Ax Marc-Antoine Allard, Arnaud Teinturier, Victor Xing, Gautier Viaud 4/2/2026

Experiential Reflective Learning for Self-Improving LLM Agents

Experiential Reflective Learning framework enabling LLM agents to self-improve by leveraging past interactions and adapting to specialized environments.

Ax Miranda Muqing Miao, Lyle Ungar 4/2/2026

Closing the Confidence-Faithfulness Gap in Large Language Models

Mechanistic interpretability analysis of how LLMs verbalize confidence scores versus actual accuracy using linear probes and activation steering.

Ax Devashish Gaikwad, Wil M. P. van der Aalst, Gyunam Park 4/2/2026

Neuro-Symbolic Process Anomaly Detection

Neuro-symbolic approach combining neural networks with domain knowledge for process anomaly detection in event logs.

Ax Zehai He, Wenyi Hong, Zhen Yang, Ziyang Pan, Mingdao Liu, Xiaotao Gu, Jie Tang 4/2/2026

Vision2Web: A Hierarchical Benchmark for Visual Website Development with Agent Verification

Vision2Web: Hierarchical benchmark for evaluating AI agents on website development tasks from UI-to-code to full-stack implementation.

Ax Guilin Zhang, Wulan Guo, Ziqi Tan, Chuanyi Sun, Hailong Jiang 4/2/2026

CarbonEdge: Carbon-Aware Deep Learning Inference Framework for Sustainable Edge Computing

CarbonEdge: Carbon-aware deep learning inference framework for edge computing optimizing environmental impact alongside latency and throughput.

Ax Kesheng Chen, Yamin Hu, Qi Zhou, Zhenqian Zhu, Wenjian Luo 4/2/2026

CDH-Bench: A Commonsense-Driven Hallucination Benchmark for Evaluating Visual Fidelity in Vision-Language Models

CDH-Bench: Benchmark evaluating vision-language models' commonsense-driven hallucinations when visual evidence conflicts with common sense.

Ax Xuan Deng, Xiandong Meng, Hengyu Man, Qiang Zhu, Tiange Zhang, Debin Zhao, Xiaopeng Fan 4/2/2026

LG-HCC: Local Geometry-Aware Hierarchical Context Compression for 3D Gaussian Splatting

LG-HCC proposes geometry-aware compression for 3D Gaussian Splatting to reduce storage overhead while maintaining rendering quality.

Ax Yufei Xu, Fanxu Meng, Fan Jiang, Yuxuan Wang, Ruijie Zhou, Zhaohui Wang, Jiexi Wu, Zhixin Pan, Xiaojuan Tang, Wenjie Pei, Tongxuan Liu, Di yin, Xing Sun, Muhan Zhang 4/2/2026

HISA: Efficient Hierarchical Indexing for Fine-Grained Sparse Attention

HISA improves efficiency of sparse attention mechanisms by optimizing hierarchical indexing to reduce bottlenecks in token-level key selection for LLMs.

Ax Ziliang Guo, Ziheng Li, Bo Tang, Feiyu Xiong, Zhiyu Li 4/2/2026

MemFactory: Unified Inference & Training Framework for Agent Memory

MemFactory: unified inference and training framework for agent memory integration with RL optimization of memory operations in LLM agents.

Ax Zhuoling Li, Jiarui Zhang, Ping Hu, Jason Kuen, Jiuxiang Gu, Hossein Rahmani, Jun Liu 4/2/2026

Automatic Method Illustration Generation for AI Scientific Papers via Drawing Middleware Creation, Evolution, and Orchestration

FigAgent: multi-agent framework for automatic method illustration generation in AI papers via drawing middleware orchestration.

Ax Max Hennick, Guillaume Corlouer 4/2/2026

From Density Matrices to Phase Transitions in Deep Learning: Spectral Early Warnings and Interpretability

Reduced density matrix method from quantum chemistry for predicting and interpreting phase transitions during deep learning model training.

Ax Fangxin Wang, Peyman Baghershahi, Langzhou He, Henry Peng Zou, Sourav Medya, Philip S. Yu 4/2/2026

Two-Stage Optimizer-Aware Online Data Selection for Large Language Models

Optimizer-aware gradient-based online data selection framework for sequential LLM fine-tuning with step-dependent sample utility estimation.

Ax Gabriel U. Talasso, Meghdad Kurmanji, Allan M. de Souza, Nicholas D. Lane, Leandro A. Villas 4/2/2026

Task-Centric Personalized Federated Fine-Tuning of Language Models

Personalized federated fine-tuning approach for language models on distributed heterogeneous task datasets with improved generalization.

Ax Adrian Mart\'inez, Ananya Gupta, Hanka Goralija, Mario Rico, Sa\'ul Fenollosa, Tamar Alphaidze 4/2/2026

Evolution Strategies for Deep RL pretraining

Evolution strategies for Deep RL pretraining offering derivative-free, computationally efficient alternative to standard deep reinforcement learning.

Ax Michael Chertkov 4/2/2026

Temporal Memory for Resource-Constrained Agents: Continual Learning via Stochastic Compress-Add-Smooth

Continual learning framework for resource-constrained agents using stochastic bridge diffusion process for temporal memory management.

Ax Leonardo Medrano Sandonas, David Balcells, Anton Bochkarev, Jacqueline M. Cole, Volker L. Deringer, Werner Dobrautz, Adrian Ehrenhofer, Thorben Frank, Pascal Friederich, Rico Friedrich, Janine George, Luca Ghiringhelli, Alejandra Hinostroza Caldas, Veronika Juraskova, Hannes Kneiding, Yury Lysogorskiy, Johannes T. Margraf, Hanna T\"urk, Anatole von Lilienfeld, Milica Todorovi\'c, Alexandre Tkatchenko, Mariana Rossi, Gianaurelio Cuniberti 4/2/2026

Perspective: Towards sustainable exploration of chemical spaces with machine learning

Perspective on sustainability challenges in AI-driven molecular and materials discovery across QM data, training, and automation pipelines.

Ax Arsenios Scrivens 4/2/2026

Empirical Validation of the Classification-Verification Dichotomy for AI Safety Gates

Empirical evidence that classifier-based safety gates fail for self-improving AI systems across multiple model architectures.

Ax Xiao Qian, Shangjia Dong 4/2/2026

PASM: Population Adaptive Symbolic Mixture-of-Experts Model for Cross-location Hurricane Evacuation Decision Prediction

Symbolic mixture-of-experts model for predicting cross-location hurricane evacuation behavior with population-level adaptation.

Ax Amirreza Alasti, Efe Erdal, Y\"ucel Celik, Theresa Eimer 4/2/2026

Learning to Play Blackjack: A Curriculum Learning Perspective

LLM-based curriculum learning framework for reinforcement learning agents applied to Blackjack game strategy.

Ax Selin Bayramo\u{g}lu, George L Nemhauser, Nikolaos V Sahinidis 4/2/2026

Speeding Up Mixed-Integer Programming Solvers with Sparse Learning for Branching

Sparse interpretable machine learning models for improving branching decisions in mixed-integer programming solvers without GPU requirements.

Ax Annette Taberner-Miller 4/2/2026

ParetoBandit: Budget-Paced Adaptive Routing for Non-Stationary LLM Serving

Open-source adaptive router for multi-model LLM serving using cost-aware contextual bandits with non-stationary pricing and quality changes.

Ax Ferdaus Anam Jibon, Fazlul Hasan Siddiqui, F. Deeba, Gahangir Hossain 4/2/2026

Epileptic Seizure Detection in Separate Frequency Bands Using Feature Analysis and Graph Convolutional Neural Network (GCN) from Electroencephalogram (EEG) Signals

Epileptic seizure detection from EEG signals using graph convolutional neural networks on frequency band features.

Ax Md Rafi Islam, Md Rejwanul Haque, Elizabeth Choma, Shannon Hayes, Siobhan McMahon, Xiangrong Shen, Edward Sazonov 4/2/2026

Sit-to-Stand Transitions Detection and Duration Measurement Using Smart Lacelock Sensor

Sit-to-stand transition detection using smart lacelock sensor for fall risk assessment in older adults.

Ax Rachid Drissi 4/2/2026

L\'evy-Flow Models: Heavy-Tail-Aware Normalizing Flows for Financial Risk Management

Normalizing flow models using Lévy process distributions for heavy-tailed financial risk modeling.

Ax Brenden Latham, Mehrdad Moharrami 4/2/2026

Offline Constrained RLHF with Multiple Preference Oracles

Offline reinforcement learning from human feedback with multiple preference oracles for trading off performance with safety and fairness constraints.

Ax Javier Bisbal, Julio Sotelo, Hern\'an Mella, Oliver Welin Odeback, Joaqu\'in Mura, David Marlevi, Junya Matsuda, Kotomi Iwata, Tetsuro Sekine, Cristian Tejos, Sergio Uribe 4/2/2026

Unsupervised 4D Flow MRI Velocity Enhancement and Unwrapping Using Divergence-Free Neural Networks

Unsupervised neural network for 4D Flow MRI velocity field enhancement and phase wrapping correction using divergence-free parameterization.

Ax Thomas Buckley, Leslie Schumm, Manor Askenazi, Edward Rietman 4/2/2026

Lead Zirconate Titanate Reservoir Computing for Classification of Written and Spoken Digits

Physical reservoir computing using Lead Zirconate Titanate for digit classification.

Ax Sunny Liu, Habon Issa, Andr\'e Longon, Liv Gorton, Meenakshi Khosla, David Klindt 4/2/2026

Measuring the Representational Alignment of Neural Systems in Superposition

Alignment metrics for comparing neural network representations operating in superposition.

Ax Hoang-Chau Luong, Dat Ba Tran, Lingwei Chen 4/2/2026

Diversity-Aware Reverse Kullback-Leibler Divergence for Large Language Model Distillation

Diversity-aware reverse KL divergence method improving LLM distillation with large capacity mismatches.

Ax Anamika Paul Rupa 4/2/2026

Neural Collapse Dynamics: Depth, Activation, Regularisation, and Feature Norm Threshold

Analysis of neural collapse dynamics identifying critical feature norm threshold for convergence.

Ax Jinghan Yao, Sam Ad\'e Jacobs, Walid Krichene, Masahiro Tanaka, Dhabaleswar K Panda 4/2/2026

MAC-Attention: a Match-Amend-Complete Scheme for Fast and Accurate Attention Computation

MAC-Attention acceleration technique for LLM long-context decoding that preserves attention computation fidelity without compression.

Ax Yoann Boget, Pablo Strasser, Alexandros Kalousis 4/2/2026

Hierarchical Discrete Flow Matching for Graph Generation

Hierarchical flow matching framework for computationally efficient graph generation with reduced complexity.

Ax Chuyi Dai, Witold Pedrycz, Suping Xu, Ding Liu, Xianmin Wang 4/2/2026

Informed Machine Learning with Knowledge Landmarks

Knowledge-Data ML framework integrating numeric data with knowledge for model construction.

Ax Md Mirajul Islam, Rajesh Debnath, Adittya Soukarjya Saha, Min Chi 4/2/2026

Hierarchical Apprenticeship Learning from Imperfect Demonstrations with Evolving Rewards

Apprenticeship learning from imperfect demonstrations with evolving rewards in e-learning contexts.

Ax Lam M. Nguyen, Dzung T. Phan, Jayant Kalagnanam 4/2/2026

Learning to Shuffle: Block Reshuffling and Reversal Schemes for Stochastic Optimization

Research on shuffling strategies for stochastic gradient descent optimization with convergence analysis.

Ax Eloghosa Ikponmwoba, Opeoluwa Owoyele 4/2/2026

Autonomous Adaptive Solver Selection for Chemistry Integration via Reinforcement Learning

Reinforcement learning framework for autonomous solver selection in chemical kinetics integration.

Ax Hochan Son, Xiaofeng Lin, Jason Ni, Guang Cheng 4/2/2026

SYNTHONY: A Stress-Aware, Intent-Conditioned Agent for Deep Tabular Generative Models Selection

Agent system using RL to select optimal deep generative models for tabular data synthesis.

Ax Huseyin Tuna Erdinc, Ipsita Bhar, Rafael Orozco, Thales Souza, Felix J. Herrmann 4/2/2026

SAGE: Subsurface AI-driven Geostatistical Extraction with proxy posterior

Generative framework for subsurface velocity model synthesis using proxy posterior estimation.

Ax Anurag Kumar, Raghuveer Peri, Jon Burnsky, Alexandru Nelus, Rohit Paturi, Srikanth Vishnubhotla, Yanjun Qi 4/2/2026

Robust Multimodal Safety via Conditional Decoding

Conditional decoding strategy (CASA) for improving safety alignment in multimodal LLMs against cross-modal attacks.

Ax Aengus Lynch 4/2/2026

The Persistent Vulnerability of Aligned AI Systems

AI safety research on vulnerabilities in autonomous agents with filesystem/email access via circuit analysis.

Ax Yagiz Ihlamur 4/2/2026

When Career Data Runs Out: Structured Feature Engineering and Signal Limits for Founder Success Prediction

XGBoost model for startup founder success prediction using engineered features from career data.

Ax Ankit Grover, Lodovico Giaretta, R\'emi Bourgerie, Sarunas Girdzijauskas 4/2/2026

Is One Token All It Takes? Graph Pooling Tokens for LLM-based GraphQA

Method for encoding graph structure into LLMs via graph pooling tokens for Graph Question Answering tasks.

Ax Mahammad Valiyev, Jodel Cornelio, Behnam Jafarpour 4/2/2026

Deep Learning-Accelerated Surrogate Optimization for High-Dimensional Well Control in Stress-Sensitive Reservoirs

Deep learning surrogate optimization for production control in stress-sensitive oil reservoirs.

Ax Saman Khamesian, Sri Harini Balaji, Di Yang Shi, Stephanie M. Carpenter, Daniel E. Rivera, W. Bradley Knox, Peter Stone, Hassan Ghasemzadeh 4/2/2026

GUIDE: Reinforcement Learning for Behavioral Action Support in Type 1 Diabetes

Reinforcement learning approach for behavioral support in Type 1 Diabetes management and insulin dosing.

Ax Shihao Li, Jiachen Li, Dongmei Chen 4/2/2026

Gradient-Based Data Valuation Improves Curriculum Learning for Game-Theoretic Motion Planning

Gradient-based data valuation for curriculum learning in game-theoretic motion planning using TracIn scoring.

Ax Weyl Lu, Chenjie Hao, Yubei Chen 4/2/2026

Deep Networks Favor Simple Data

Study showing deep networks assign higher density to simpler out-of-distribution data than in-distribution test data.

Ax Yaqi Chen, Shixun Huang, Ryan Twemlow, Lei Wang, John Le, Sheng Wang, Willy Susilo, Jun Yan, Jun Shen 4/2/2026

A Cross-graph Tuning-free GNN Prompting Framework

Tuning-free GNN prompting framework for cross-graph adaptation without task-specific parameter updates.

Ax Ravi Ranjan, Utkarsh Grover, Xiaomin Lin, Agoritsa Polyzou 4/2/2026

G-Drift MIA: Membership Inference via Gradient-Induced Feature Drift in LLMs

Membership inference attack on LLMs via gradient-induced feature drift to detect training data exposure.

Ax Amirhossein Dezhboro, Fateme Maleki, Arman Adibi, Erfan Amini, Jose E. Ramirez-Marquez 4/2/2026

Convergence of Byzantine-Resilient Gradient Tracking via Probabilistic Edge Dropout

Distributed optimization algorithm for Byzantine-resilient gradient tracking with probabilistic edge dropout.

Ax Abrari Noor Hasmi, Haralampos Hatzikirou, Hadi Susanto 4/2/2026

Phase space integrity in neural network models of Hamiltonian dynamics: A Lagrangian descriptor approach

Lagrangian Descriptors framework for evaluating neural network models of Hamiltonian dynamics.