Ax MiroMind Team, S. Bai, L. Bing, L. Lei, R. Li, X. Li, X. Lin, E. Min, L. Su, B. Wang, L. Wang, L. Wang, S. Wang, X. Wang, Y. Zhang, Z. Zhang, G. Chen, L. Chen, Z. Cheng, Y. Deng, Z. Huang, D. Ng, J. Ni, Q. Ren, X. Tang, B. L. Wang, H. Wang, N. Wang, C. Wei, Q. Wu, J. Xia, Y. Xiao, H. Xu, X. Xu, C. Xue, Z. Yang, Z. Yang, F. Ye, H. Ye, J. Yu, C. Zhang, W. Zhang, H. Zhao, P. Zhu 3/18/2026

MiroThinker-1.7 & H1: Towards Heavy-Duty Research Agents via Verification

MiroThinker-1.7 and H1 research agents with verification for complex long-horizon reasoning and multi-step problem solving.

Ax Yihao Zhang, Zeming Wei, Xiaokun Luan, Chengcan Wu, Zhixin Zhang, Jiangrong Wu, Haolin Wu, Huanran Chen, Jun Sun, Meng Sun 3/18/2026

ClawWorm: Self-Propagating Attacks Across LLM Agent Ecosystems

ClawWorm: self-propagating attack demonstrating security vulnerabilities in multi-agent LLM ecosystems like OpenClaw.

Ax Jacob Levy, Tyler Westenbroek, Kevin Huang, Fernando Palafox, Patrick Yin, Shayegan Omidshafiei, Dong-Ki Kim, Abhishek Gupta, David Fridovich-Keil 3/18/2026

Simulation Distillation: Pretraining World Models in Simulation for Rapid Real-World Adaptation

Simulation Distillation approach for sim-to-real transfer in robotics; pretrains world models for rapid real-world adaptation.

Ax Hippolyte Verninas, Caner Korkmaz, Stefanos Zafeiriou, Tolga Birdal, Simone Foti 3/18/2026

Parallelised Differentiable Straightest Geodesics for 3D Meshes

Framework for computing differentiable geodesics on 3D meshes; enables parallelized Riemannian operators for mesh learning.

Ax Nicolas A. Errandonea, Santiago Mazuelas, Jose A. Lozano, Sanjoy Dasgupta 3/18/2026

Learnability with Partial Labels and Adaptive Nearest Neighbors

Theoretical characterization of partial labels learning feasibility with adaptive nearest neighbors method.

Ax Eadom Dessalene, Botao He, Michael Maynord, Yonatan Tussa, Pavan Mantripragada, Yianni Karabati, Nirupam Roy, Yiannis Aloimonos 3/18/2026

FEEL (Force-Enhanced Egocentric Learning): A Dataset for Physical Action Understanding

FEEL dataset combining force measurements from piezoresistive gloves with egocentric video for physical action understanding.

Ax Pranaya Jajoo, Harshit Sikchi, Siddhant Agarwal, Amy Zhang, Scott Niekum, Martha White 3/18/2026

Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation Models

Behavioral Foundation Models baseline using regularized latent dynamics prediction for adaptive agent policies.

Ax Nuri Mert Vural, Alberto Bietti, Mahdi Soltanolkotabi, Denny Wu 3/18/2026

Learning to Recall with Transformers Beyond Orthogonal Embeddings

Theoretical analysis of transformers for knowledge retrieval in LLMs beyond orthogonal embedding assumptions.

Ax Aleph Alpha, :, Adnen Abdessaied, Artur Baranowski, Lukas Balles, Michael Barlow, Fabien C. Y. Benureau, Felix Berkenkamp, Lukas Bluebaum, Bastian Boll, Thomas F. Burns, Bj\"orn Deiseroth, Constantin Eichenberg, David Friede, Pablo Iyu Guerrero, Ahmed Hammam, Bastian Harren, Johann Higl, Yasser Jadidi, Carina Kauf, Johannes Messner, Jan Hendrik Metzen, Max Meuer, Vedant Nanda, Pit Neitemeier, Koen Oostermeijer, Letitia Parcalabescu, Markus Pernpointner, Felix Reinfurt, Dylan Rodriquez, Gr\'egory Schott, Philipp Siedler, Martin Simonovsky, Till Speicher, Volker Stampa, Stephan W\"aldchen, Samuel Weinbach, Gregor Ziegltrum 3/18/2026

A Family of LLMs Liberated from Static Vocabularies

Research on dynamic tokenization replacing fixed vocabularies in LLMs; hierarchical autoregressive approach for 70B parameter models.

Ax Rushil Thareja, Gautam Gupta, Francesco Pinto, Nils Lukas 3/18/2026

MAC: Multi-Agent Constitution Learning

Constitutional AI research on learning natural language rules automatically for LLM control via multi-agent framework.

Ax Jaesung Bae, Xiuwen Zheng, Minje Kim, Chang D. Yoo, Mark Hasegawa-Johnson 3/18/2026

Something from Nothing: Data Augmentation for Robust Severity Level Estimation of Dysarthric Speech

Data augmentation framework using pseudo-labeling and unlabeled speech for robust dysarthric speech severity assessment.

Ax Sijie Li, Biao Qian, Jungong Han 3/18/2026

Mostly Text, Smart Visuals: Asymmetric Text-Visual Pruning for Large Vision-Language Models

Asymmetric pruning technique for vision-language models addressing modality-specific behaviors in text and visual token compression.

Ax Saisha Pradeep Shetty, Roger Eric Goldman, Vladimir Filkov 3/18/2026

RadAnnotate: Large Language Models for Efficient and Reliable Radiology Report Annotation

LLM-based framework using retrieval augmentation and confidence-based automation for efficient radiology report annotation in clinical NLP.

Ax Yiqun T. Chen, Moran Guo, Shengy Li 3/18/2026

Power Analysis for Prediction-Powered Inference

Power analysis framework for statistical inference on ML-predicted outcomes, addressing sample size determination for prediction-powered inference.

Ax Junwen Qiu, Leilei Mei, Junyu Zhang 3/18/2026

Shuffling the Stochastic Mirror Descent via Dual Lipschitz Continuity and Kernel Conditioning

Theoretical analysis of stochastic mirror descent optimization without Lipschitz smoothness using relative smoothness framework.

Ax Hiroyuki Hanada, Satoshi Akahane, Noriaki Hashimoto, Shion Takeno, Ichiro Takeuchi 3/18/2026

Safe Distributionally Robust Feature Selection under Covariate Shift

Feature selection method for distributionally robust learning maintaining reliability across diverse deployment environments with covariate shift.

Ax Vincenzo Buono, Peyman Sheikholharam Mashhadi, Mahmoud Rahat, Prayag Tiwari, Stefan Byttner 3/18/2026

Attribution Upsampling should Redistribute, Not Interpolate

Attribution upsampling method using redistribution instead of interpolation to prevent corruption of saliency maps in explainable AI.

Ax Shin'ya Yamaguchi, Daiki Chijiwa, Tamao Sakao, Taku Hasegawa 3/18/2026

Parallel In-context Learning for Large Vision Language Models

Parallel in-context learning technique for vision-language models reducing inference latency while maintaining demonstration effectiveness.

Ax Kazuki Yano, Shun Kiyono, Sosuke Kobayashi, Sho Takase, Jun Suzuki 3/18/2026

Pre-training LLM without Learning Rate Decay Enhances Supervised Fine-Tuning

Study showing LLM pre-training without learning rate decay improves downstream supervised fine-tuning performance.

Ax Shesh Narayan Gupta, Nik Bear Brown 3/18/2026

When Generative Augmentation Hurts: A Benchmark Study of GAN and Diffusion Models for Bias Correction in AI Classification Systems

Benchmark comparing GAN and Stable Diffusion augmentation strategies for class imbalance correction in animal classification under low-data conditions.

Ax Enguang Fan, Yifan Chen, Zihan Shan, Matthew Caesar, Jae Kim 3/18/2026

Communication-Aware Multi-Agent Reinforcement Learning for Decentralized Cooperative UAV Deployment

Graph-based multi-agent reinforcement learning for decentralized UAV swarm coordination under partial observability and communication constraints.

Ax Arno Strouwen, Sebastian Miclu\c{t}a-C\^ampeanu 3/18/2026

Deep Adaptive Model-Based Design of Experiments

Deep Adaptive Design for efficient model-based design of experiments in nonlinear dynamical systems with offline neural network policies.

Ax Moonsoo Park, Seulbeen Je, Donghyeon Park 3/18/2026

ReFORM: Review-aggregated Profile Generation via LLM with Multi-Factor Attention for Restaurant Recommendation

LLM-based recommender system using review aggregation and multi-factor attention for restaurant recommendations.

Ax TianTian Dang, Chao Bi, Shufan Shen, Jinzhe Liu, Qingming Huang, Shuhui Wang 3/18/2026

Locate-then-Sparsify: Attribution Guided Sparse Strategy for Visual Hallucination Mitigation

Attribution-guided sparse feature steering to mitigate hallucinations in large vision-language models without increasing inference cost.

Ax Hugo Math 3/18/2026

Learning to Predict, Discover, and Reason in High-Dimensional Discrete Event Sequences

Deep learning method for discovering error patterns in automotive diagnostic trouble codes and vehicle system fault characterization.

Ax Ann Rachel, Pranav M Pawar, Mithun Mukharjee, Raja M, Tojo Mathew 3/18/2026

An Interpretable Machine Learning Framework for Non-Small Cell Lung Cancer Drug Response Analysis

Machine learning framework for predicting drug response in non-small cell lung cancer using genetic and lifestyle data.

Ax Joao Manoel Herrera Pinheiro, Gabriela Do Nascimento Herrera, Alvaro Doria Dos Santos, Luciana Bueno Dos Reis Fernandes, Ricardo V. Godoy, Eduardo A. B. Almeida, Helena Carolina Onody, Marcelo Andrade Da Costa Vieira, Angelica Maria Penteado-Dias, Marcelo Becker 3/18/2026

Automated identification of Ichneumonoidea wasps via YOLO-based deep learning: Integrating HiresCam for Explainable AI

YOLO-based deep learning framework for automated wasp identification with explainable AI integration for biodiversity assessment.

Ax Hanif Rahman 3/18/2026

PashtoCorp: A 1.25-Billion-Word Corpus, Evaluation Suite, and Reproducible Pipeline for Low-Resource Language Development

1.25B-word corpus for Pashto with reproducible NLP pipeline, deduplication, and quality filtering across 39 sources.

Ax Adrien Jacquet Cr\'etides, Mouad Abrini, Hamed Rahimi, Mohamed Chetouani 3/18/2026

Encoding Predictability and Legibility for Style-Conditioned Diffusion Policy

Diffusion policy for robot motion balancing efficiency and legibility in human-robot collaboration through style conditioning.

Ax Yusuke Nishii, Hiroaki Kawashima 3/18/2026

Controlling Fish Schools via Reinforcement Learning of Virtual Fish Movement

Reinforcement learning approach training virtual fish to control real fish schools, using 2D screen-displayed agents as alternatives to physical robots.

Ax Rasul Khanbayov, Mohamed Rayan Barhdadi, Erchin Serpedin, Hasan Kurban 3/18/2026

IRIS: A Real-World Benchmark for Inverse Recovery and Identification of Physical Dynamic Systems from Monocular Video

High-fidelity benchmark with 220 real-world 4K videos for unsupervised physical parameter estimation and governing-equation identification.

Ax Vansh Sharma, Venkat Raman 3/18/2026

An approximate graph elicits detonation lattice

Graph theory algorithm for segmentation of detonation cells from 3D pressure traces in detonations research.

Ax Yong Zou, Haoran Li, Fanxiao Li, Shenyang Wei, Yunyun Dong, Li Tang, Wei Zhou, Renyang Liu 3/18/2026

REFORGE: Multi-modal Attacks Reveal Vulnerable Concept Unlearning in Image Generation Models

Multi-modal adversarial attacks exposing vulnerabilities in image generation model unlearning without full retraining.

Ax Xiaojie Gu, Sherry T. Tong, Aosong Feng, Sophia Simeng Han, Jinghui Lu, Yingjian Chen, Yusuke Iwasawa, Yutaka Matsuo, Chanjun Park, Rex Ying, Irene Li 3/18/2026

Omanic: Towards Step-wise Evaluation of Multi-hop Reasoning in Large Language Models

Omanic benchmark for step-level evaluation of multi-hop reasoning in LLMs with annotations for diagnosing reasoning failures.

Ax Jun Liu, Pu Zhao, Zhenglun Kong, Xuan Shen, Peiyan Dong, Fan Yang, Lin Cui, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Xue Lin, Gaowen Liu, Yanzhi Wang, Dong Huang 3/18/2026

When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making

Framework for resource-aware LLM reasoning in embodied robotic agents using reinforcement learning to balance computation and action execution.

Ax Akira Saito, Hiromu Fujita 3/18/2026

Data-driven forced response analysis with min-max representations of nonlinear restoring forces

Data-driven nonlinearity identification method for mechanical systems using neural network activation functions.

Ax Valentin Lafargue, Ariel Guerra-Adames, Emmanuelle Claeys, Elouan Vuichard, Jean-Michel Loubes 3/18/2026

Probing Cultural Signals in Large Language Models through Author Profiling

Evaluation of cultural biases in LLMs through author profiling from song lyrics, detecting gender and ethnicity inference in zero-shot settings.

Ax Jay Chooi, Paul G\"olz, Ariel D. Procaccia, Benjamin Schiffer, Shirley Zhang 3/18/2026

Finding Common Ground in a Sea of Alternatives

Formal model for selecting statements that find common ground across diverse population preferences using generative AI.

Ax Yi Chen, Daiwei Chen, Sukrut Madhav Chikodikar, Caitlyn Heqi Yin, Ramya Korlakai Vinayak 3/18/2026

Is Conformal Factuality for RAG-based LLMs Robust? Novel Metrics and Systematic Insights

Analysis of conformal factuality robustness in retrieval-augmented generation LLM systems, proposing novel metrics for hallucination evaluation.

Ax Kaixuan Wang, Tianxing Chen, Jiawei Liu, Honghao Su, Shaolong Zhu, Minxuan Wang, Zixuan Li, Yue Chen, Huan-ang Gao, Yusen Qin, Jiawei Wang, Qixuan Zhang, Lan Xu, Jingyi Yu, Yao Mu, Ping Luo 3/18/2026

ManiTwin: Scaling Data-Generation-Ready Digital Object Dataset to 100K

Pipeline generating 100K data-generation-ready 3D digital object twins from single images for robotic manipulation simulation.

Ax Liang Yan, Shengzhong Zhang, Bisheng Li, Menglin Yang, Chen Yang, Min Zhou, Weiyang Ding, Yutong Xie, Zengfeng Huang 3/18/2026

Geometric Imbalance in Semi-Supervised Node Classification

Analysis of geometric imbalance problem in semi-supervised node classification on class-imbalanced graph data.

Ax Jade Garcia Bourr\'ee, Erwan Le Merrer, Gilles Tredan, Beno\^it Rottembourg 3/18/2026

Leveraging Imperfect Sources to Detect Fairwashing in Black-Box Auditing

Method for detecting fairwashing in black-box algorithmic auditing by identifying compliant surrogate models versus discriminatory production systems.

Ax Olivier Truffinet (CEA Saclay), Karim Ammar (CEA Saclay), Jean-Philippe Argaud (EDF R&D), Bertrand Bouriquet (EDF) 3/18/2026

Exact and general decoupled solutions of the LMC Multitask Gaussian Process model

Decoupled solutions for Linear Model of Co-regionalization multitask Gaussian process model reducing computational complexity.

Ax Ka Chun Lam, Bridget W Mahony, Armin Raznahan, Francisco Pereira 3/18/2026

Interpretable factorization of clinical questionnaires to identify latent factors of psychopathology

Factor analysis method for identifying latent psychopathology factors in clinical questionnaire data with improved interpretability.

Ax Yoshitaka Inoue, Hunmin Lee, Tianfan Fu, Rui Kuang, Augustin Luna 3/18/2026

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

Heterogeneous graph deep learning model for drug response prediction with interpretability via attention mechanisms.

Ax Zijin Gu, Tatiana Likhomanenko, He Bai, Erik McDermott, Ronan Collobert, Navdeep Jaitly 3/18/2026

Revisiting ASR Error Correction with Specialized Models

Research on correcting automatic speech recognition errors using compact seq2seq models trained on real and synthetic ASR error patterns, avoiding LLM latency and hallucination issues.

Ax Zekai Guo, Lihui Chai, Ye Li 3/18/2026

SG-DeepONet: Source-generalized deep operator learning for full waveform inversion

Deep operator learning for full waveform inversion addressing source generalization by training on diverse seismic source conditions.

Ax Wen Ye, Wei Yang, Defu Cao, Yizhou Zhang, Lumingyuan Tang, Jie Cai, Yan Liu 3/18/2026

Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis

TS-Reasoner: domain-specialized LLM agent for multi-step time series reasoning and analysis, integrating language model reasoning with domain-specific computation.

Ax Suraj Kumar, Soumi Chattopadhyay, Chandranath Adak 3/18/2026

Anomaly Resilient Temporal QoS Prediction using Hypergraph Convoluted Transformer Network

Hypergraph convolutional transformer for QoS prediction handling data sparsity and cold-start issues in service recommendations.

Ax Xinyu Yuan, Yan Qiao, Meng Li, Zhenchun Wei, Cuiying Feng, Zonghui Wang, Wenzhi Chen 3/18/2026

Learning-based Sketches for Frequency Estimation in Data Streams without Ground Truth

Learning-augmented sketches for frequency estimation in data streams without ground truth labels, improving over traditional memory-constrained methods.