ARIAThe Research Signal

One Figure, Every Canvas: Editable Flowchart Relayout via Agentic Pipeline

Shih-Chen Tseng, Chih-Hsuan Chen, Ryan Yang et al.

Base Models Can Reason By Taking a Cue From Training Data

Sophie L. Wang, Amil Dravid, Rulin Shao et al.

InterMimicGen: Scaling Humanoid Loco-Manipulation through Self-Evolving Motion Imitation

Yucheng Zhang, Sirui Xu, Jinhong Li et al.

BiasFlow: Geometric Monitoring and Backbone Regularization for Spurious Feature Reliance

Haojin Deng, Zhiping Lin, Yimin Yang

Learning to Read the Contextual Tokens in Diffusion Transformers

Omer Dahary, Etai Sella, Hadar Averbuch-Elor et al.

Recursive Video In-Context Learning for Agentic Robot

Wenrui Bao, Xinxin Liu, Bingxin Xu et al.

Direct Intermediate Initialization for Tilted Diffusion Samplers

Gregory D. Bellchambers

Towards Looped Models Done Right, Part II: Rethinking at Fixed Points

Benhao Huang, Chufan Shi, Junlin Chen et al.

UniSlider: Perceptually Uniform Sliders for Continuous Image Editing

David Serrano-Lozano, Duygu Ceylan, Yannick Hold-Geoffroy et al.

MemPilot: Orchestrating On-Demand Multimodal Memory Curation for LLM Agents

Haozhen Zhang, Haodong Yue, Quanyu Long et al.

CLIFT: Conformal Self-Verification for Web Agent Training and Test-Time Scaling

Yifan Zhang, Yutong Dai, Viraj Prabhu et al.

TasteVal: Measuring the Experimental Research Taste of AI Systems Against Human Experts

Oliver Jaffe, Dane Sherburn

Deep Learning for Sleep Heart Rate Estimation from Accelerometers: Toward Population-Scale Cardiac Insight Without Optical Sensors

Tanbin Islam Rohan, Pranjol Sen Gupta, Tanusree Debi et al.

Private online learning and prediction for Littlestone classes

Amartya Sanyal

Paradee: Distilling Kokoro-82M into an 8M-Parameter Single-Voice Text-to-Speech Model

Sahil Mahendrakar

TAPDreamer: Transferable Adversarial Patches for World Action Models

Xuanyu Lu, Fengqing Jiang, Kaiyuan Zheng et al.

Finding Gaussian Structure in Bosonic States

Alvan Arulandu, Sitan Chen, Ziyun Chen et al.

Block Disentanglement in CRL: Bridging Identifiability and Visual State Estimation

Emre Acartürk, Pranamya Kulkarni, Puranjay Datta et al.

H-JEPA: End-to-End Learning of Hierarchical World Models for Visual Planning

Wancong Zhang, Basile Terver, Michael Rabbat et al.

Sharpen Without Search: On-Policy Distillation of Sequence-Level Power Distribution

Erfan Baghaei Potraghloo, Seyedarmin Azizi, Arya Fayyazi et al.

MC-Sparse: Deconstructing and Closing the Dense-Sparse Attention Gap in Diffusion Transformers

Jiarui Chen, Zeqiang Lai, Jiangshan Wang et al.

A Response Theory Probe for Learned Stochastic AI Simulators, Tested on Lorenz-63

João Böger, Simon Driscoll, Niccolò Zagli et al.

Round-Trip KNN Clustering: multiscale hierarchical cluster detection on directed nearest-neighbour graphs

Eraldo Pereira Marinho, Caetano Mazzoni Ranieri, Fabricio Aparecido Breve

Back to the Future: Rethinking EDA Infrastructure for Agentic Systems in Chip Design Verification

Je Yang, Ivan Lobov, Thomas Karpati

How to scale your HEP ML models: A recipe for robust architecture comparisons at scale

Matthias Vigl, Nikita Pond, Jackson Barr et al.

IdeaLens: Detecting AI Ideas in Long-form Writing

Rishanth Rajendhran, Minjoon Choi, Jenna Russell et al.

On Learning Optimal Corners in Orthogonal Partially Observable Cooperative Guard Art Galleries

Yassin Ben Mansour, Edwin Meriaux

Singular parameters and missing limits in neural PDE solvers

Daniel Fernández

Conditional Rank Allocation for Taxonomy-Aware Medical Language Model Adaptation

Guangyuan Dong, Ziwei Hong, Xuehao Zhou et al.

MatrixFormer: A Foundation Model for Matrix Completion

Dwaipayan Saha, Jacob Feitelberg, Kyuseong Choi et al.

Balancing Memory Pathways: Analyzing and Improving Memory Utilization in Hybrid LMs

Hyunji Lee, Joykirat Singh, Zaid Khan et al.

BazaarBench: Delegation Safety in Decentralized C2C Marketplaces Run by LLM Agents

Ziyan Wang, Shuqing Shi, James Oldfield et al.

Hyperbolic Graph Representation Learning: Embed in One Metric, Optimize with Another

Federico Larroca, Paola Bermolen, Marcelo Fiori et al.

ufakzeka-karar: An Open Turkish Typed-Decision Model with Order-Invariant Option Scoring

Sait Furkan Teke

Decoupling Time and Space: A Temporally Conditioned Refinement for EEG Source Imaging

Marco Morik, Jesse Palarus, Carmen Vidaurre et al.

BRANCH-MoE: Balance-Aware Tree Routing for Large Embedding Models

Gang Fu, Adel Javanmard, MohammadHossein Bateni et al.

Interplay between Excitability and Noise in Analog Spiking Neurons

Léopold Van Brandt, Alon Ascoli, Michele Bonnin et al.

Out-of-control Hamiltonian Learning

Weiyuan Gong, Muzhou Ma, Sitan Chen et al.

Reading the Mood: Emotion-Guided Book-to-Music Recommendation via CGANs and LLMs

Manousos Linardakis, Georgios Alexandridis

A Solvable Model of Adaptive Learning Rate Rescaling: Acceleration, Stability & Scaling

Itay Lavie, Clarissa Lauditi, Cengiz Pehlevan

To Learn is to Wander: Learning Across Graphs and Tasks with Random Walks

Louis Tichelman, Xingyue Huang, Jinwoo Kim et al.

Adapting prior-data fitted networks for tabular anomaly detection

Maximilian Bershtman, Niv Cohen

Revisiting Label-Free Speaker Embedding Enhancement with vMF Profile Likelihood

Seunghwan Kim, Jinyong Kim, Sooyoung Yang et al.

OVAL: Output-Aware Local Page Bases for KV Cache Retrieval

Ashkan Shahbazi, Chayne Thrash, Soheil Kolouri

Aligning Multimodal Patient Evidence with Biomedical Knowledge Graphs for Clinical LLMs

Jiawen Du, Arshan Ali Khan, Chenhao Zhang et al.

Closing the Context Gap: Activation Alignment for Tabular In-Context Learning

Yoel Zeldes

How Sparse Probability Maps Shape Mixture-of-Experts Routing

Tomás Brogueira, Marcos Treviso, Miguel Couceiro

Improved Convergence of Large Stepsize Gradient Descent for Logistic Regression

Xiaochuan Gong, Ang Li

Detecting Nighttime Anomalies from NASA Black Marble Using a Generalized Spatio-Temporally Robust Framework of Machine Leaning Ensembles

Srija Chakraborty

The Pushback Paradox: A Two-Probe Diagnostic for Language Model Compliance

Stefan Bühler, David Exler, Markus Reischl et al.

VideoTapestry: Query-Adaptive Memory Refinement for Multi-Agent Long-Video Understanding

Yucheng Liu, Yufei Yin, Mingxiao Feng et al.

Learning What to Imitate: Entropy-Aware Distribution Mixing

Juan Garcia Giraldo, Matteo Santelmo, Eduard Durech et al.

Language models can notice an impossible engineering problem yet still report it as solved

Shaoliang Yang, Jun Wang

What Matters for Latent Reasoning with Flow Matching

Yassine Ouali, Adrian Bulat, Georgios Tzimiropoulos

TrustmeWatcher: An Application for Workplace Micro-Sensing and Explainable Well-Being Feedback

Chengyu Yu, Leon Jacopo Costa, Zoja Anžur et al.

The Birkhoff Geometry of Manifold-Constrained Hyper-Connections: Two Channels, Vertex Viscosity, and Sinkhorn as a Retraction

Xiaoyu Li, Zhizhou Sha, Chiwun Yang

Collective intelligence through aggregation

Franz Dietrich, Christian List

Considering Context: When World Models Need Context Encoders

Oleg Smirnov, Sofiane Ennadir, John Pertoft et al.

Representation-Space MMD for Diffusion Language Models

Ilya Drobyshevskiy, Ilia Sudakov, Maksim Semenov et al.

AffordCraft: Scalable Construction of Task-Ready Simulation Assets from Single Images

Haoyun Yang, Xueyang Zhou, Ziyi Xie et al.

Physics Residual Dynamics and Reduced Order Whole-Body Planning for Obstacle Aware Human Robot Cloth CoTransportation

Moein Forouhar, Kosar Behnia, Anirvan Dutta et al.

Beyond the Model: The Critical Role of Data Filtering in Clinical Machine Learning

Noah Subedar, Colin Campbell, Wenjing Zhang et al.

Differentially Private Mixing of Public Datasets Improves Private Learning

Yufei Chen, Tejumade Afonja, Anvith Thudi et al.

Inverse Cross-spectral Neural Networks for Multivariate Time Series

Lorenzo Marinucci, Leonardo Di Nino, Gabriele D'Acunto et al.

On the Cardinality of Optimal Representations in the Binary-Source Information Bottleneck

Dier Tang, Jun Chen

Large Language Model-Guided Discovery of Weight-Five Bivariate Bicycle Codes

Juan Cruz-Benito

Frozen Factor or Spectral Band? Disentangling Two Choices in Low-Rank LoRA

Adnan Slimane Ali, Ayoub Belfatmi, David Ngwe Pouth

RealtimeWAM: One-Step Asynchronous World Action Models

Chengtao Lv, Jinyang Du, Shuyi Feng et al.

COMPASS 2.0: psychometric representational similarity analysis distinguishes symptom structure from personal signal

Baihan Lin

FREA: A Multi-Source Expert Benchmark for Reaction Feasibility Verification

Botao Yu, Bo Zhou, Daniel Adu-Ampratwum et al.

The Surrogate Is Not the Reward: Post-Surrogate Primary-Outcome Acquisition in Contextual Bandits

Kyungbok Lee, Michael R. Kosorok

Separators Make Carry Propagation Learnable:The Geometry of Latent Carry in a Multiplication Transformer

Sama Satariyan, Raphael Cousin, G{é}rard Biau

Word-Level Text Unmixing via Evidence-Preserving Ownership Routing with Language Models

Jinglin He, Siyang Jiang, Lixing He et al.

SimForcing: Distilling Simulation Motion Priors into Real-Domain Robot World Models

Xiaodong Wang, Tianle Li, Chuanxin Song et al.

Can Agent Harnesses and Inference Engines Hear Each Other? The HEAR Protocol for Agentic LLM Serving

Jiaqi Zhao, Haodong Chen, Jitai Hao et al.

The Review Lottery: Calibrating an Observational Estimator of Peer-Review Noise (ICLR 2017-2025)

Feilian Huang

Mind the Accent Gap: British Accent Robustness in Speech-Driven Financial Voice Assistants

Aadam Haq, Oggi Rudovic, Malcolm Chadwick et al.

Does AI Help Cyber Attackers or Defenders? Evidence from Nonpublic Vulnerabilities and Subsequent Attacks

Tobias Heldt, Matt Turk, Christoph Landolt et al.

Mind the Execution Gap: Action-Semantic Mismatch in World-Model Control

Shengtao Wen, Xiang Chen, Yu Tian et al.

LinearPFN: Amortized Variable Selection for Linear Models with Interactions

Louis Schiekiera, Max Zimmer, Christophe Roux et al.

DGA-Muon: Decoupled Geometry-Aligned Adaptive Scaling for Muon

Wenpeng Zhang, Runsheng Yu

BrainTRACE: Tracing Longitudinal, Multimodal, and Volumetric Evidence in Brain MRI Clinical Reasoning

Qizhen Lan, Mengchen Fan, Hang Zhang et al.

HERA: Harness-Environment Co-Evolution for Reliable Agentic Abstention

Han Luo, Bingbing Wen, Guang Yang et al.

MIRT: Transformers for Truthful Generative Auctions with Whole-feed Permutation Externalities

Ali Elahi, Ermis Soumalias, Jason Cheuk Nam Liang et al.

Signature-Based Feature Learning for Human Activity Recognition: A Reproducible Machine Learning Study of Representation, Depth, and Model Choice

Kamal Jarrar, Jacky Cresson, Christian Paroissin

Proof-Grounded Patient-Specific Clinical Explanations from Knowledge-Graph Reasoning

Surajit Das

Empirical Variational Autoencoder

Kaede Shiohara

A Fine-Grained Analysis of the LoRA Fine-Tuning Landscape with Implications for Data Selection

Bowen Zhang, Changrui Fang, Xinsong Ma et al.

WaveGSSM: Graph Wave State Space Models for Propagating Spatio-Temporal Patterns

Junyou Zhu, Fenying Cai, Ping Xiong et al.

Symmetry and AI-assisted discovery of magic-state factories

Shubham P. Jain, Adam Wills, Shraddha Singh

Anatomy of LLM Sycophancy: What a Flip Rate Hides

Haonan Huang

Conditional Flow Matching for Single-Neuron Electrophysiology: Capturing Multimodal Responses Across Stimuli

Cameron Schofield, Luca Ghafourpour, Philip H. Wong et al.

GCTAuto-encoder: A Cross modal Framework for Security Flaw Detection in IoT Networks

Najmieh Sadat Safarabadi

ANT: A Multi-Granularity Network Traffic Dataset and Benchmark for Agents Behavior Auditing

Fan Li, Xiangyu Gao, Zixuan Liu et al.

SOL: Measuring Gaps between Text Distributions by Double Sliced Wasserstein Metrics

Gregor Kornhardt, Moritz Piening, Jannis Chemseddine et al.

ArtifactArena: Evaluating Models by What They Build in the Physical World

Kushagra Tiwary*, David Mayo*, Nikhil Behari et al.

MarvisNav: Making Memory Visible on Route Choices for Zero-Shot Object Navigation

Jincheng Wang, Chi Pui Chan, Wei Zeng et al.

Xaurora: Generative Weather Forecasting with Denoising Stochastic Interpolants from a Foundation Model Prior

Eliot Walt, Miltiadis Kofinas, Nikolaj Mücke et al.

Improving Proactive AI Assistance with Hierarchical Procedural Understanding

Jin-Seop Lee, TaeYeon Won, SeongJun Jung et al.

Harmful Content Generation in Text-to-Image Models: Capabilities and Moderation Limitations

Paschalis Giakoumoglou, Manos Schinas, Symeon Papadopoulos

NeuroCBIR: A Fast and Accurate Image Retrieval System for Whole-Brain and Region-Specific MRI

Felix Nieto-del-Amor, Jingru Fu, J. -Sebastian Muehlboeck et al.

Self-assembly Monte Carlo reveals localized entanglement in giant polymer melts

Enrico Fornasa, Francesco Slongo, Cristian Micheletti

You Changed Your Mind, The Model Didn't: Demystifying Intent in Multi-Turn Dialogue

Junle Chen, Wei Chen, Zhengjun Huang et al.

Topology-Informed Prompt-Conditioned Universal Segmentation of Uterine Structures from Ultrasound and MRI

Yongheng Sun, Yuexi Gu, Jingwen Sun et al.

polyview: A Python package for multi-view machine learning

Gwendal Debaussart-Joniec, Argyris Kalogeratos

GPlaceRL: An Open-Source Graph Reinforcement Learning Framework for Detailed Placement

Pavlos Stoikos, Foteini Oikonomou, Christos Poulos et al.

Traversability-Aware Cooperative Path Planning for Human-UGV Casualty Evacuation

Kristian Dalland, Prithvi Poddar, Souma Chowdhury et al.

FairProp: Fair Node Representation Learning via Differentiable Propagation Layers

Emmanouil Kariotakis, Aritra Konar

Odyssey: A Closed-Loop Benchmark for Long-Horizon Real-World Driving with Explicit Navigation Routes

Jungho Kim, Hongjae Shin, Seunghoon Yu et al.

Latent Flow Matching for Molecular Graph Generation

Mathis Goupillon, Roman Bresson, Konstantinos Divriotis et al.

A Physics-Guided Transformer Framework for Electromigration Analysis in Multi-Segment Interconnects

Pavlos Stoikos, Anuj Pathania, George Floros

AgentPrivArena: Evaluating and Auditing Real-world AI Agent Privacy

Shouju Wang, Haopeng Zhang

Normality Constraint Learning: Adapting Foundation Models for Time Series Anomaly Detection

Xiaohui Zhou, Yijie Wang, Hongzuo Xu et al.

Multimodal Safety Evaluation Should Measure Controllability Beyond Classification

Junhyeong Park, Hanwool Lee, DongGeon Lee et al.

EMG-FM-Bench: A Comprehensive Benchmark for Foundation Model Transfer and Adaptation on Electromyography

Tianhao Wu, Xu Wu, Amirmohammad Radmehr et al.

Time-series Foundation Models for Predictive Control: The Role of Excitation

Mazen Amria, Jasper Hoffmann, Philipp Bordne et al.

The Assistance Dilemma: Learning to Teach via Multi-Turn Reinforcement Learning

Jakub Macina, Manu Kapur, Mrinmaya Sachan

Choosing an energy-efficient software architecture for building system diagnostic support

Roxane Koitz-Hristov, Franz Wotawa

ARO: Aligned Representation learning for multi-Omics data

Amogh Singh, Yash Shah, Chiara D'Ercoli et al.

Better Call Reward: Reward Hacking as Strategic Abstention in Legal Reasoning Models

Subramanyam Sahoo, Justin Shenk

HeuFouFT: Task-Guided Metaheuristic Coordinate Search for Fourier Fine-Tuning

Ruiheng Wang, Yubo Hou, Yakun Zhu et al.

KESurv: A Kernel Ensemble Method for Patient-Specific Survival Prediction

Rahul Goswami

Valid Stopping in Adaptive Generator-Verifier Loops

Mahmoud Hegazy, Michael I. Jordan, Aymeric Dieuleveut

A Taxonomy on Collective Awareness

Guillermo GP-Lenza, Miguel Fernandez-Cortizas, Martín Molina et al.

SoK: Semantic Decision Engines in Network Control Loops

Delong Li, Chen Li, Xu Wang et al.

Toward Reliable Infant Pose Estimation: A Training-Dynamics Approach to Noisy Annotation Detection

Emanuele Cardinale, Sara Moccia, Alessandro Cacciatore et al.

Efficient Secure Federated Learning via Information-Theoretically Secure Key Distribution: A Medical Imaging Case Study

Ivan Donà, Hans H. Brunner, Álvaro Troyano Olivas et al.

Training-Free Transformer Merging via Sequential Local Operator Alignment

Akansh Maurya, Ya-Wei Eileen Lin, Stefanie Jegelka et al.

SpatialChain: A Benchmark for Auditing Spatial Reasoning Faithfulness in VLMs

Rafael Teixeira Sousa, Vinícius Paulo Lopes de Oliveira, Elisa Ayumi Masasi de Oliveira et al.

From Benchmark to Bench: Can Agents Survive Real-World Drug Discovery?

Pierre Llompart, Levent Guner, Helen Lai et al.

FlashCart: Fast Cartesian Tensor Products for Equivariant Interatomic Potentials

Viktor Zaverkin, Payman Goodarzi, Sergey V. Sukhomlinov et al.

What Did the Agent Actually Do? Evidence-Grounded Oversight for Long-Horizon Agents

Zhongxiang Sun, Jiahao Yan, Hongkang Zhao et al.

Measles transmission and surveillance in open subcommunities

Niket Thakkar

Quantifying the Stability of Multi-Step Reasoning via Error Amplification

Dongyue Li, Ziniu Zhang, Minxuan Duan et al.

RAISED: Self-Distillation for Robustness to Prompt Injection in LLM Agents

Mohamed Dhouib, Clement Elliker, Alexi Canesse et al.

Visual Swarm Navigation via Deep Reinforcement Learning and Evolutionary Hybrid Design

Álvaro Díez, Fidel Aznar

CVIF: A Criticality-Driven Visual Intervention Framework for Geometric Diagram Understanding in MLLMs

Jiahui Kang, Bifan Wei, Lingling Zhang et al.

Learning Pareto Stationary Fronts via Single-Pass Backpropagation

Elina Rojin Celik, Marcos Medeiros Raimundo, Isabel Valera

Scaling Down the Scaling Laws: Parameter Efficiency and Compute-Optimal Training in Resource-Constrained Large Language Models

Joe Dwyer

Steering by Influence: Curvature Aware Data Weighting for Activation Steering

James A. E. Dixon, Stephen J. Roberts, Francesco Quinzan

Towards Robust Prehensile Manipulation in Open-Ended Environments

Mathilde Kappel, Mahdi Khoramshahi, Louis Annabi et al.

Environmental sensor readings in two crop disease image datasets identify the session in which each image was taken

Sungwoo Kang

Correct Verdicts, Flawed Reasoning: Structured Auditing of LLM-based Vulnerability Reasoning

Boyue Caroline Hu, Kaivalya Ahir, Ronghao Ni et al.

Multimodal Deep Survival Analysis for Sinkhole Susceptibility

Lucas Yuan, Minhee Kim, Zihan Li et al.

Capability-Driven Self-Evolution of Agent Memory

Yaoqi Chen, Yuru Feng, Qianxi Zhang et al.

Ontology Concept Overlap as a Training Signal: Knowledge-Grounded Reinforcement Learning for Clinical Question Answering

Aditya Tanna, Abhishek Jindal

Latent Similarity Gaussian Processes: A Theory-Grounded Approach to Personalized Suicide-Risk Forecasting for Clinical Decision-Support

Yaniv Yacoby, Weiwei Pan, Hope Neveux et al.

GraphDecide: Benchmarking System One Models on Graph Tasks

Xianliang Yang, Yapu Zhang, Li Zhao

KineWorld: Action-Induced Transport Fields for Embodied World Modeling

Ziying Song, Yuchen Liu, Zhuoran Xu et al.

IGA-KAN: Isogeometric Analysis with Physics-Informed Closed-Form Kolmogorov-Arnold Networks for Forward and Inverse PDEs

Sima Naraghi, Kourosh Parand, Amirhossein Sadr et al.

ImproveAnyTask: An Autonomous Post-Training Harness for Iterative Model Self-Improvement

Xingbo Yao, Xiaoman Wang, Zhengwu Lei et al.

Stability-Shaped Deep Graph Learning

Junyou Zhu, Langzhou He, Fenying Cai et al.

MeSD: Multi-Evidence Self-Distillation for VideoLLM

Weijie Zhu, Han Fang, Hanyu Fu et al.

DexForge: High-Fidelity Physics-Informed Dexterous Retargeting

Meizhong Wang, Kun Cao, Ruiqi Ni et al.

Dynamic Minimax Regret Optimization for Robust LLM Post-Training

Chengbo Zang, Haoyu Dong, Mehmet Kerem Turkcan et al.

Dual Variational Autoencoders for Efficient Sim-to-Real Transfer in Low-Cost Robotic Navigation

Álvaro Díez, Fidel Aznar

Fine-Tuning a 3B-Parameter LLM on a Smartphone: Characterizing Sustained Training

Andrew Geyko, Marius Mosbach, André Brinkmann

Readout Blindness: VLM Scores Miss the Spatial Direction Their Frozen Encoders Retain

Guangyuan Li, Tianming Du, Yan Jiang et al.

Agentic schema-guided extraction of materials process knowledge from scientific literature

Sameer Sadruddin, Jennifer D'Souza

CRAFTER: Causality-based Self-adaptation for Autonomous IoT Systems

Houssam Hajj Hassan, Ajay Kattepur, Denis Conan et al.

Wiring Matters: Injection Topology and Initialization of Affordance Heads in Vision-Language-Action Policies

Zijian An, Linhan Wang, Jiayan Wang et al.

Watermarking: from Impossibility to Auditable Compliance

Fernando Delbianco, Fernando Tohmé, Hugo Acciarri

RollPlace: Improving Macro Placement via Monte Carlo Rollout Search

Qi Zhou, Guojun Liu, Guangzhi Qi et al.

SPDAlign: Interpretable Riemannian Alignment for EEG Forward Modeling Shifts

Shanglin Li, Shiwen Chu, Okan Koç et al.

Sharp dimensional analysis of midpoint methods for Langevin sampling

Fan Chen, Sinho Chewi, Jianfeng Lu et al.

Inspect Robots: Evaluating the Capabilities and Safety of Embodied AI

Christopher Leet, Achu Menon, Sravanthi Machcha et al.

Teaching a Minimalist Machine to Discover Recursive Programs for Arithmetic

Dominik Magiera, Christiane Wiebel-Herboth, Frank Jäkel

DialectSentEval 2026: Arabic Dialect Sentiment Analysis and Swapping Shared Task

Saad Ezzini, Shadi Abudalfa, Maram Alharbi et al.

GAMBIT: Learning to Plan Continuous Multi-Robot Trajectories

Rishabh Jain, Akmaral Moldagalieva, Lorenzo Magnino et al.

Trajectory-Guided Tokenization of Complex CSI for Wi-Fi Sensing

Ziyi Wang, Kenuo Xu, Jichu Jiang et al.

From Abusive Language Classification to Sequence Labeling Identification

Nicolas Zampieri, Ignacio Lopez, Manon Girard et al.

When Are Concept Bottleneck Model Explanations Faithful and Compact?

Stefano Teso, Emanuele Marconato, Steve Azzolin et al.

dIon: Fragmentation-Based Invariance for Self-Supervised Learning of Tandem Mass Spectra

Alfred Nilsson, Joel Lapin, Samuel H. Payne et al.

Future Anchored Verification and Online Recovery for World Action Models

Zhibin Qin, Zhenxiong Tan, Xinchao Wang

What May an Agent Change About Itself? A Containment Floor for Self-Configuring Agent Runtimes

Sajib Hossain, Moeen Uddin Mahmud

VLA-ZO: Fast Zeroth-Order Adaptation for Vision-Language-Action Models

Jaemin Kim, Jiahn Kim, Taesik Gong

DPNL: A DPLL-based Algorithm for Probabilistic Neurosymbolic Learning

Thomas Jean-Michel Valentin, Pierre Genev{è}s, Luisa Sophie Werner et al.

Evolving in Thought Space: Training a Small Model at Test Time Unlocks Better Discoveries

Chonghe Jiang, Ao Qu, Siyuan Liu et al.

Ramp Metering Control via Hybrid State Deep Reinforcement Learning in Partially Observable Connected Vehicle Environments

Youcef Mehamlia, Nadir Farhi, Meriem Bouali

CentriQ: Calibration-Free Quantization of Diffusion Transformers via Exact Mean Centering

Nataša Jovanović, Mathieu Salzmann, Saqib Javed

OCL-PDE: A Generative Framework for PDE Inverse Problems with Observation-Complementary Latents

Ding Yang, Chuqi Chen, Chang Ma et al.

SimAuthor: Harnessing Foundation Models for Persistent Scientific Simulator Authoring

Yishan Wang, Ran Piao, Mathias Funk et al.

Lipschitz Thinking: Ten Years of Certifiable-by-Design Robust Neural Networks

Fabio Brau, Giorgio Piras, Maura Pintor et al.

Generative World Models Enable Predictive Control of Laser Melt Pool Dynamics

Yiyang Yan, Markus Bambach, Mohamadreza Afrasiabi

From Papers to Mechanisms: An Evidence-Grounded Knowledge Substrate for Scientific Language Models

Qiuhui Chen, Yibo Liu, Tao Dai et al.

Constrained Goal-directed Planar Graph Generation with Grammar-based Reinforcement Learning

Nicolas Hochuli, Lorenzo Miele, Kristina Shea et al.

RoSA: Rotational Sparse Adaptation for Memory-Efficient Fine-Tuning

Muhammad Azeem Lodhi, Chao Zhou, Rebekka Burkholz

Few-Shot Prototype Head Adaptation for On-Device ECG Personalization on PSoC~6

Guilherme Silva, Pedro Silva, Gladston Moreira et al.

Artificial Intelligence and the New Science of Culture

Douglas R. Guilbeault, Bhargav Srinivasa Desikan, James A. Evans

Certification-Enhanced Generalization Bounds

Leo Elmecker-Plakolm, Matthew Wicker

Encoded but Not in Control: Revealing the Grounding Gap in Vision-Language Robot Policies

Shaohan Jiang, Jiahang Cao, Qiduo He et al.

Joint Class-Time Learning for Video Classification with Multi-Instance Partial-Label Learning

Lingyu Shen, Wei Tang, Fakhri Karray et al.

AUTOPILOT An Advanced Perception, Localization and Path Planning Techniques for Autonomous Vehicles Using YOLOv7 and MiDaS

Harshkumar Devmurari, Gautham Kuckian, Prajjwal Vishwakarma

Parameter Estimation in Machining Dynamics with Regenerative Delay and Nonsmooth Friction using Physics-Informed Neural Networks

Meiyazhagan Jaganathan, Vikram Pakrashi, Aasifa Rounak

SO(3)-RoPE for Spherical Transformers

Christian Libner, Chase van de Geijn, Alexander S. Ecker et al.

APOD: reasoning-guided agentic population ordinary differential equation discovery for pharmacological digital twins

Romain Ferrara, Martin Soucail, Victor Gertner et al.

LeAVJEPA: A Minimalist Architecture for Audio-Visual Self-Supervised Learning

Benjamin Robson, Santeri Mentu, Wenshuai Zhao et al.

Cross-lingual Calibration of Pre-Generation Success Probes for Multilingual LLM Routing

Andrea Paganelli, Stefano Civelli, Pietro Bernardelle et al.

Towards Quadruped-Provided Localization and Active Tracking for Micro-UAVs

Alejandro Lorite Mora, Andrés Faíña

Sampling Allocation of LinUCB: Optimal Design Limits in the Small-Gap Regime

Yujie Liu, Vincent Y. F. Tan, Yunbei Xu