ARIAThe Research Signal

Early Stopping for Large Reasoning Models via Confidence Dynamics

Parsa Hosseini, Sumit Nawathe, Mahdi Salmani et al.

Your Pre-trained Diffusion Model Secretly Knows Restoration

Sudarshan Rajagopalan, Vishal M. Patel

Stratifying Reinforcement Learning with Signal Temporal Logic

Justin Curry, Alberto Speranzon

PINNs in PDE Constrained Optimal Control Problems: Direct vs Indirect Methods

Zhen Zhang, Shanqing Liu, Alessandro Alla et al.

Vero: An Open RL Recipe for General Visual Reasoning

Gabriel Sarch, Linrong Cai, Qunzhong Wang et al.

Empowering Power Outage Prediction with Spatially Aware Hybrid Graph Neural Networks and Contrastive Learning

Xuyang Shen, Zijie Pan, Diego Cerrai et al.

Analyzing Symbolic Properties for DRL Agents in Systems and Networking

Mohammad Zangooei, Jannis Weil, Amr Rizk et al.

HI-MoE: Hierarchical Instance-Conditioned Mixture-of-Experts for Object Detection

Vadim Vashkelis, Natalia Trukhina

How AI Aggregation Affects Knowledge

Daron Acemoglu, Tianyi Lin, Asuman Ozdaglar et al.

Are Latent Reasoning Models Easily Interpretable?

Connor Dilgren, Sarah Wiegreffe

FileGram: Grounding Agent Personalization in File-System Behavioral Traces

Shuai Liu, Shulin Tian, Kairui Hu et al.

QED-Nano: Teaching a Tiny Model to Prove Hard Theorems

LM-Provers, Yuxiao Qu, Amrith Setlur et al.

Agentic Federated Learning: The Future of Distributed Training Orchestration

Rafael O. Jarczewski, Gabriel U. Talasso, Leandro Villas et al.

Rethinking Exploration in RLVR: From Entropy Regularization to Refinement via Bidirectional Entropy Modulation

Hengrui Gu, Xiaotian Han, Yujing Bian et al.

Data Attribution in Adaptive Learning

Amit Kiran Rege

Muon Dynamics as a Spectral Wasserstein Flow

Gabriel Peyré

Learning, Potential, and Retention: An Approach for Evaluating Adaptive AI-Enabled Medical Devices

Alexis Burgon, Berkman Sahiner, Nicholas A Petrick et al.

Incompleteness of AI Safety Verification via Kolmogorov Complexity

Munawar Hasan

DIRECT: Video Mashup Creation via Hierarchical Multi-Agent Planning and Intent-Guided Editing

Ke Li, Maoliang Li, Jialiang Chen et al.

Synthetic Sandbox for Training Machine Learning Engineering Agents

Yuhang Zhou, Lizhu Zhang, Yifan Wu et al.

Optimizing LLM Prompt Engineering with DSPy Based Declarative Learning

Shiek Ruksana, Sailesh Kiran Kurra, Thipparthi Sanjay Baradwaj

Noise Immunity in In-Context Tabular Learning: An Empirical Robustness Analysis of TabPFN's Attention Mechanisms

James Hu, Mahdi Ghelichi

Outlier-Robust Nonlinear Moving Horizon Estimation using Adaptive Loss Functions

Nestor Deniz, Guido Sanchez, Fernando Auat Cheein et al.

FairLogue: A Toolkit for Intersectional Fairness Analysis in Clinical Machine Learning Models

Nick Souligne, Vignesh Subbian

The Role of Generator Access in Autoregressive Post-Training

Amit Kiran Rege

MemMachine: A Ground-Truth-Preserving Memory System for Personalized AI Agents

Shu Wang, Edwin Yu, Oscar Love et al.

Strengthening Human-Centric Chain-of-Thought Reasoning Integrity in LLMs via a Structured Prompt Framework

Jiling Zhou, Aisvarya Adeseye, Seppo Virtanen et al.

InfBaGel: Human-Object-Scene Interaction Generation with Dynamic Perception and Iterative Refinement

Yude Zou, Junji Gong, Xing Gao et al.

E-VLA: Event-Augmented Vision-Language-Action Model for Dark and Blurred Scenes

Jiajun Zhai, Hao Shi, Shangwei Guo et al.

A Robust SINDy Autoencoder for Noisy Dynamical System Identification

Kairui Ding

Hybrid Fourier Neural Operator for Surrogate Modeling of Laser Processing with a Quantum-Circuit Mixer

Mateusz Papierz, Asel Sagingalieva, Alix Benoit et al.

Efficient Multi-Objective Planning with Weighted Maximization Using Large Neighbourhood Search

Krishna Kalavadia, Shamak Dutta, Yash Vardhan Pant et al.

Plausibility as Commonsense Reasoning: Humans Succeed, Large Language Models Do not

Sercan Karakaş

ANX: Protocol-First Design for AI Agent Interaction with a Supporting 3EX Decoupled Architecture

Xu Mingze

LiveFact: A Dynamic, Time-Aware Benchmark for LLM-Driven Fake News Detection

Cheng Xu, Changhong Jin, Yingjie Niu et al.

AnyUser: Translating Sketched User Intent into Domestic Robots

Songyuan Yang, Huibin Tan, Kailun Yang et al.

Selecting Decision-Relevant Concepts in Reinforcement Learning

Naveen Raman, Stephanie Milani, Fei Fang

SkillX: Automatically Constructing Skill Knowledge Bases for Agents

Chenxi Wang, Zhuoyun Yu, Xin Xie et al.

Partially deterministic sampling for compressed sensing with denoising guarantees

Yaniv Plan, Matthew S. Scott, Ozgur Yilmaz

Forgetting to Witness: Efficient Federated Unlearning and Its Visible Evaluation

Houzhe Wang, Xiaojie Zhu, Chi Chen

Multi-Modal Sensor Fusion using Hybrid Attention for Autonomous Driving

Mayank Mayank, Bharanidhar Duraisamy, Florian Geiß et al.

HUKUKBERT: Domain-Specific Language Model for Turkish Law

Mehmet Utku Öztürk, Tansu Türkoğlu, Buse Buz-Yalug

A Quantum Search Approach to Magic Square Constraint Problems with Classical Benchmarking

Rituparna R, Harsha Varthini, Aswani Kumar Cherukuri

Regime Mapping of Oscillatory States in Balanced Spiking Networks with Multiple Time Scales

Tsung-Han Kuo, Tzu-Chia Tung

Cog-DRIFT: Exploration on Adaptively Reformulated Instances Enables Learning from Hard Reasoning Problems

Justin Chih-Yao Chen, Archiki Prasad, Zaid Khan et al.

Your Agent, Their Asset: A Real-World Safety Analysis of OpenClaw

Zijun Wang, Haoqin Tu, Letian Zhang et al.

Undetectable Conversations Between AI Agents via Pseudorandom Noise-Resilient Key Exchange

Vinod Vaikuntanathan, Or Zamir

Darkness Visible: Reading the Exception Handler of a Language Model

Peter Balogh

AI Trust OS -- A Continuous Governance Framework for Autonomous AI Observability and Zero-Trust Compliance in Enterprise Environments

Eranga Bandara, Asanga Gunaratna, Ross Gore et al.

Hallucination Basins: A Dynamic Framework for Understanding and Controlling LLM Hallucinations

Kalyan Cherukuri, Lav R. Varshney

Artificial Intelligence and Cost Reduction in Public Higher Education: A Scoping Review of Emerging Evidence

Diamanto Tzanoulinou, Loukas Triantafyllopoulos, George Vorvilas et al.

Fine-Tuning Integrity for Modern Neural Networks: Structured Drift Proofs via Norm, Rank, and Sparsity Certificates

Zhenhang Shang, Kani Chen

Sampling Parallelism for Fast and Efficient Bayesian Learning

Asena Karolin Özdemir, Lars H. Heyen, Arvid Weyrauch et al.

Discovering Failure Modes in Vision-Language Models using RL

Kanishk Jain, Qian Yang, Shravan Nayak et al.

Metaphors We Compute By: A Computational Audit of Cultural Translation vs. Thinking in LLMs

Yuan Chang, Jiaming Qu, Zhu Li

Neuromorphic Computing for Low-Power Artificial Intelligence

Keshava Katti, Pratik Chaudhari, Deep Jariwala

A Muon-Accelerated Algorithm for Low Separation Rank Tensor Generalized Linear Models

Xiao Liang, Shuang Li

Individual and Combined Effects of English as a Second Language and Typos on LLM Performance

Serena Liu, Yutong Yang, Prisha Sheth et al.

AI Assistance Reduces Persistence and Hurts Independent Performance

Grace Liu, Brian Christian, Tsvetomira Dumbalska et al.

What Makes Good Multilingual Reasoning? Disentangling Reasoning Traces with Measurable Features

Dayeon Ki, Kevin Duh, Marine Carpuat

The Infinite-Dimensional Nature of Spectroscopy and Why Models Succeed, Fail, and Mislead

Umberto Michelucci, Francesca Venturini

BiST: A Gold Standard Bangla-English Bilingual Corpus for Sentence Structure and Tense Classification with Inter-Annotator Agreement

Abdullah Al Shafi, Swapnil Kundu Argha, M. A. Moyeen et al.

MUXQ: Mixed-to-Uniform Precision MatriX Quantization via Low-Rank Outlier Decomposition

Seoungsub Lee, In Seo Kim, Seon Wook Kim

Explainable Machine Learning for Sepsis Outcome Prediction Using a Novel Romanian Electronic Health Record Dataset

Andrei-Alexandru Bunea, Ovidiu Ghibea, Dan-Matei Popovici et al.

Is a Picture Worth a Thousand Words? Adaptive Multimodal Fact-Checking with Visual Evidence Necessity

Jaeyoon Jung, Yejun Yoon, Kunwoo Park

Pickalo: Leveraging 6D Pose Estimation for Low-Cost Industrial Bin Picking

Alessandro Tarsi, Matteo Mastrogiuseppe, Saverio Taliani et al.

On the "Causality" Step in Policy Gradient Derivations: A Pedagogical Reconciliation of Full Return and Reward-to-Go

Nima H. Siboni

Batch Loss Score for Dynamic Data Pruning

Qing Zhou, Bingxuan Zhao, Tao Yang et al.

Towards protein folding pathways by reconstructing protein residue networks with a policy-driven model

Susan Khor

Minimaxity and Admissibility of Bayesian Neural Networks

Daniel Andrew Coulson, Martin T. Wells

An AI Teaching Assistant for Motion Picture Engineering

Deirdre O'Regan, Anil C. Kokaram

ZeD-MAP: Bundle Adjustment Guided Zero-Shot Depth Maps for Real-Time Aerial Imaging

Selim Ahmet Iz, Francesco Nex, Norman Kerle et al.

ROSClaw: A Hierarchical Semantic-Physical Framework for Heterogeneous Multi-Agent Collaboration

Rongfeng Zhao, Xuanhao Zhang, Zhaochen Guo et al.

Anticipatory Reinforcement Learning: From Generative Path-Laws to Distributional Value Functions

Daniel Bloch

Springdrift: An Auditable Persistent Runtime for LLM Agents with Case-Based Memory, Normative Safety, and Ambient Self-Perception

Seamus Brady

Grokking as Dimensional Phase Transition in Neural Networks

Ping Wang

Search, Do not Guess: Teaching Small Language Models to Be Effective Search Agents

Yizhou Liu, Qi Sun, Yulin Chen et al.

From Curiosity to Caution: Mitigating Reward Hacking for Best-of-N with Pessimism

Zhuohao Yu, Zhiwei Steven Wu, Adam Block

Training-Free Refinement of Flow Matching with Divergence-based Sampling

Yeonwoo Cha, Jaehoon Yoo, Semin Kim et al.

WaterSplat-SLAM: Photorealistic Monocular SLAM in Underwater Environment

Kangxu Wang, Shaofeng Zou, Chenxing Jiang et al.

Same World, Differently Given: History-Dependent Perceptual Reorganization in Artificial Agents

Hongju Pae

Interpretation of Crystal Energy Landscapes with Kolmogorov-Arnold Networks

Gen Zu, Ning Mao, Claudia Felser et al.

Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale

Zhengcen Li, Chenyang Jiang, Hang Zhao et al.

Biologically Inspired Event-Based Perception and Sample-Efficient Learning for High-Speed Table Tennis Robots

Ziqi Wang, Jingyue Zhao, Xun Xiao et al.

A Clinical Point Cloud Paradigm for In-Hospital Mortality Prediction from Multi-Level Incomplete Multimodal EHRs

Bohao Li, Tao Zou, Junchen Ye et al.

Dynamic Free-Rider Detection in Federated Learning via Simulated Attack Patterns

Motoki Nakamura

AI Agents Under EU Law

Luca Nannini, Adam Leon Smith, Michele Joshua Maggini et al.

Cardinality Estimation for High Dimensional Similarity Queries with Adaptive Bucket Probing

Zhonghan Chen, Qintian Guo, Ruiyuan Zhang et al.

LP-GEMM: Integrating Layout Propagation into GEMM Operations

César Guedes Carneiro, Lucas Alvarenga, Guido Araujo et al.

Ruling Out to Rule In: Contrastive Hypothesis Retrieval for Medical Question Answering

Byeolhee Kim, Min-Kyung Kim, Young-Hak Kim et al.

Greedy and Transformer-Based Multi-Port Selection for Slow Fluid Antenna Multiple Access

Darian Perez-Adan, Jose P. Gonzalez-Coma, F. Javier Lopez-Martinez et al.

Noisy Nonreciprocal Pairwise Comparisons: Scale Variation, Noise Calibration, and Admissible Ranking Regions

Jean-Pierre Magnot

SAIL: Scene-aware Adaptive Iterative Learning for Long-Tail Trajectory Prediction in Autonomous Vehicles

Bin Rao, Haicheng Liao, Chengyue Wang et al.

Generative Modeling under Non-Monotonic MAR Missingness via Approximate Wasserstein Gradient Flows

Gitte Kremling, Jeffrey Näf, Johannes Lederer

PassiveQA: A Three-Action Framework for Epistemically Calibrated Question Answering via Supervised Finetuning

Madhav S Baidya

Visual Prompt Based Reasoning for Offroad Mapping using Multimodal LLMs

Abdelmoamen Nasser, Yousef Baba'a, Murad Mebrahtu et al.

Temporal Inversion for Learning Interval Change in Chest X-Rays

Hanbin Ko, Kyeongmin Jeon, Doowoong Choi et al.

Paper Espresso: From Paper Overload to Research Insight

Mingzhe Du, Luu Anh Tuan, Dong Huang et al.

Mapping the Exploitation Surface: A 10,000-Trial Taxonomy of What Makes LLM Agents Exploit Vulnerabilities

Charafeddine Mouzouni

Relational Epipolar Graphs for Robust Relative Camera Pose Estimation

Prateeth Rao, Sachit Rao

StableTTA: Training-Free Test-Time Adaptation that Improves Model Accuracy on ImageNet1K to 96%

Zheng Li, Jerry Cheng, Huanying Helen Gu

Safe and Near-Optimal Gate Control: A Case Study from the Danish West Coast

Martin Kristjansen, Kim Guldstrand Larsen, Marius Mikučionis et al.

Beyond Imbalance Ratio: Data Characteristics as Critical Moderators of Oversampling Method Selection

Yuwen Jiang, Songyun Ye

FlashSAC: Fast and Stable Off-Policy Reinforcement Learning for High-Dimensional Robot Control

Donghu Kim, Youngdo Lee, Minho Park et al.

Learning from Equivalence Queries, Revisited

Mark Braverman, Roi Livni, Yishay Mansour et al.

Multilingual Prompt Localization for Agent-as-a-Judge: Language and Backbone Sensitivity in Requirement-Level Evaluation

Alhasan Mahmood, Samir Abdaljalil, Hasan Kurban

SLSREC: Self-Supervised Contrastive Learning for Adaptive Fusion of Long- and Short-Term User Interests

Wei Zhou, Yue Shen, Junkai Ji et al.

Receding-Horizon Control via Drifting Models

Daniele Foffano, Alessio Russo, Alexandre Proutiere

ENCRUST: Encapsulated Substitution and Agentic Refinement on a Live Scaffold for Safe C-to-Rust Translation

Hohyun Sim, Hyeonjoong Cho, Ali Shokri et al.

G-EDF-Loc: 3D Continuous Gaussian Distance Field for Robust Gradient-Based 6DoF Localization

José E. Maese, Lucía Coto-Elena, Luis Merino et al.

Reproducibility study on how to find Spurious Correlations, Shortcut Learning, Clever Hans or Group-Distributional non-robustness and how to fix them

Ole Delzer, Sidney Bender

GAIN: Multiplicative Modulation for Domain Adaptation

Hengshuai Yao, Xing Chen, Ahmed Murtadha et al.

SuperLocalMemory V3.3: The Living Brain -- Biologically-Inspired Forgetting, Cognitive Quantization, and Multi-Channel Retrieval for Zero-LLM Agent Memory Systems

Varun Pratap Bhardwaj

MPTF-Net: Multi-view Pyramid Transformer Fusion Network for LiDAR-based Place Recognition

Shuyuan Li, Zihang Wang, Xieyuanli Chen et al.

DHFP-PE: Dual-Precision Hybrid Floating Point Processing Element for AI Acceleration

Shubham Kumar, Vijay Pratap Sharma, Vaibhav Neema et al.

Memory Intelligence Agent

Jingyang Qiao, Weicheng Meng, Yu Cheng et al.

Veo-Act: How Far Can Frontier Video Models Advance Generalizable Robot Manipulation?

Zhongru Zhang, Chenghan Yang, Qingzhou Lu et al.

One Model for All: Multi-Objective Controllable Language Models

Qiang He, Yucheng Yang, Tianyi Zhou et al.

SLaB: Sparse-Lowrank-Binary Decomposition for Efficient Large Language Models

Ziwei Li, Yuang Ma, Yi Kang

Isokinetic Flow Matching for Pathwise Straightening of Generative Flows

Tauhid Khan

RAVEN: Radar Adaptive Vision Encoders for Efficient Chirp-wise Object Detection and Segmentation

Anuvab Sen, Mir Sayeed Mohammad, Saibal Mukhopadhyay

A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models

Tianmeng Fang, Yong Wang, Zetai Kong et al.

ECG Biometrics with ArcFace-Inception: External Validation on MIMIC and HEEDB

Arjuna Scagnetto

Scalable and Explainable Learner-Video Interaction Prediction using Multimodal Large Language Models

Dominik Glandorf, Fares Fawzi, Tanja Käser

In-Place Test-Time Training

Guhao Feng, Shengjie Luo, Kai Hua et al.

Action Images: End-to-End Policy Learning via Multiview Video Generation

Haoyu Zhen, Zixian Gao, Qiao Sun et al.

Topological Characterization of Churn Flow and Unsupervised Correction to the Wu Flow-Regime Map in Small-Diameter Vertical Pipes

Brady Koenig, Sushovan Majhi, Atish Mitra et al.

HaloProbe: Bayesian Detection and Mitigation of Object Hallucinations in Vision-Language Models

Reihaneh Zohrabi, Hosein Hasani, Akshita Gupta et al.

DiffHDR: Re-Exposing LDR Videos with Video Diffusion Models

Zhengming Yu, Li Ma, Mingming He et al.

The Character Error Vector: Decomposable errors for page-level OCR evaluation

Jonathan Bourne, Mwiza Simbeye, Joseph Nockels

Target Policy Optimization

Jean Kaddour

MMEmb-R1: Reasoning-Enhanced Multimodal Embedding with Pair-Aware Selection and Adaptive Control

Yuchi Wang, Haiyang Yu, Weikang Bian et al.

Toward Consistent World Models with Multi-Token Prediction and Latent Semantic Enhancement

Qimin Zhong, Hao Liao, Haiming Qin et al.

Delta6: A Low-Cost, 6-DOF Force-Sensing Flexible End-Effector

Yue Feng, Weicheng Huang, Chen Qiu et al.

Who Governs the Machine? A Machine Identity Governance Taxonomy (MIGT) for AI Systems Operating Across Enterprise and Geopolitical Boundaries

Andrew Kurtz, Klaudia Krawiecka

Generating Synthetic Doctor-Patient Conversations for Long-form Audio Summarization

Yanis Labrak, David Grünert, Séverin Baroudi et al.

Shot-Based Quantum Encoding: A Data-Loading Paradigm for Quantum Neural Networks

Basil Kyriacou, Viktoria Patapovich, Maniraman Periyasamy et al.

Learning-Guided Force-Feedback Model Predictive Control with Obstacle Avoidance for Robotic Deburring

Krzysztof Wojciechowski, Ege Gursoy, Arthur Haffemayer et al.

Claw-Eval: Toward Trustworthy Evaluation of Autonomous Agents

Bowen Ye, Rang Li, Qibin Yang et al.

PoM: A Linear-Time Replacement for Attention with the Polynomial Mixer

David Picard, Nicolas Dufour, Lucas Degeorge et al.

Gym-Anything: Turn any Software into an Agent Environment

Pranjal Aggarwal, Graham Neubig, Sean Welleck

Lightweight Multimodal Adaptation of Vision Language Models for Species Recognition and Habitat Context Interpretation in Drone Thermal Imagery

Hao Chen, Fang Qiu, Fangchao Dong et al.

A Large-Scale Empirical Comparison of Meta-Learners and Causal Forests for Heterogeneous Treatment Effect Estimation in Marketing Uplift Modeling

Aman Singh

ACE-Bench: Agent Configurable Evaluation with Scalable Horizons and Controllable Difficulty under Lightweight Environments

Wang Yang, Chaoda Song, Xinpeng Li et al.

Learning $\mathsf{AC}^0$ Under Graphical Models

Gautam Chandrasekaran, Jason Gaitonde, Ankur Moitra et al.

Artificial Intelligence and the Structure of Mathematics

Maissam Barkeshli, Michael R. Douglas, Michael H. Freedman

LLM4CodeRE: Generative AI for Code Decompilation Analysis and Reverse Engineering

Hamed Jelodar, Samita Bai, Tochukwu Emmanuel Nwankwo et al.

Pixel-Translation-Equivariant Quantum Convolutional Neural Networks via Fourier Multiplexers

Dmitry Chirkov, Igor Lobanov

eVTOL Aircraft Energy Overhead Estimation under Conflict Resolution in High-Density Airspaces

Alex Zongo, Peng Wei

Social Dynamics as Critical Vulnerabilities that Undermine Objective Decision-Making in LLM Collectives

Changgeon Ko, Jisu Shin, Hoyun Song et al.

LAG-XAI: A Lie-Inspired Affine Geometric Framework for Interpretable Paraphrasing in Transformer Latent Spaces

Olexander Mazurets, Olexander Barmak, Leonid Bedratyuk et al.

A machine learning framework for uncovering stochastic nonlinear dynamics from noisy data

Matteo Bosso, Giovanni Franzese, Kushal Swamy et al.

Scientific Graphics Program Synthesis via Dual Self-Consistency Reinforcement Learning

Juekai Lin, Yun Zhu, Honglin Lin et al.

Graph-PiT: Enhancing Structural Coherence in Part-Based Image Synthesis via Graph Priors

Junbin Zhang, Meng Cao, Feng Tan et al.

Intuitive Human-Robot Interaction: Development and Evaluation of a Gesture-Based User Interface for Object Selection

Bijan Kavousian, Oliver Petrovic, Werner Herfs

Stories of Your Life as Others: A Round-Trip Evaluation of LLM-Generated Life Stories Conditioned on Rich Psychometric Profiles

Ben Wigler, Maria Tsfasman, Tiffany Matej Hrkalovic

Short Data, Long Context: Distilling Positional Knowledge in Transformers

Patrick Huber, Ernie Chang, Chinnadhurai Sankar et al.

HiPolicy: Hierarchical Multi-Frequency Action Chunking for Policy Learning

Jiyao Zhang, Zimu Han, Junhan Wang et al.

Staggered Integral Online Conformal Prediction for Safe Dynamics Adaptation with Multi-Step Coverage Guarantees

Daniel M. Cherenson, Dimitra Panagou

Value Mirror Descent for Reinforcement Learning

Zhichao Jia, Guanghui Lan

CoStream: Codec-Guided Resource-Efficient System for Video Streaming Analytics

Yulin Zou, Yan Chen, Wenyan Chen et al.

Ensemble-Based Dirichlet Modeling for Predictive Uncertainty and Selective Classification

Courtney Franzen, Farhad Pourkamali-Anaraki

A Multi-Stage Validation Framework for Trustworthy Large-scale Clinical Information Extraction using Large Language Models

Maria Mahbub, Gregory M. Dams, Josh Arnold et al.

A Co-Design Framework for High-Performance Jumping of a Five-Bar Monoped with Actuator Optimization

Aastha Mishra, Aman Singh, Shishir Kolathaya

CritBench: A Framework for Evaluating Cybersecurity Capabilities of Large Language Models in IEC 61850 Digital Substation Environments

Gustav Keppler, Moritz Gstür, Veit Hagenmeyer

Governance and Regulation of Artificial Intelligence in Developing Countries: A Case Study of Nigeria

Uloma Okoro, Tammy Mckenzie, Branislav Radeljic

How LLMs Follow Instructions: Skillful Coordination, Not a Universal Mechanism

Elisabetta Rocchetti, Alfio Ferrara

Gated-SwinRMT: Unifying Swin Windowed Attention with Retentive Manhattan Decay via Input-Dependent Gating

Dipan Maity, Suman Mondal, Arindam Roy

Epistemic Blinding: An Inference-Time Protocol for Auditing Prior Contamination in LLM-Assisted Analysis

Michael Cuccarese

A deep learning framework for jointly solving transient Fokker-Planck equations with arbitrary parameters and initial distributions

Xiaolong Wang, Jing Feng, Qi Liu et al.

Force Polytope-Based Cant-Angle Selection for Tilting Hexarotor UAVs

Alberto Piccina, Massimiliano Bertoni, Angelo Cenedese et al.

The Model Agreed, But Didn't Learn: Diagnosing Surface Compliance in Large Language Models

Xiaojie Gu, Ziying Huang, Weicong Hong et al.

Data Distribution Valuation Using Generalized Bayesian Inference

Cuong N. Nguyen, Cuong V. Nguyen

Flowr -- Scaling Up Retail Supply Chain Operations Through Agentic AI in Large Scale Supermarket Chains

Eranga Bandara, Ross Gore, Sachin Shetty et al.

Automating Manual Tasks through Intuitive Robot Programming and Cognitive Robotics

Bijan Kavousian, Petar Tesic, Oliver Petrovic et al.

A Formal Security Framework for MCP-Based AI Agents: Threat Taxonomy, Verification Models, and Defense Mechanisms

Nirajan Acharya, Gaurav Kumar Gupta

On Dominant Manifolds in Reservoir Computing Networks

Noa Kaplan, Alberto Padoan, Anastasia Bizyaeva

Beyond Compromise: Pareto-Lenient Consensus for Efficient Multi-Preference LLM Alignment

Renxuan Tan, Rongpeng Li, Zhifeng Zhao et al.

QiMeng-PRepair: Precise Code Repair via Edit-Aware Reward Optimization

Changxin Ke, Rui Zhang, Jiaming Guo et al.

A Mixture of Experts Foundation Model for Scanning Electron Microscopy Image Analysis

Sk Miraj Ahmed, Yuewei Lin, Chuntian Cao et al.

Multi-Modal Landslide Detection from Sentinel-1 SAR and Sentinel-2 Optical Imagery Using Multi-Encoder Vision Transformers and Ensemble Learning

Ioannis Nasios

Does Pass Rate Tell the Whole Story? Evaluating Design Constraint Compliance in LLM-based Issue Resolution

Kai Yu, Zhenhao Zhou, Junhao Zeng et al.

You're Pushing My Buttons: Instrumented Learning of Gentle Button Presses

Raman Talwar, Remko Proesmans, Thomas Lips et al.

Polynomial-Time Algorithm for Thiele Voting Rules with Voter Interval Preferences

Pasin Manurangsi, Krzysztof Sornat

Towards Trustworthy Report Generation: A Deep Research Agent with Progressive Confidence Estimation and Calibration

Yi Yuan, Xuhong Wang, Shanzhe Lei

MARL-GPT: Foundation Model for Multi-Agent Reinforcement Learning

Maria Nesterova, Mikhail Kolosov, Anton Andreychuk et al.

Context-Value-Action Architecture for Value-Driven Large Language Model Agents

TianZe Zhang, Sirui Sun, Yuhang Xie et al.

Saliency-Guided Representation with Consistency Policy Learning for Visual Unsupervised Reinforcement Learning

Jingbo Sun, Qichao Zhang, Songjun Tu et al.

"I See What You Did There": Can Large Vision-Language Models Understand Multimodal Puns?

Naen Xu, Jiayi Sheng, Changjiang Li et al.

ReLU Networks for Exact Generation of Similar Graphs

Mamoona Ghafoor, Tatsuya Akutsu

The UNDO Flip-Flop: A Controlled Probe for Reversible Semantic State Management in State Space Model

Hongxu Zhou

Selective Aggregation of Attention Maps Improves Diffusion-Based Visual Interpretation

Jungwon Park, Jungmin Ko, Dongnam Byun et al.

Transfer Learning for Neural Parameter Estimation applied to Building RC Models

Fabian Raisch, Timo Germann, J. Nathan Kutz et al.

Dialogue based Interactive Explanations for Safety Decisions in Human Robot Collaboration

Yifan Xu, Xiao Zhan, Akilu Yunusa Kaltungo et al.

A Tensor-Train Framework for Bayesian Inference in High-Dimensional Systems: Applications to MIMO Detection and Channel Decoding

Luca Schmid, Dominik Sulz, Shrinivas Chimmalgi et al.

HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model Inference

Bowen Zeng, Feiyang Ren, Jun Zhang et al.

Automatic dental superimposition of 3D intraorals and 2D photographs for human identification

Antonio D. Villegas-Yeguas, Xavier Abreau-Freire, Guillermo R-García et al.

Joint Knowledge Base Completion and Question Answering by Combining Large Language Models and Small Language Models

Yinan Liu, Dongying Lin, Sigang Luo et al.

Swiss-Bench 003: Evaluating LLM Reliability and Adversarial Security for Swiss Regulatory Contexts

Fatih Uenal

JTON: A Token-Efficient JSON Superset with Zen Grid Tabular Encoding for Large Language Models

Gowthamkumar Nandakishore

When Do We Need LLMs? A Diagnostic for Language-Driven Bandits

Uljad Berdica, Fernando Acero, Anton Ipsen et al.

Weight-Informed Self-Explaining Clustering for Mixed-Type Tabular Data

Lehao Li, Qiang Huang, Yihao Ang et al.

Neural Network Pruning via QUBO Optimization

Osama Orabi, Artur Zagitov, Hadi Salloum et al.

Deep Researcher Agent: An Autonomous Framework for 24/7 Deep Learning Experimentation with Zero-Cost Monitoring

Xiangyue Zhang

Evaluating Learner Representations for Differentiation Prior to Instructional Outcomes

Junsoo Park, Youssef Medhat, Htet Phyo Wai et al.

JD-BP: A Joint-Decision Generative Framework for Auto-Bidding and Pricing

Linghui Meng, Chun Gan, Shengsheng Niu et al.

Modeling Patient Care Trajectories with Transformer Hawkes Processes

Saumya Pandey, Varun Chandola

EEG-MFTNet: An Enhanced EEGNet Architecture with Multi-Scale Temporal Convolutions and Transformer Fusion for Cross-Session Motor Imagery Decoding

Panagiotis Andrikopoulos, Siamak Mehrkanoon

Expectation Maximization (EM) Converges for General Agnostic Mixtures

Avishek Ghosh

Vision-Guided Iterative Refinement for Frontend Code Generation

Hannah Sansford, Derek H. C. Law, Wei Liu et al.

Hidden in the Multiplicative Interaction: Uncovering Fragility in Multimodal Contrastive Learning

Tillmann Rheude, Stefan Hegselmann, Roland Eils et al.

BiCoord: A Bimanual Manipulation Benchmark towards Long-Horizon Spatial-Temporal Coordination

Xingyu Peng, Chen Gao, Liankai Jin et al.

"OK Aura, Be Fair With Me": Demographics-Agnostic Training for Bias Mitigation in Wake-up Word Detection

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QA-MoE: Towards a Continuous Reliability Spectrum with Quality-Aware Mixture of Experts for Robust Multimodal Sentiment Analysis

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Optimal-Transport-Guided Functional Flow Matching for Turbulent Field Generation in Hilbert Space

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PECKER: A Precisely Efficient Critical Knowledge Erasure Recipe For Machine Unlearning in Diffusion Models

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SignalClaw: LLM-Guided Evolutionary Synthesis of Interpretable Traffic Signal Control Skills

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