Ax Jiacheng Liu, Xiaohan Zhao, Xinyi Shang, Zhiqiang Shen 4/17/2026

Dive into Claude Code: The Design Space of Today's and Future AI Agent Systems

arXiv study analyzing Claude Code architecture and design space of agentic systems, comparing with OpenClaw, identifying five human values in agent design.

Ax Pramudita Satria Palar, Paul Saves, Muhammad Daffa Robani, Nicolas Verstaevel, Moncef Garouani, Julien Aligon, Koji Shimoyama, Joseph Morlier, Benoit Gaudou 4/17/2026

Interpretable and Explainable Surrogate Modeling for Simulations: A State-of-the-Art Survey and Perspectives on Explainable AI for Decision-Making

arXiv survey on explainable surrogate models for complex system simulations, examining interpretability in black-box computational models.

Ax Wangjie Gan, Miao Pan, Linbo Xi, Wenqi Zhang, Jintao Chen, Jianwei Yin, Xuhong Zhang 4/17/2026

GFT: From Imitation to Reward Fine-Tuning with Unbiased Group Advantages and Dynamic Coefficient Rectification

arXiv paper on Group Advantage Fine-Tuning (GFT) for LLMs, unifying supervised fine-tuning with reinforcement learning through policy gradient analysis.

Ax Qianyu Chen, Shujian Yu 4/17/2026

Continual Learning for fMRI-Based Brain Disorder Diagnosis via Functional Connectivity Matrices Generative Replay

Continual learning framework for brain disorder diagnosis from fMRI using generative replay on functional connectivity matrices.

Ax Behnaz Elhaminia, Catherine King, Jiaqi Lv, Lorraine Harper, Paul Moss, Owen Cain, Dimitrios Chanouzas, Shan E Ahmed Raza 4/17/2026

A deep learning framework for glomeruli segmentation with boundary attention

U-Net-based deep learning model with boundary attention for glomeruli segmentation in kidney tissue using pathology foundation models.

Ax Carri W. Chan, Yi Han, Hannah Li, Benjamin L. Ranard 4/17/2026

Deployment of AI-Assisted Interventions: Capacity Constraints and Noisy Compliance

Study of AI-assisted intervention deployment in healthcare/education with capacity constraints and imperfect user compliance.

Ax Kristian Holme, Jean Rabault, Ricardo Vinuesa, Mikael Mortensen 4/17/2026

Timescale Separation Enables Deep Reinforcement Learning Control of Rotating Detonation Engine Mode Transitions

Deep reinforcement learning for controlling rotating detonation engine mode transitions using timescale separation.

Ax Felipe Parodi, Jordan Matelsky, Melanie Segado 4/17/2026

Zero-Ablation Overstates Register Content Dependence in DINO Vision Transformers

Analysis of register tokens in DINO vision transformers, showing zero-ablation overestimates their importance using multiple controls.

Ax Mel Sohm, Charles Dezons, Sami Sellami, Oscar Ninou, Axel Pincon 4/17/2026

Improving Machine Learning Performance with Synthetic Augmentation

Analysis of synthetic data augmentation's effect on training distributions and bias-variance tradeoffs in financial machine learning.

Ax Jianghong Huang, Luping Ji, Weiwei Duan, Mao Ye 4/17/2026

H2VLR: Heterogeneous Hypergraph Vision-Language Reasoning for Few-Shot Anomaly Detection

Few-shot anomaly detection using vision-language models and heterogeneous hypergraphs for industrial and medical imaging.

Ax Yuxiang Wang, Hongyu Liu, Yijiang Xu, Qinke Ni, Li Wang, Wan Lin, Kunyu Feng, Dekun Chen, Xu Tan, Lei Wang, Jie Shi, Zhizheng Wu 4/17/2026

VoxSafeBench: Not Just What Is Said, but Who, How, and Where

Benchmark for evaluating safety of speech language models across speaker identity, acoustic style, and location contexts.

Ax Sazzadul Islam, Tasnim Tabassum, Hao Zheng 4/17/2026

VeriGraphi: A Multi-Agent Framework of Hierarchical RTL Generation for Large Hardware Designs

Multi-agent LLM framework using hierarchical reasoning to generate synthesizable Verilog for hardware designs, addressing context and hallucination issues.

Ax Sumit Mukherjee, Juan Shu, Nairwita Mazumder, Tate Kernell, Celena Wheeler, Shannon Hastings, Chris Sidey-Gibbons 4/17/2026

Retrieve, Then Classify: Corpus-Grounded Automation of Clinical Value Set Authoring

RAG-based approach using LLMs to automate clinical value set authoring by retrieving and classifying codes from standardized vocabularies.

Ax Seyun Bae, Seokhan Lee, Eunho Yang 4/17/2026

CURaTE: Continual Unlearning in Real Time with Ensured Preservation of LLM Knowledge

CURaTE: continual unlearning method for LLMs enabling real-time knowledge removal while preserving model utility.

Ax David Y. Y. Tan, Kellie Chin, Jingxian Zhang 4/17/2026

AgentGA: Evolving Code Solutions in Agent-Seed Space

AgentGA: genetic algorithm framework for evolving autonomous code-generation agents by optimizing agent seed.

Ax Jianhao Su, Zhanwei Wu, ShengTing Huang, Weidong Feng 4/17/2026

AIPC: Agent-Based Automation for AI Model Deployment with Qualcomm AI Runtime

AIPC: AI agent-driven automation system for edge model deployment targeting hardware-specific inference runtimes.

Ax Krti Tallam 4/17/2026

Layered Mutability: Continuity and Governance in Persistent Self-Modifying Agents

Framework for understanding mutable state layers in persistent LLM-based agents with self-modification capabilities.

Ax Seokwon Lee, Jaeyoung Sim, Sihyun Kim, Yuhsing Li, Yiwen Zhu, Kwanghyun Park 4/17/2026

RELOAD: A Robust and Efficient Learned Query Optimizer for Database Systems

RELOAD: reinforcement learning-based query optimizer for database systems with robust per-query performance.

Ax Runze Li, Hongyin Zhang, Junxi Jin, Qixin Zeng, Zifeng Zhuang, Yiqi Tang, Shangke Lyu, Donglin Wang 4/17/2026

World-Value-Action Model: Implicit Planning for Vision-Language-Action Systems

World-Value-Action model for vision-language-action embodied agents with implicit planning capabilities.

Ax Adrian Edin, Michel Kieffer, Mikael Johansson, Zheng Chen 4/17/2026

Exploiting Correlations in Federated Learning: Opportunities and Practical Limitations

Systematic classification and analysis of compression techniques exploiting correlations in federated learning.

Ax Yifan Zhao, Yuchen Yang, Matei Budiu, Sasa Misailovic 4/17/2026

Nautilus: An Auto-Scheduling Tensor Compiler for Efficient Tiled GPU Kernels

Nautilus tensor compiler with automated scheduling for efficient GPU kernel generation from high-level specifications.

Ax Yasin Abbasi-Yadkori, Peter L. Bartlett, Victor Gabillon, Alan Malek, Michal Valko 4/17/2026

Best of both worlds: Stochastic & adversarial best-arm identification

Bandit best-arm identification algorithm robust to both stochastic and adversarial reward distributions.

Ax Subhodip Panda, Shubhada Agrawal 4/17/2026

Regret Tail Characterization of Optimal Bandit Algorithms with Generic Rewards

Theoretical analysis of regret tail behavior in multi-armed bandit algorithms with stochastic rewards.

Ax Danae S\'anchez Villegas, Samuel Lewis-Lim, Nikolaos Aletras, Desmond Elliott 4/17/2026

Reasoning Dynamics and the Limits of Monitoring Modality Reliance in Vision-Language Models

arXiv paper analyzing reasoning dynamics and visual-textual information integration in 18 vision-language models.

Ax Evaldas Vaiciukynas, Paulius Danenas, Linas Ablonskis, Algirdas Sukys, Edgaras Dambrauskas, Voldemaras Zitkus, Rita Butkiene, Rimantas Butleris 4/17/2026

Comparison of Modern Multilingual Text Embedding Techniques for Hate Speech Detection Task

arXiv paper evaluating multilingual text embedding models for hate speech detection across Lithuanian, Russian, and English.

Ax Aihua Li 4/17/2026

Towards Faster Language Model Inference Using Mixture-of-Experts Flow Matching

arXiv paper proposing mixture-of-experts flow matching for faster language model inference while maintaining generation quality.

Ax Haochun Tang, Yuliang Yan, Jiahua Lu, Huaxiao Liu, Enyan Dai 4/17/2026

Route to Rome Attack: Directing LLM Routers to Expensive Models via Adversarial Suffix Optimization

arXiv paper on Route to Rome Attack, demonstrating black-box adversarial suffix attacks on cost-aware LLM routers.

Ax Naryeong Kim, Shin Yoo 4/17/2026

Atropos: Improving Cost-Benefit Trade-off of LLM-based Agents under Self-Consistency with Early Termination and Model Hotswap

arXiv paper on Atropos, optimizing cost-performance trade-offs for LLM-based agents using small models with early termination and model hotswapping.

Ax Chenghui Zheng, Garvesh Raskutti 4/17/2026

MinShap: A Modified Shapley Value Approach for Feature Selection

Feature selection method based on modified Shapley values for non-linear models with dependent features.

Ax Haozhi Fan, Jinhao Duan, Kaidi Xu 4/17/2026

IUQ: Interrogative Uncertainty Quantification for Long-Form Large Language Model Generation

Uncertainty quantification framework for long-form LLM generation addressing factuality and coherence in open-ended text.

Ax Arman Hatami, Romina Aalishah, Ilya E. Monosov 4/17/2026

Class Unlearning via Depth-Aware Removal of Forget-Specific Directions

Machine unlearning method targeting class removal by identifying and removing forget-specific representational directions in neural networks.

Ax Manan Gupta, Inderjeet Nair, Lu Wang, Dhruv Kumar 4/17/2026

Context Over Content: Exposing Evaluation Faking in Automated Judges

Exposes vulnerability in LLM-as-judge systems where contextual framing about downstream consequences influences evaluation independent of content.

Ax Mengdi Wu, Xiaoyu Jiang, Oded Padon, Zhihao Jia 4/17/2026

Prism: Symbolic Superoptimization of Tensor Programs

Symbolic superoptimizer for tensor programs using hierarchical symbolic graphs to represent and optimize families of implementations.

Ax Manan Gupta, Dhruv Kumar 4/17/2026

Diagnosing LLM Judge Reliability: Conformal Prediction Sets and Transitivity Violations

Diagnostic framework using conformal prediction and transitivity analysis to measure reliability of LLM-as-judge systems for NLG evaluation.

Ax Yao Tong, Jiayuan Ye, Anastasia Borovykh, Reza Shokri 4/17/2026

Generalization in LLM Problem Solving: The Case of the Shortest Path

Controlled study examining whether LLMs can generalize systematically using shortest-path planning as a testbed to isolate training, architecture, and inference factors.

Ax Quyen Tran, Hai Nguyen, Hoang Phan, Quan Dao, Linh Ngo, Khoat Than, Dinh Phung, Dimitris Metaxas, Trung Le 4/17/2026

An Optimal Transport-driven Approach for Cultivating Latent Space in Online Incremental Learning

Online incremental learning method using optimal transport to manage multimodal class distributions in latent space with continuous data streams.

Ax Bo Shu, Yiting Zhang, Saisai Hu, Dong Shu 4/17/2026

Generative Models and Connected and Automated Vehicles: A Survey in Exploring the Intersection of Transportation and AI

Survey on generative models applied to connected autonomous vehicles for predictive modeling, simulation, and decision-making.

Ax Utsav Singh, Souradip Chakraborty, Wesley A. Suttle, Brian M. Sadler, Derrik E. Asher, Anit Kumar Sahu, Mubarak Shah, Vinay P. Namboodiri, Amrit Singh Bedi 4/17/2026

Direct Preference Optimization for Primitive-Enabled Hierarchical RL: A Bilevel Approach

Bilevel DPO approach for hierarchical RL addressing non-stationarity and infeasible subgoals through preference optimization.

Ax Peidong Liu, Wenbo Zhang, Wei Ju, Jiancheng Lv, Xianggen Liu 4/17/2026

Bridging the Gap between Learning and Inference for Diffusion-Based Molecule Generation

DiffGap framework for molecule generation integrating adaptive sampling and pseudo-molecule estimation to address exposure bias in diffusion models.

Ax Fernando H. O. Duarte, Gladston J. P. Moreira, Eduardo J. S. Luz, Leonardo B. L. Santos, Vander L. S. Freitas 4/17/2026

Leveraging graph neural networks and mobility data for COVID-19 forecasting

Applies GNNs with human mobility data for COVID-19 forecasting, analyzing when spatio-temporal architectures outperform simpler baselines.

Ax Andrea Apicella, Salvatore Giugliano, Francesco Isgr\`o, Andrea Pollastro, Roberto Prevete 4/17/2026

IMPACTX: improving model performance by appropriately constraining the training with teacher explanations

IMPACTX leverages XAI techniques as automated attention mechanism to improve model performance without external knowledge or manual intervention.

Ax Jiacheng Liang, Tanqiu Jiang, Yuhui Wang, Rongyi Zhu, Fenglong Ma, Ting Wang 4/17/2026

AutoRAN: Automated Hijacking of Safety Reasoning in Large Reasoning Models

AutoRAN framework automating hijacking of safety reasoning in large reasoning models using weaker model simulation and iterative refinement.

Ax Wenjie Ou, Zhishuo Zhao, Cheng Chen, Dongyue Guo, Yi Lin 4/17/2026

Logo-LLM: Local and Global Modeling with Large Language Models for Time Series Forecasting

Logo-LLM adapts LLMs for time series forecasting by combining local and global modeling to capture both short-term and long-range dependencies.

Ax Devendra Parkar, Anya Chaturvedi, Joshua J. Daymude 4/17/2026

Unsupervised Learning of Local Updates for Maximum Independent Set in Dynamic Graphs

First unsupervised learning model for Maximum Independent Set in dynamic graphs using GNNs with learned distributed update mechanisms.

Ax Yixian Xu, Shengjie Luo, Liwei Wang, Di He, Chang Liu 4/17/2026

Diagnosing and Improving Diffusion Models by Estimating the Optimal Loss Value

Method for estimating optimal loss value in diffusion models to distinguish between large optimal loss and insufficient model capacity.

Ax Yiyuan Yang, Zichuan Liu, Lei Song, Kai Ying, Zhiguang Wang, Tom Bamford, Svitlana Vyetrenko, Jiang Bian, Qingsong Wen 4/17/2026

Time-RA: Towards Time Series Reasoning for Anomaly Diagnosis with LLM Feedback

Time-RA reformulates time series anomaly detection as reasoning task using LLM feedback, introducing RATs40K dataset for fine-grained categorization.

Ax Dai Do, Manh Nguyen, Svetha Venkatesh, Hung Le 4/17/2026

SPaCe: Unlocking Sample-Efficient Large Language Models Training With Self-Pace Curriculum Learning

SPaCe applies curriculum learning to LLM fine-tuning with RL, reducing data/compute requirements by sampling examples by difficulty and learning value.

Ax Shaocong Wang, Tong Liu, Yihan Li, Ming Li, Kairui Wen, Pei Yang, Wenqi Ji, Minjing Yu, Yong-Jin Liu 4/17/2026

EEGDM: Learning EEG Representation with Latent Diffusion Model

EEGDM uses latent diffusion models for self-supervised EEG representation learning, capturing global dynamics beyond masked reconstruction.

Ax Yubo Gao, Renbo Tu, Gennady Pekhimenko, Nandita Vijaykumar 4/17/2026

DPQuant: Efficient and Differentially-Private Model Training via Dynamic Quantization Scheduling

DPQuant combines quantization scheduling with differentially-private SGD/Adam to reduce training time and energy while protecting privacy.

Ax Hannah Markgraf, Shambhuraj Sawant, Hanna Krasowski, Lukas Sch\"afer, Sebastien Gros, Matthias Althoff 4/17/2026

Safe Reinforcement Learning using Action Projection: Safeguard the Policy or the Environment?

Compares two strategies for integrating safety filters in RL: safeguarding environment vs embedding in policy through differentiable optimization.