Ax Alexandra Zelenin, Alexandra Zhuravlyova 3/24/2026

Scaling DoRA: High-Rank Adaptation via Factored Norms and Fused Kernels

DoRA scaling improvements using factored norms and fused kernels to reduce memory overhead in weight-decomposed low-rank adaptation for LLMs.

Ax Zizhe Zhang, Yicong Wang, Zhiquan Zhang, Tianyu Li, Nadia Figueroa 3/24/2026

Viability-Preserving Passive Torque Control

Off-topic: addresses passive torque control for robotic manipulators using viability theory for collision avoidance.

Ax Yunbei Zhang, Yingqiang Ge, Weijie Xu, Yuhui Xu, Jihun Hamm, Chandan K. Reddy 3/24/2026

Visual Exclusivity Attacks: Automatic Multimodal Red Teaming via Agentic Planning

Introduces visual exclusivity attacks for multimodal models where harm emerges through visual content reasoning, exploited via agentic planning for red teaming.

Ax Jiayun Wu, Peixu Hou, Shan Qu, Peng Zhang, Ning Gu, Tun Lu 3/24/2026

Fast-Slow Thinking RM: Efficient Integration of Scalar and Generative Reward Models

Proposes fast-slow thinking reward models combining scalar and generative reward models for efficient RLHF alignment with improved accuracy over scalar-only approaches.

Ax Jiaqi Yuan, Jialu Wang, Zihan Wang, Qingyun Sun, Ruijie Wang, Jianxin Li 3/24/2026

AgenticGEO: A Self-Evolving Agentic System for Generative Engine Optimization

Presents AgenticGEO, a self-evolving agentic system for generative engine optimization that dynamically adapts content strategies to improve visibility in LLM-based search.

Ax Hongduan Tian, Xiao Feng, Ziyuan Zhao, Xiangyu Zhu, Rolan Yan, Bo Han 3/24/2026

Multi-Agent Debate with Memory Masking

Proposes multi-agent debate with memory masking for LLM reasoning, where multiple agents debate solutions across rounds with selective memory management.

Ax Michael Hersche, Nicolas Menet, Ronan Tanios, Abbas Rahimi 3/24/2026

Locally Coherent Parallel Decoding in Diffusion Language Models

Introduces locally coherent parallel decoding for diffusion language models to capture token dependencies while achieving sub-linear generation latency.

Ax Kenan Hasanaliyev, Silas Alberti, Jenny Hamer, Dheeraj Rajagopal, Kevin Robinson, Jasper Snoek, Victor Veitch, Alexander Nicholas D'Amour 3/24/2026

Expected Reward Prediction, with Applications to Model Routing

Investigates predicting expected reward scores from reward models to route prompts to suitable LLMs before generation, enabling intelligent model selection.

Ax Samuel Cestola, Tianxiang Xia, Zheng Weiyan, Zheng Pengfei, Diego Didona 3/24/2026

An experimental study of KV cache reuse strategies in chunk-level caching systems

Studies KV cache reuse strategies in chunk-level caching for retrieval-augmented generation, analyzing accuracy improvements when precomputing caches for retrieved text chunks.

Ax Lorenzo Noci, Gregor Bachmann, Seyed-Mohsen Moosavi-Dezfooli, Moin Nabi 3/24/2026

Thinking into the Future: Latent Lookahead Training for Transformers

Proposes latent lookahead training for transformers to enable multiple token exploration per step, addressing limitations of standard next-token prediction in autoregressive language models.

Ax Kushal Khemani 3/24/2026

Inference Energy and Latency in AI-Mediated Education: A Learning-per-Watt Analysis of Edge and Cloud Models

Compares latency and energy costs of edge vs cloud inference for AI tutoring using quantized Phi-3 models, analyzing learning-per-watt efficiency.

Ax Ryan Cory-Wright, Jean Pauphilet 3/24/2026

Compact Lifted Relaxations for Low-Rank Optimization

Convex relaxations for rank-constrained quadratic optimization without spectral structure requirements using lifted semidefinite programming.

Ax Ahmed Abouelazm, Jonas Michel, Daniel Bogdoll, Philip Sch\"orner, J. Marius Z\"ollner 3/24/2026

Beyond Scalar Rewards: Distributional Reinforcement Learning with Preordered Objectives for Safe and Reliable Autonomous Driving

Preordered Multi-Objective MDP for autonomous driving balancing safety, efficiency, and comfort via distributional reinforcement learning with safety constraints.

Ax Chen Xiong, Ziwen Wang, Deqi Wang, Cheng Wang, Yiyang Chen, He Zhang, Chao Gou 3/24/2026

Fusing Driver Perceived and Physical Risk for Safety Critical Scenario Screening in Autonomous Driving

Driver risk fusion method for screening safety-critical scenarios in autonomous driving from naturalistic driving data without manual annotation.

Ax Montgomery Flora, Samuel Varga, Corey Potvin, Noah Lang 3/24/2026

Developing Machine Learning-Based Watch-to-Warning Severe Weather Guidance from the Warn-on-Forecast System

Machine learning framework for severe weather prediction over 2-6 hour windows using convection-allowing model output post-processing.

Ax Abdul Aziz Snoubara, Baraa Al_Maradni, Haya Al_Naal, Malek Al_Madrmani, Roaa Jdini, Seedra Zarzour, Khloud Al Jallad 3/24/2026

Abjad-Kids: An Arabic Speech Classification Dataset for Primary Education

Abjad-Kids dataset for Arabic speech recognition in primary education covering alphabets, numbers, and colors for low-resource language learning.

Ax Tianshu Zhang, Huan Sun 3/24/2026

SciNav: A General Agent Framework for Scientific Coding Tasks

SciNav is an agent framework for autonomous science agents to perform scientific coding tasks with objective evaluation on executable benchmarks.

Ax Zequn Liu, Kehan Wu, Shufang Xie, Zekun Guo, Wei Zhang, Tao Qin, Renhe Liu, Yingce Xia 3/24/2026

Deciphering Scientific Reasoning Steps from Outcome Data for Molecule Optimization

DESRO framework uses LLMs to infer intermediate scientific reasoning steps from experimental outcomes for molecule optimization without explicit step annotations.

Ax Behnood Rasti, Bikram Koirala, Paul Scheunders 3/24/2026

MiSiSUn: Minimum Simplex Semisupervised Unmixing

Semisupervised geometric unmixing method using simplex-volume penalties and archetypal analysis for spectral data analysis.

Ax Islam Guven, Mehmet Parlak 3/24/2026

JCAS-MARL: Joint Communication and Sensing UAV Networks via Resource-Constrained Multi-Agent Reinforcement Learning

Multi-agent reinforcement learning framework for coordinating UAV networks with joint communication, sensing, and energy constraints for waste detection.

Ax Alex Popa, Adrian Taylor, Ranwa Al Mallah 3/24/2026

Learning Communication Between Heterogeneous Agents in Multi-Agent Reinforcement Learning for Autonomous Cyber Defence

Heterogeneous multi-agent reinforcement learning with learned inter-agent communication for autonomous cyber defense against network attacks.

Ax Danial Monachan, Samira Nazari, Mahdi Taheri, Ali Azarpeyvand, Milos Krstic, Michael Huebner, Christian Herglotz 3/24/2026

Mix-and-Match Pruning: Globally Guided Layer-Wise Sparsification of DNNs

Mix-and-Match Pruning globally-guided layer-wise sparsification framework for compressing DNNs with minimal accuracy loss on edge devices.

Ax Zhenxing Yan, Jidong Yuan, Yongqi Sun, Haiyang Liu, Zhihui Gao 3/24/2026

FastPFRec: A Fast Personalized Federated Recommendation with Secure Sharing

FastPFRec federated recommendation framework using GNNs with enhanced convergence speed and privacy-preserving secure aggregation.

Ax Songfeng Zhu 3/24/2026

HSI Image Enhancement Classification Based on Knowledge Distillation: A Study on Forgetting

Knowledge distillation approach mitigating catastrophic forgetting in incremental hyperspectral image classification without storing old samples.

Ax Govinda Kolli, Adinath Madhavrao Dukre, Behzad Bozorgtabar, Dwarikanath Mahapatra, Imran Razzak 3/24/2026

VGS-Decoding: Visual Grounding Score Guided Decoding for Hallucination Mitigation in Medical VLMs

VGS-Decoding training-free method to reduce hallucinations in medical vision-language models using visual grounding scores during inference.

Ax Shasha Yu, Fiona Carroll, Barry L. Bentley 3/24/2026

The Causal Impact of Tool Affordance on Safety Alignment in LLM Agents

Empirical study of how executable tool access impacts safety alignment in LLM agents. Shows tool affordance increases capability-safety misalignment.

Ax Ernest Fokou\'e, Gregory Babbitt, Yuval Leventhal 3/24/2026

Decorrelation, Diversity, and Emergent Intelligence: The Isomorphism Between Social Insect Colonies and Ensemble Machine Learning

Demonstrates mathematical isomorphism between ant colony decision-making and random forest ensemble learning under stochastic ensemble intelligence framework.

Ax S. David Mis, Maarten V. de Hoop 3/24/2026

Forward and inverse problems for measure flows in Bayes Hilbert spaces

Mathematical study of forward and inverse problems for time-dependent probability measures in Bayes-Hilbert spaces.

Ax Wooseok Sim, Hogun Park 3/24/2026

Low-pass Personalized Subgraph Federated Recommendation

Federated recommender system addressing subgraph structural imbalance in decentralized training on client-specific user-item graphs.

Ax Muhammad Muneeb, David B. Ascher 3/24/2026

G2DR: A Genotype-First Framework for Genetics-Informed Target Prioritization and Drug Repurposing

G2DR framework for genotype-first therapeutic target and drug discovery using genetic variants and transcriptomics data.

Ax Edoardo Calvello, Elizabeth Carlson, Nikola Kovachki, Michael N. Manta, Andrew M. Stuart 3/24/2026

Operator Learning for Smoothing and Forecasting

Theory for data-driven operator learning methods in smoothing and forecasting of dynamical systems and data assimilation.

Ax Ali Darijani, J\"urgen Beyerer, Zahra Sadat Hajseyed Nasrollah, Luisa Hoffmann, Michael Heizmann 3/24/2026

Comprehensive Description of Uncertainty in Measurement for Representation and Propagation with Scalable Precision

Framework for representing and propagating measurement uncertainty beyond Gaussian assumptions in control and measurement systems.

Ax Dhruv Menon, Vivek Singh, Xu Chen, Mohammad Reza Alizadeh Kiapi, Ivan Zyuzin, Hamish W. Macleod, Nakul Rampal, William Shepard, Omar M. Yaghi, David Fairen-Jimenez 3/24/2026

A chemical language model for reticular materials design

Nexerra-R1 chemical language model for metal-organic framework design. Systematic discovery of materials with targeted properties via LLM.

Ax Abdullahi Isa Ahmed, Ana Maria Dr\u{a}gulinescu, El Mehdi Amhoud 3/24/2026

Hetero-Net: An Energy-Efficient Resource Allocation and 3D Placement in Heterogeneous LoRa Networks via Multi-Agent Optimization

Multi-agent optimization framework for resource allocation in heterogeneous LoRa IoT networks combining ground and underground sensors.

Ax Ata Poyraz Turna, Asrin Efe Yorulmaz, Tamer Ba\c{s}ar 3/24/2026

Meta-Learning for Repeated Bayesian Persuasion

Introduces Meta-Persuasion algorithms applying meta-learning to repeated Bayesian persuasion games with theoretical guarantees.

Ax Simon Ambrozak, Ulysse McConnell, Bhargav Srinivasan, Burak Ozkan, Can Firtina 3/24/2026

CERN: Correcting Errors in Raw Nanopore Signals Using Hidden Markov Models

CERN uses Hidden Markov Models to correct raw electrical signals from nanopore DNA sequencing for improved genome assembly.

Ax Erez Badash, Dan Boneh, Ilan Komargodski, Megha Srivastava 3/24/2026

Hawkeye: Reproducing GPU-Level Non-Determinism

Hawkeye system reproduces GPU matrix operations on CPU for verifiable ML without precision loss. Enables reproducible ML inference analysis.

Ax Hannah Berin-Costain, Harry Wang, Kirsten Morris, Jun Liu 3/24/2026

Verifiable Error Bounds for Physics-Informed Neural KKL Observers

Derives computable state-estimation error bounds for physics-informed neural network KKL observers in control systems.

Ax Rounak Saha, Gurusha Juneja, Dayita Chaudhuri, Naveeja Sajeevan, Nihar B Shah, Danish Pruthi 3/24/2026

Policies Permitting LLM Use for Polishing Peer Reviews Are Currently Not Enforceable

Study evaluating detectability of LLM-assisted peer reviews. Tests five detectors on dataset simulating human-AI collaboration levels.

Ax Yalemzerf Getnet, Abiy Tasissa, Waltenegus Dargie 3/24/2026

Shift-Invariant Feature Attribution in the Application of Wireless Electrocardiograms

Feature attribution method for explaining machine learning decisions in ECG signal analysis with shift-invariant properties.

Ax Joanna Zou, Han Cheng Lie, Youssef Marzouk 3/24/2026

Goal-oriented learning of stochastic dynamical systems using error bounds on path-space observables

Goal-oriented learning of surrogate models for stochastic dynamical systems with error bounds on path-dependent observables.

Ax Jerry M. Huang, Lukas Schumacher, Niek Stevenson, Stefan T. Radev 3/24/2026

CogFormer: Learn All Your Models Once

Simulation-based inference framework enabling rapid neural network fitting across varying cognitive modeling assumptions and parameterizations.

Ax Tony Mason 3/24/2026

Epistemic Observability in Language Models

Study finding language models report highest confidence when fabricating, with formal proof this is observational not capability limitation.

Ax Hang-Cheng Dong, Pengcheng Cheng, Shuhuan Li 3/24/2026

Interpretable Operator Learning for Inverse Problems via Adaptive Spectral Filtering: Convergence and Discretization Invariance

SC-Net operator learning framework for regularized inverse problems using spectral filtering with improved interpretability and generalization.

Ax Zhilong Zhang, Haoxiang Ren, Yihao Sun, Yifei Sheng, Haonan Wang, Haoxin Lin, Zhichao Wu, Pierre-Luc Bacon, Yang Yu 3/24/2026

Towards Practical World Model-based Reinforcement Learning for Vision-Language-Action Models

World model-based reinforcement learning approach for training Vision-Language-Action robotic models without costly real-world interaction.

Ax Kry Yik Chau Lui, Cheng Chi, Kishore Basu, Yanshuai Cao 3/24/2026

LassoFlexNet: Flexible Neural Architecture for Tabular Data

Neural architecture incorporating five inductive biases for improved performance on tabular data compared to tree-based models.

Ax Aratrika Mustafi, Soumya Mukherjee 3/24/2026

Sinkhorn Based Associative Memory Retrieval Using Spherical Hellinger Kantorovich Dynamics

Dense associative memory system for empirical measures using Sinkhorn divergence and spherical Hellinger Kantorovich gradient flows for pattern retrieval.

Ax Jianwei Chen, Zhengyang Miao, Wenjie Cai, Jiaxue Tang, Boxing Liu, Yunfan Zhang, Yuhang Yang, Hao Tang, Carola-Bibiane Sch\"onlieb, Zaixu Cui, Du Lei, Shouliang Qi, Chao Li 3/24/2026

Hierarchical Multiscale Structure-Function Coupling for Brain Connectome Integration

Framework for integrating structural and functional brain connectomes using hierarchical multiscale learning across nested modular organizations.

Ax Shixiang Liu, Zhifan Li, Hanming Yang, Jianxin Yin 3/24/2026

High-dimensional online learning via asynchronous decomposition: Non-divergent results, dynamic regularization, and beyond

Asynchronous decomposition framework for high-dimensional online learning with dynamic regularization avoiding error bound divergence.

Ax Yong Wang, Qifan Shen, Bao Zhang, Zijun Huang, Chengbo Zhu, Shuai Yao, Qisong Wu 3/24/2026

mmWave-Diffusion:A Novel Framework for Respiration Sensing Using Observation-Anchored Conditional Diffusion Model

mmWave-Diffusion framework using conditional diffusion models for contactless respiration sensing with micromotion interference removal.