Ax Samy Jelassi, Mujin Kwun, Rosie Zhao, Yuanzhi Li, Nicolo Fusi, Yilun Du, Sham M. Kakade, Carles Domingo-Enrich 3/13/2026

Matching Features, Not Tokens: Energy-Based Fine-Tuning of Language Models

Feature-matching objective for LLM fine-tuning targeting sequence-level statistics without task-specific verifiers.

Ax Chandler Smith, Magnus Sesodia, Friedrich Lindenberg, Christian Schroeder de Witt 3/13/2026

OpenSanctions Pairs: Large-Scale Entity Matching with LLMs

Large-scale entity matching benchmark with 755K labeled pairs for multilingual compliance workflows benchmarked with LLMs.

Ax Amirhossein Bozorgkhoo, Igor Molybog 3/13/2026

Speculative Decoding Scaling Laws (SDSL): Throughput Optimization Made Simple

Analytical theory connecting LLM hyperparameters to speculative decoding throughput efficiency without training.

Ax Pooria Roy, Nourhan Jadallah. Tomer Lapid, Shahzaib Ahmad, Armita Afroushe, Mete Bayrak 3/13/2026

TinyNav: End-to-End TinyML for Real-Time Autonomous Navigation on Microcontrollers

End-to-end TinyML system for autonomous navigation on ESP32 microcontroller with quantized CNN.

Ax Yining Qian, Pengjie Wang, Yixiao Li, An-Yang Lu, Cheng Tan, Shuang Li, Lijun Liu 3/13/2026

Co-Diffusion: An Affinity-Aware Two-Stage Latent Diffusion Framework for Generalizable Drug-Target Affinity Prediction

Latent diffusion framework for drug-target affinity prediction with improved cold-start generalization.

Ax David Shih 3/13/2026

Learning to Unscramble: Simplifying Symbolic Expressions via Self-Supervised Oracle Trajectories

Self-supervised ML approach for symbolic simplification of mathematical expressions using oracle trajectories.

Ax Yuanda Xu, Hejian Sang, Zhengze Zhou, Ran He, Zhipeng Wang 3/13/2026

PACED: Distillation at the Frontier of Student Competence

PACED framework for efficient LLM distillation by focusing training on problems at frontier of student competence.

Ax Massimiliano Altieri, Ronan Hamon, Roberto Corizzo, Michelangelo Ceci, Ignacio Sanchez 3/13/2026

DNS-GT: A Graph-based Transformer Approach to Learn Embeddings of Domain Names from DNS Queries

Graph-based transformer approach for learning domain name embeddings from DNS queries for intrusion detection.

Ax Maximilian Wendlinger, Daniel Kowatsch, Konstantin B\"ottinger, Philip Sperl 3/13/2026

Security-by-Design for LLM-Based Code Generation: Leveraging Internal Representations for Concept-Driven Steering Mechanisms

Security-focused steering mechanisms for LLM-based code generation using internal representations to prevent vulnerable code.

Ax Linus Folkerts, Will Payne, Simon Inman, Philippos Giavridis, Joe Skinner, Sam Deverett, James Aung, Ekin Zorer, Michael Schmatz, Mahmoud Ghanem, John Wilkinson, Alan Steer, Vy Hong, Jessica Wang 3/13/2026

Measuring AI Agents' Progress on Multi-Step Cyber Attack Scenarios

Evaluation of frontier AI models' autonomous capabilities on multi-step cyber attack scenarios across 18-month period.

Ax Mingmeng Geng, Amr Mohamed, Guokan Shang, Michalis Vazirgiannis, Thierry Poibeau 3/13/2026

Markovian Generation Chains in Large Language Models

Analysis of how LLM outputs change through iterative reprocessing, examining convergence behavior in generation chains.

Ax Xiaoan Lang, Fang Liu 3/13/2026

A Unified Latent Space Disentanglement VAE Framework with Robust Disentanglement Effectiveness Evaluation

Framework for evaluating and disentangling latent representations in VAEs, with focus on tabular data interpretation.

Ax Andrea Rubbi, Andrea Giuseppe Di Francesco, Mohammad Lotfollahi, Pietro Li\`o 3/13/2026

A Standardized Framework For Evaluating Gene Expression Generative Models

Open-source Python framework for standardized evaluation of generative models for single-cell gene expression data with consistent metrics.

Ax Tong Li, Thiago de Queiroz Casanova, Eric M. Schwartz, Victor Kostyuk, Dehan Kong, Joseph J. Williams 3/13/2026

RIE-Greedy: Regularization-Induced Exploration for Contextual Bandits

Exploration strategy for contextual bandits with black-box reward models using regularization-induced exploration techniques.

Ax Barna Saha, Yinzhan Xu, Christopher Ye, Hantao Yu 3/13/2026

On the Computational Hardness of Transformers

Research on computational complexity of transformer architectures, analyzing attention mechanisms across layers and heads.

Ax Arun Vignesh Malarkkan, Manan Roy Choudhury, Guangwei Zhang, Vivek Gupta, Qingyun Wang, Yanjie Fu, Denghui Zhang 3/13/2026

FinRule-Bench: A Benchmark for Joint Reasoning over Financial Tables and Principles

Benchmark for LLM reasoning over financial tables against accounting principles with rule-based verification.

Ax Hillary Mutisya, John Mugane 3/13/2026

Continued Pretraining for Low-Resource Swahili ASR: Achieving State-of-the-Art Performance with Minimal Labeled Data

Continued pretraining approach for low-resource Swahili ASR achieving 3.24% WER with 20k labeled samples.

Ax Christopher Altman 3/13/2026

Detecting Intrinsic and Instrumental Self-Preservation in Autonomous Agents: The Unified Continuation-Interest Protocol

Protocol for detecting intrinsic vs instrumental self-preservation behavior in autonomous agents through behavioral testing.

Ax Kevin H. Guo, Chao Yan, Avinash Baidya, Katherine Brown, Xiang Gao, Juming Xiong, Zhijun Yin, Bradley A. Malin 3/13/2026

Stop Listening to Me! How Multi-turn Conversations Can Degrade Diagnostic Reasoning

Study evaluating 17 LLMs on multi-turn diagnostic reasoning, showing performance degradation in conversation vs static benchmarks.

Ax Christopher Agia 3/13/2026

Deployment-Time Reliability of Learned Robot Policies

Analysis of reliability in learned robot manipulation policies addressing distribution shift and compounding errors at deployment.

Ax Fatemeh Naeinian, Ali Hamza, Haoran Zhu, Anna Choromanska 3/13/2026

Zero-Shot Cross-City Generalization in End-to-End Autonomous Driving: Self-Supervised versus Supervised Representations

Comparison of self-supervised vs supervised representations for zero-shot cross-city autonomous driving generalization.

Ax Rambod Azimi, Yuri Grinberg, Dan-Xia Xu, Odile Liboiron-Ladouceur 3/13/2026

Gen-Fab: A Variation-Aware Generative Model for Predicting Fabrication Variations in Nanophotonic Devices

Generative model predicting fabrication variations in silicon photonic nanophotonic devices using conditional GANs.

Ax Mayank Saini Arit Kumar Bishwas 3/13/2026

One Supervisor, Many Modalities: Adaptive Tool Orchestration for Autonomous Queries

Agentic AI framework for multimodal query processing with dynamic tool orchestration across text, image, audio, video, and documents.

Ax Ammar Kheder, Helmi Toropainen, Wenqing Peng, Samuel Ant\~ao, Zhi-Song Liu, Michael Boy 3/13/2026

Cross-Resolution Attention Network for High-Resolution PM2.5 Prediction

Vision Transformer with cross-resolution attention for high-resolution continental-scale PM2.5 air quality prediction.

Ax David Baumgartner, Eliezer de Souza da Silva, I\~nigo Urteaga 3/13/2026

Anomaly detection in time-series via inductive biases in the latent space of conditional normalizing flows

Anomaly detection in multivariate time-series using conditional normalizing flows with latent space inductive biases.

Ax Stefan Maria Ailuro (INSAIT, Sofia University "St. Kliment Ohridski"), Mario Markov (INSAIT, Sofia University "St. Kliment Ohridski"), Mohammad Mahdi (INSAIT, Sofia University "St. Kliment Ohridski"), Delyan Boychev (INSAIT, Sofia University "St. Kliment Ohridski"), Luc Van Gool (INSAIT, Sofia University "St. Kliment Ohridski"), Danda Pani Paudel (INSAIT, Sofia University "St. Kliment Ohridski") 3/13/2026

OSM-based Domain Adaptation for Remote Sensing VLMs

Domain adaptation approach for vision-language models in remote sensing using OpenStreetMap data without large teacher models.

Ax Chantal Pellegrini, Adrian Delchev, Ege \"Ozsoy, Nassir Navab, Matthias Keicher 3/13/2026

Prototype-Based Knowledge Guidance for Fine-Grained Structured Radiology Reporting

Framework using prototype-based knowledge guidance and free-text reports to improve automated fine-grained structured radiology report generation.

Ax Yuliang Chen, Arvind Pillai, Yu Yvonne Wu, Tess Z. Griffin, Lisa Marsch, Michael V. Heinz, Nicholas C. Jacobson, Andrew Campbell 3/13/2026

Learning Transferable Sensor Models via Language-Informed Pretraining

Self-supervised learning approach for multivariate time-series sensor data using language-informed pretraining to capture semantic structure.

Ax Ilias Aarab 3/13/2026

BTZSC: A Benchmark for Zero-Shot Text Classification Across Cross-Encoders, Embedding Models, Rerankers and LLMs

Benchmark comparing zero-shot text classification across cross-encoders, embedding models, rerankers, and LLMs for matching texts to label descriptions.

Ax Ping Guo, Tiantian Zhang, Xi Lin, Xiang Li, Zhi-Ri Tang, Qingfu Zhang 3/13/2026

Few-for-Many Personalized Federated Learning

arXiv paper on personalized federated learning (PFL) using multi-objective optimization to train customized models across clients with heterogeneous data.

Ax Diego Cajaraville-Aboy, Ana Fern\'andez-Vilas, Rebeca P. D\'iaz-Redondo, Manuel Fern\'andez-Veiga, Pablo Picallo-L\'opez 3/13/2026

Decentralized Orchestration Architecture for Fluid Computing: A Secure Distributed AI Use Case

arXiv paper on decentralized orchestration architecture for distributed AI/IoT across heterogeneous resources spanning edge and cloud platforms.

Ax Hamed Hamzeh 3/13/2026

AGMARL-DKS: An Adaptive Graph-Enhanced Multi-Agent Reinforcement Learning for Dynamic Kubernetes Scheduling

arXiv paper on adaptive graph-enhanced multi-agent reinforcement learning (AGMARL-DKS) for intelligent Kubernetes scheduling balancing stability, utilization, and costs.

Ax Chiyuan He, Zihuan Qiu, Fanman Meng, Runtong Zhang, Linfeng Xu, Qingbo Wu, Hongliang Li 3/13/2026

Continual Learning with Vision-Language Models via Semantic-Geometry Preservation

arXiv paper on continual learning for vision-language models using semantic-geometry preservation to prevent catastrophic forgetting across tasks.

Ax Quanhao Li, Zhen Xing, Rui Wang, Haidong Cao, Qi Dai, Daoguo Dong, Zuxuan Wu 3/13/2026

FlashMotion: Few-Step Controllable Video Generation with Trajectory Guidance

FlashMotion enables few-step trajectory-controllable video generation using distillation techniques to reduce computational overhead of multi-step denoising.

Ax Abhinaba Basu, Pavan Chakraborty 3/13/2026

Proof-Carrying Materials: Falsifiable Safety Certificates for Machine-Learned Interatomic Potentials

Proof-Carrying Materials framework provides falsifiable safety certificates for machine-learned interatomic potentials in materials screening applications.

Ax Yushi Bai, Qian Dong, Ting Jiang, Xin Lv, Zhengxiao Du, Aohan Zeng, Jie Tang, Juanzi Li 3/13/2026

IndexCache: Accelerating Sparse Attention via Cross-Layer Index Reuse

IndexCache accelerates sparse attention in LLM agentic workflows by reusing cross-layer indices, improving inference speed and serving costs for long-context applications.

Ax Andy Li, Aiden Durrant, Milan Markovic, Georgios Leontidis 3/13/2026

HiAP: A Multi-Granular Stochastic Auto-Pruning Framework for Vision Transformers

HiAP proposes hierarchical auto-pruning for Vision Transformers reducing computational demands for edge deployment via multi-granular structured pruning.

Ax Javier Fumanal-Idocin, Mohammadreza Jamalifard, Javier Andreu-Perez 3/13/2026

Interpreting Contrastive Embeddings in Specific Domains with Fuzzy Rules

Method using fuzzy rules to interpret contrastive text embeddings in domain-specific applications like legal and medical records processing.

Ax Jiacheng Liu, Shengkun Tang, Jiacheng Cui, Dongkuan Xu, Zhiqiang Shen 3/13/2026

BiGain: Unified Token Compression for Joint Generation and Classification

BiGain presents token compression framework for diffusion models balancing generation quality and classification via frequency separation, training-free and plug-and-play.

Ax Yixin Liu, Yue Yu, DiJia Su, Sid Wang, Xuewei Wang, Song Jiang, Bo Liu, Arman Cohan, Yuandong Tian, Zhengxing Chen 3/13/2026

Examining Reasoning LLMs-as-Judges in Non-Verifiable LLM Post-Training

Study examining reasoning LLMs used as judges for evaluating non-verifiable domains in post-training, testing inference-time scaling benefits for policy training.

Ax Fangfu Liu, Diankun Wu, Jiawei Chi, Yimo Cai, Yi-Hsin Hung, Xumin Yu, Hao Li, Han Hu, Yongming Rao, Yueqi Duan 3/13/2026

Spatial-TTT: Streaming Visual-based Spatial Intelligence with Test-Time Training

Spatial-TTT proposes test-time training for streaming visual spatial understanding from video, addressing how spatial information is maintained over unbounded streams.

Ax Yoshitaka Inoue, Hunmin Lee, Tianfan Fu, Rui Kuang, Augustin Luna 3/13/2026

drGT: Attention-Guided Gene Assessment of Drug Response Utilizing a Drug-Cell-Gene Heterogeneous Network

Graph deep learning model for drug response prediction and biomarker identification using heterogeneous drug-cell-gene networks with attention.

Ax Eliot Tron, Rita Fioresi 3/13/2026

Geometry of Singular Foliations and Learning Manifolds in ReLU Networks via the Data Information Matrix

Geometric analysis of ReLU networks using Data Information Matrix to understand data manifold structure and singular foliations.

Ax Cornelius V. Braun, Robert T. Lange, Marc Toussaint 3/13/2026

Stein Variational Evolution Strategies

Gradient-free variant of Stein Variational Gradient Descent combining evolution strategies for sampling from unnormalized distributions.

Ax Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar 3/13/2026

Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner

Orthogonal learner for quantifying aleatoric uncertainty in treatment effect estimation from observational medical data.

Ax Amine M. Aboussalah, Xuanze Li, Cheng Chi, Raj Patel 3/13/2026

Finance-Informed Neural Network: Learning the Geometry of Option Pricing

Finance-informed neural network for option pricing and hedging using self-supervised replication objective based on dynamic hedging theory.

Ax Cheng He, Xu Huang, Gangwei Jiang, Zhaoyi Li, Defu Lian, Hong Xie, Enhong Chen, Xijie Liang, Zengrong Zheng, Patrick P. C. Lee 3/13/2026

GTM: A General Time-series Model for Enhanced Representation Learning of Time-Series Data

General Time-series Model with frequency-domain attention for enhanced representation learning on diverse time-series downstream tasks.

Ax Yiming Huang, Tolga Birdal 3/13/2026

HOG-Diff: Higher-Order Guided Diffusion for Graph Generation

Higher-order guided diffusion model for graph generation that captures non-Euclidean topology using higher-order graph structures.

Ax Olga Zaghen, Floor Eijkelboom, Alison Pouplin, Cong Liu, Max Welling, Jan-Willem van de Meent, Erik J. Bekkers 3/13/2026

Riemannian Variational Flow Matching for Material and Protein Design

Riemannian Gaussian Variational Flow Matching for generative modeling on manifolds applied to material and protein design.

Ax Ziqiao Weng, Weidong Cai, Bo Zhou 3/13/2026

FedSKD: Aggregation-free Model-heterogeneous Federated Learning via Multi-dimensional Similarity Knowledge Distillation for Medical Image Classification

Aggregation-free federated learning method for medical image classification using multi-dimensional similarity knowledge distillation across heterogeneous client models.