in encrypted images (RRWEI) faces an inherent challenge in simultaneously achieving robustness, reversibility, and content privacy under severely constrained embedding capacity. Existing RRWEI schemes often exhibit limited robustness against... | https://arxiv.org/abs/2601.13840 | Academic Papers | svg |
42c52fa6dc5a4b063a76f3e1947527822c5ea38fc4ed5a34a3c7b8d8f36df938 | 2026-01-21T00:00:00-05:00 | Nemesis, an Escape Game in Graphs | arXiv:2601.13841v1 Announce Type: new Abstract: We define a new escape game in graphs that we call Nemesis. The game is played on a graph having a subset of vertices labeled as exits and the goal of one of the two players, called the fugitive, is to reach one of these exit vertices. The second player, i.e. the fugitive... | https://arxiv.org/abs/2601.13841 | Academic Papers | svg |
410e68b25fbd846626b01d1b5b7ffc41e339b6eb75f191b85a07c0067a322710 | 2026-01-21T00:00:00-05:00 | Small Models, Big Impact: Tool-Augmented AI Agents for Wireless Network Planning | arXiv:2601.13843v1 Announce Type: new Abstract: Large Language Models (LLMs) such as ChatGPT promise revolutionary capabilities for Sixth-Generation (6G) wireless networks but their massive computational requirements and tendency to generate technically incorrect information create deployment barriers. In this work, we... | https://arxiv.org/abs/2601.13843 | Academic Papers | svg |
a7406be875b81795c594fd79a5aaf0d9727e23e9981d9a76f024f2bdf8df7c7c | 2026-01-21T00:00:00-05:00 | Optimal L2 Regularization in High-dimensional Continual Linear Regression | arXiv:2601.13844v1 Announce Type: new Abstract: We study generalization in an overparameterized continual linear regression setting, where a model is trained with L2 (isotropic) regularization across a sequence of tasks. We derive a closed-form expression for the expected generalization loss in the high-dimensional reg... | https://arxiv.org/abs/2601.13844 | Academic Papers | svg |
a0ef9e870f3004165d214832874dc3eaba5a668de3358e2876729cdc96c91145 | 2026-01-21T00:00:00-05:00 | Virtual Urbanism: An AI-Driven Framework for Quantifying Urban Identity. A Tokyo-Based Pilot Study Using Diffusion-Generated Synthetic Environments | arXiv:2601.13846v1 Announce Type: new Abstract: This paper introduces Virtual Urbanism (VU), a multimodal AI-driven analytical framework for quantifying urban identity through the medium of synthetic urban replicas. The framework aims to advance computationally tractable urban identity metrics. To demonstrate feasibili... | https://arxiv.org/abs/2601.13846 | Academic Papers | svg |
85f90c74dd6f9e1ae8667310dc88b6fd5920688c9482c1f3f3f3df6b2be908e7 | 2026-01-21T00:00:00-05:00 | Emotion and Acoustics Should Agree: Cross-Level Inconsistency Analysis for Audio Deepfake Detection | arXiv:2601.13847v1 Announce Type: new Abstract: Audio Deepfake Detection (ADD) aims to detect spoof speech from bonafide speech. Most prior studies assume that stronger correlations within or across acoustic and emotional features imply authenticity, and thus focus on enhancing or measuring such correlations. However, ... | https://arxiv.org/abs/2601.13847 | Academic Papers | svg |
d93ef59619cb00c9724517a39952809c840ce99932cb74a69dbc412253d5b0d2 | 2026-01-21T00:00:00-05:00 | Inverting Self-Organizing Maps: A Unified Activation-Based Framework | arXiv:2601.13851v1 Announce Type: new Abstract: Self-Organizing Maps provide topology-preserving projections of high-dimensional data and have been widely used for visualization, clustering, and vector quantization. In this work, we show that the activation pattern of a SOM - the squared distances to its prototypes - c... | https://arxiv.org/abs/2601.13851 | Academic Papers | svg |
49fbe7bf112102e3cdb4e2c3d39f9ca3864f39a05a4fb81ffc80cd49fc04f8f8 | 2026-01-21T00:00:00-05:00 | Probabilistic Deep Discriminant Analysis for Wind Blade Segmentation | arXiv:2601.13852v1 Announce Type: new Abstract: Linear discriminant analysis improves class separability but struggles with non-linearly separable data. To overcome this, we introduce Deep Discriminant Analysis (DDA), which directly optimizes the Fisher criterion utilizing deep networks. To ensure stable training and a... | https://arxiv.org/abs/2601.13852 | Academic Papers | svg |
c4609f998d9f94d97204e7cd9d1dc45fa305b8577268442c7636799eb885e79d | 2026-01-21T00:00:00-05:00 | Question-Focused Filtering for Knowledge-based VQA | arXiv:2601.13856v1 Announce Type: new Abstract: Knowledge-based Visual Question Answering (KB-VQA) aims to answer questions by integrating images with external knowledge. Effective knowledge filtering is crucial for improving accuracy. Typical filtering methods use similarity metrics to locate relevant article sections... | https://arxiv.org/abs/2601.13856 | Academic Papers | svg |
c80faa5abcd240ec809f4a127633cfadbf336c6056e3c73ad0ad477829304641 | 2026-01-21T00:00:00-05:00 | Designing Drone Interfaces to Assist Pedestrians Crossing Non-Signalised Roads | arXiv:2601.13858v1 Announce Type: new Abstract: Recent research highlights the potential of drones to enhance pedestrian experiences, such as aiding navigation and supporting street-level activities. This paper explores the design of drone interfaces to assist pedestrians crossing dangerous roads without designated cro... | https://arxiv.org/abs/2601.13858 | Academic Papers | svg |
abf08b187c2f5ee6c06c0f0f6afddeebce212719cc67d6d5a6cb7cf494621de8 | 2026-01-21T00:00:00-05:00 | HardSecBench: Benchmarking the Security Awareness of LLMs for Hardware Code Generation | arXiv:2601.13864v1 Announce Type: new Abstract: Large language models (LLMs) are being increasingly integrated into practical hardware and firmware development pipelines for code generation. Existing studies have primarily focused on evaluating the functional correctness of LLM-generated code, yet paid limited attentio... | https://arxiv.org/abs/2601.13864 | Academic Papers | svg |
05ef0daa5db5c0ae9e10d67ccced0f23a93a668ac60c165c3e99e237544c55e5 | 2026-01-21T00:00:00-05:00 | Understanding Human-Multi-Agent Team Formation for Creative Work | arXiv:2601.13865v1 Announce Type: new Abstract: Team-based collaboration is a cornerstone of modern creative work. Recent advances in generative AI open possibilities for humans to collaborate with multiple AI agents in distinct roles to address complex creative workflows. Yet, how to form Human-Multi-Agent Teams (HMAT... | https://arxiv.org/abs/2601.13865 | Academic Papers | svg |
9b42d6b0dfb06cdcebfff3d88f5b1c4ef64bbeb401a7e4e39c6f9247cbd7a5aa | 2026-01-21T00:00:00-05:00 | OCCAM: Class-Agnostic, Training-Free, Prior-Free and Multi-Class Object Counting | arXiv:2601.13871v1 Announce Type: new Abstract: Class-Agnostic object Counting (CAC) involves counting instances of objects from arbitrary classes within an image. Due to its practical importance, CAC has received increasing attention in recent years. Most existing methods assume a single object class per image, rely o... | https://arxiv.org/abs/2601.13871 | Academic Papers | svg |
4956b617d8e01abfbe145e12eb4728cdd85301eff6d2a746fde762e1d216b358 | 2026-01-21T00:00:00-05:00 | Enhanced Cyber Threat Intelligence by Network Forensic Analysis for Ransomware as a Service(RaaS) Malwares | arXiv:2601.13873v1 Announce Type: new Abstract: In the current era of interconnected cyberspace, there is an adverse effect of ransomware on individuals, startups, and large companies. Cybercriminals hold digital assets till the demand for payment is made. The success of ransomware upsurged with the introduction of Ran... | https://arxiv.org/abs/2601.13873 | Academic Papers | svg |
4bf3395a515f47b65d133f03fff5e5f0b5054037e1e0569f5b992575b22c6910 | 2026-01-21T00:00:00-05:00 | Pedagogical Alignment for Vision-Language-Action Models: A Comprehensive Framework for Data, Architecture, and Evaluation in Education | arXiv:2601.13876v1 Announce Type: new Abstract: Science demonstrations are important for effective STEM education, yet teachers face challenges in conducting them safely and consistently across multiple occasions, where robotics can be helpful. However, current Vision-Language-Action (VLA) models require substantial co... | https://arxiv.org/abs/2601.13876 | Academic Papers | svg |
8263b8ccf23bbdbef2c99e5b472ebd52c13315b096cac7c46b4241fe836c944b | 2026-01-21T00:00:00-05:00 | Chain-of-Thought Compression Should Not Be Blind: V-Skip for Efficient Multimodal Reasoning via Dual-Path Anchoring | arXiv:2601.13879v1 Announce Type: new Abstract: While Chain-of-Thought (CoT) reasoning significantly enhances the performance of Multimodal Large Language Models (MLLMs), its autoregressive nature incurs prohibitive latency constraints. Current efforts to mitigate this via token compression often fail by blindly applyi... | https://arxiv.org/abs/2601.13879 | Academic Papers | svg |
724cb7350501d47c73fe51519b4d0e80177e2f40b53796c8168b869ce16bc65a | 2026-01-21T00:00:00-05:00 | LifeAgentBench: A Multi-dimensional Benchmark and Agent for Personal Health Assistants in Digital Health | arXiv:2601.13880v1 Announce Type: new Abstract: Personalized digital health support requires long-horizon, cross-dimensional reasoning over heterogeneous lifestyle signals, and recent advances in mobile sensing and large language models (LLMs) make such support increasingly feasible. However, the capabilities of curren... | https://arxiv.org/abs/2601.13880 | Academic Papers | svg |
9b50818b5a808362d0c2b4e7dbcc094f59e62b4dbe8cf55231203e65b94dedf1 | 2026-01-21T00:00:00-05:00 | OpenLearnLM Benchmark: A Unified Framework for Evaluating Knowledge, Skill, and Attitude in Educational Large Language Models | arXiv:2601.13882v1 Announce Type: new Abstract: Large Language Models are increasingly deployed as educational tools, yet existing benchmarks focus on narrow skills and lack grounding in learning sciences. We introduce OpenLearnLM Benchmark, a theory-grounded framework evaluating LLMs across three dimensions derived fr... | https://arxiv.org/abs/2601.13882 | Academic Papers | svg |
6e67ee50ba71d8e49334ae06844c9a7170616675c8ff5e427a319350380bd83e | 2026-01-21T00:00:00-05:00 | Constrained MARL for Coexisting TN-NTN Resource Allocation: Scalability and Flexibility | arXiv:2601.13883v1 Announce Type: new Abstract: This paper considers the joint TN-NTN constrained resource allocation, where terrestrial base stations and non-terrestrial base stations coexist in the spectrum. We focus on large-scale and practical scenarios characterized by large numbers of transmission channels and us... | https://arxiv.org/abs/2601.13883 | Academic Papers | svg |
e031b68bbc89b26000f18ca171b4ba799e5379e13d52dc7e41bd1d808f4bd885 | 2026-01-21T00:00:00-05:00 | Confident Rankings with Fewer Items: Adaptive LLM Evaluation with Continuous Scores | arXiv:2601.13885v1 Announce Type: new Abstract: Computerized Adaptive Testing (CAT) has proven effective for efficient LLM evaluation on multiple-choice benchmarks, but modern LLM evaluation increasingly relies on generation tasks where outputs are scored continuously rather than marked correct/incorrect. We present a ... | https://arxiv.org/abs/2601.13885 | Academic Papers | svg |
0c86274ccbe0f021ac15dde892e934d912602229d2fe2ba6ed80406cbc72cb3c | 2026-01-21T00:00:00-05:00 | Revisiting Multi-Task Visual Representation Learning | arXiv:2601.13886v1 Announce Type: new Abstract: Current visual representation learning remains bifurcated: vision-language models (e.g., CLIP) excel at global semantic alignment but lack spatial precision, while self-supervised methods (e.g., MAE, DINO) capture intricate local structures yet struggle with high-level se... | https://arxiv.org/abs/2601.13886 | Academic Papers | svg |
a5973ca456f2ee4ae4f46795069b3f4127d078ae8594c08eaad4d8d48fd2b93a | 2026-01-21T00:00:00-05:00 | Human Simulation Computation: A Human-Inspired Framework for Adaptive AI Systems | arXiv:2601.13887v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated strong capabilities in knowledge representation and reasoning based on textual data. However, their reliance on language material alone limits their ability to adapt, verify reasoning outcomes, and operate effectively in open... | https://arxiv.org/abs/2601.13887 | Academic Papers | svg |
ed30ae36330ab1a5056bd7c89493c45379c2d83084f449b0f6c4201c168da2ee | 2026-01-21T00:00:00-05:00 | Towards Inclusive External Human-Machine Interface: Exploring the Effects of Visual and Auditory eHMI for Deaf and Hard-of-Hearing People | arXiv:2601.13889v1 Announce Type: new Abstract: External Human-Machine Interfaces (eHMIs) have been proposed to facilitate communication between Automated Vehicles (AVs) and pedestrians. However, no attention was given to Deaf and Hard-of-Hearing (DHH) people. We conducted a formative study through focus groups with 6 ... | https://arxiv.org/abs/2601.13889 | Academic Papers | svg |
afe6b6e90780d15418cba661c6cf2af174c49b63578518da5239254501e8355f | 2026-01-21T00:00:00-05:00 | Multi-Objective Hierarchical Optimization with Large Language Models | arXiv:2601.13892v1 Announce Type: new Abstract: Despite their widespread adoption in various domains, especially due to their powerful reasoning capabilities, Large Language Models (LLMs) are not the off-the-shelf choice to drive multi-objective optimization yet. Conventional strategies rank high in benchmarks due to t... | https://arxiv.org/abs/2601.13892 | Academic Papers | svg |
e1b02cdbf392c63046ffb262a8c7e420cd5015429f3cf085430d6deed80ccf62 | 2026-01-21T00:00:00-05:00 | Multi-Location Software Model Completion | arXiv:2601.13894v1 Announce Type: new Abstract: In model-driven engineering and beyond, software models are key development artifacts. In practice, they often grow to substantial size and complexity, undergoing thousands of modifications over time due to evolution, refactoring, and maintenance. The rise of AI has spark... | https://arxiv.org/abs/2601.13894 | Academic Papers | svg |
0922ca3338715b28202bb748e28c3e143dde6c4e34e5c8f26dee7075f2c82b37 | 2026-01-21T00:00:00-05:00 | OmniOVCD: Streamlining Open-Vocabulary Change Detection with SAM 3 | arXiv:2601.13895v1 Announce Type: new Abstract: Change Detection (CD) is a fundamental task in remote sensing. It monitors the evolution of land cover over time. Based on this, Open-Vocabulary Change Detection (OVCD) introduces a new requirement. It aims to reduce the reliance on predefined categories. Existing trainin... | https://arxiv.org/abs/2601.13895 | Academic Papers | svg |
27f026ed40a74929e89ee716587ab6c50ebb445d4778fa897c0a8532d2bd991b | 2026-01-21T00:00:00-05:00 | TractRLFusion: A GPT-Based Multi-Critic Policy Fusion Framework for Fiber Tractography | arXiv:2601.13897v1 Announce Type: new Abstract: Tractography plays a pivotal role in the non-invasive reconstruction of white matter fiber pathways, providing vital information on brain connectivity and supporting precise neurosurgical planning. Although traditional methods relied mainly on classical deterministic and ... | https://arxiv.org/abs/2601.13897 | Academic Papers | svg |
a3c658283c04ac8a4ef624d0a8cae9018d0cacb76b85b628051d323aebe360fc | 2026-01-21T00:00:00-05:00 | Towards Visually Explaining Statistical Tests with Applications in Biomedical Imaging | arXiv:2601.13899v1 Announce Type: new Abstract: Deep neural two-sample tests have recently shown strong power for detecting distributional differences between groups, yet their black-box nature limits interpretability and practical adoption in biomedical analysis. Moreover, most existing post-hoc explainability methods... | https://arxiv.org/abs/2601.13899 | Academic Papers | svg |
6da70f9c45f8125e2278d3ee09ff346c598fdfe18bb0f38627d229ae4e0a985b | 2026-01-21T00:00:00-05:00 | Mathematical and computational perspectives on the Boolean and binary rank and their relation to the real rank | arXiv:2601.13900v1 Announce Type: new Abstract: This survey provides a comprehensive overview of the study of the binary and Boolean rank from both a mathematical and a computational perspective, with particular emphasis on their relationship to the real rank. We review the basic definitions of these rank functions and... | https://arxiv.org/abs/2601.13900 | Academic Papers | svg |
6e2706d95d9e787eac24b66d9293303a7c9dc4f86a78c657ffc4accec763eb2d | 2026-01-21T00:00:00-05:00 | Know Your Contract: Extending eIDAS Trust into Public Blockchains | arXiv:2601.13903v1 Announce Type: new Abstract: Public blockchains lack native mechanisms to attribute on-chain actions to legally accountable entities, creating a fundamental barrier to institutional adoption and regulatory compliance. This paper presents an architecture that extends the European Union eIDAS trust fra... | https://arxiv.org/abs/2601.13903 | Academic Papers | svg |
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