Ax Sailesh kiran kurra, Shiek Ruksana, Vishal Borusu 4/7/2026

Unmasking Hallucinations: A Causal Graph-Attention Perspective on Factual Reliability in Large Language Models

Causal graph-attention approach to detect and mitigate hallucinations in LLMs for improved factual reliability.

Ax Houzhe Wang, Xiaojie Zhu, Chi Chen 4/7/2026

Jellyfish: Zero-Shot Federated Unlearning Scheme with Knowledge Disentanglement

Jellyfish: Zero-shot federated unlearning scheme using knowledge disentanglement for privacy-preserving federated learning.

Ax Nahyuk Lee, Zhiang Chen, Marc Pollefeys, Sunghwan Hong 4/7/2026

TORA: Topological Representation Alignment for 3D Shape Assembly

TORA: Topology-first framework for 3D shape assembly using flow-matching and pretrained 3D encoders.

Ax Hang Xu, Ling Yue, Chaoqian Ouyang, Yuchen Liu, Libin Zheng, Shaowu Pan, Shimin Di, Min-Ling Zhang 4/7/2026

FactReview: Evidence-Grounded Reviews with Literature Positioning and Execution-Based Claim Verification

FactReview: LLM-based peer review system that grounds claims in evidence from papers, related work, and code to improve ML paper reviewing.

Ax Yuanhao Liu, Zihan Zhou, Kaiying Wu, Shuo Liu, Yiyang Huang, Jiajun Guo, Aimin Zhou, Hong Qian 4/7/2026

Embedding Enhancement via Fine-Tuned Language Models for Learner-Item Cognitive Modeling

Fine-tuned language models enhance embeddings for cognitive diagnosis in online education systems by incorporating semantic representations.

Ax Arunkumar Rathinam, Jules Lecomte, Jost Reelsen, Gregor Lenz, Axel von Arnim, Djamila Aouada 4/7/2026

Efficient Onboard Spacecraft Pose Estimation with Event Cameras and Neuromorphic Hardware

Event camera and neuromorphic hardware approach for efficient spacecraft pose estimation during autonomous rendezvous operations in space.

Ax Gunn Kim 4/7/2026

Non-Equilibrium Stochastic Dynamics as a Unified Framework for Insight and Repetitive Learning: A Kramers Escape Approach to Continual Learning

Framework using non-equilibrium stochastic dynamics to address stability-plasticity dilemma in continual learning via Kramers escape theory.

Ax Adrienne Deganutti, Elad Hirsch, Haonan Zhu, Jaejung Seol, Purvanshi Mehta 4/7/2026

Graphic-Design-Bench: A Comprehensive Benchmark for Evaluating AI on Graphic Design Tasks

First comprehensive benchmark for evaluating AI models on professional graphic design tasks including layout, typography, and design intent translation.

Ax Mir Tafseer Nayeem, Davood Rafiei 4/7/2026

Which English Do LLMs Prefer? Triangulating Structural Bias Towards American English in Foundation Models

Study analyzing bias toward American English in LLMs through postcolonial lens, examining how data curation and geopolitical histories shape model development.

Ax Soham Bonnerjee, Zhipeng Lou, Wei Biao Wu 4/7/2026

Sharp asymptotic theory for Q-learning with LDTZ learning rate and its generalization

Asymptotic convergence analysis of Q-learning with linear decay to zero learning rates addressing persistent bias and slow convergence issues.

Ax Oluseyi Olukola, Nick Rahimi 4/7/2026

Pedagogical Safety in Educational Reinforcement Learning: Formalizing and Detecting Reward Hacking in AI Tutoring Systems

Formal framework and metrics for pedagogical safety in educational reinforcement learning, introducing Reward Hacking Severity Index to detect misalignment.

Ax Hanchen Li, Runyuan He, Qizheng Zhang, Changxiu Ji, Qiuyang Mang, Xiaokun Chen, Lakshya A Agrawal, Wei-Liang Liao, Eric Yang, Alvin Cheung, James Zou, Kunle Olukotun, Ion Stoica, Joseph E. Gonzalez 4/7/2026

Combee: Scaling Prompt Learning for Self-Improving Language Model Agents

Combee framework for scaling prompt learning in LLM agents enabling efficient self-improvement through system prompt optimization across parallel runs.

Ax Oluseyi Olukola, Nick Rahimi 4/7/2026

MC-CPO: Mastery-Conditioned Constrained Policy Optimization

MC-CPO method for constrained reinforcement learning in tutoring systems preventing reward hacking through mastery-conditioned safety constraints.

Ax Anushree Sinha, Srivaths Ranganathan, Debanshu Das, Abhishek Dharmaratnakar 4/7/2026

Beyond Fluency: Toward Reliable Trajectories in Agentic IR

Position paper analyzing failure modes in agentic IR systems where early errors cascade despite linguistic fluency, causing misalignment between reasoning and execution.

Ax Ioannis Panitsas, Leandros Tassiulas 4/7/2026

A Family of Open Time-Series Foundation Models for the Radio Access Network

Open foundation models for Radio Access Network time-series forecasting enabling AI-native optimization and closed-loop control with improved generalization.

Ax Yash Ganpat Sawant 4/7/2026

High-Stakes Personalization: Rethinking LLM Customization for Individual Investor Decision-Making

System and analysis of personalized LLM customization for individual investor decision-making, identifying fundamental limitations in current personalization paradigms.

Ax Saad Alqithami 4/7/2026

Soft Tournament Equilibrium

Soft Tournament Equilibrium framework for evaluating LLM-based agents in non-transitive competitive settings using set-valued rankings instead of linear orderings.

Ax Saurav Jha, Maryam Hashemzadeh, Ali Saheb Pasand, Ali Parviz, Min-Joong Lee, Boris Knyazev 4/7/2026

REAM: Merging Improves Pruning of Experts in LLMs

REAM method for pruning mixture-of-experts in large language models by merging experts, addressing memory challenges in deployment of billion-parameter models.

Ax Emerson Lopes Machadoa, Cristiano Jacques Miosso, Ricardo Pezzuol Jacobi 4/7/2026

Integer-Only Operations on Extreme Learning Machine Test Time Classification

Theoretical analysis of integer-only operations for extreme learning machine classifiers to reduce computational cost at test time without accuracy loss.

Ax Maohao Shen, Kaiwen Zha, Zexue He, Zhang-Wei Hong, Siru Ouyang, J. Jon Ryu, Prasanna Sattigeri, Suhas Diggavi, Gregory Wornell 4/7/2026

Decocted Experience Improves Test-Time Inference in LLM Agents

Proposes methods to improve LLM agent performance at test-time without parameter updates by optimizing inference-time computation for complex reasoning tasks.

Ax Gregory N. Frank 4/7/2026

How Alignment Routes: Localizing, Scaling, and Controlling Policy Circuits in Language Models

Identifies sparse routing mechanisms in alignment-trained LLMs using gate and amplifier heads to control refusal behavior, validated across 9 models from 6 labs.

Ax Zhimin Zhao 4/7/2026

Gradual Cognitive Externalization: From Modeling Cognition to Constituting It

Framework analyzing how ambient AI systems through causal user coupling transition from modeling to constituting part of cognitive function.

Ax Poornima Kumaresan, Shwetha Singaravelu, Lakshmi Rajendran, Santhosh Sivasubramani 4/7/2026

Eliminating Vendor Lock-In in Quantum Machine Learning via Framework-Agnostic Neural Networks

Research on framework-agnostic quantum machine learning neural networks to reduce vendor lock-in across QML platforms.

Ax Yiyao Zhang, Diksha Goel, Hussain Ahmad 4/7/2026

Explainable Autonomous Cyber Defense using Adversarial Multi-Agent Reinforcement Learning

Research on autonomous agents using multi-agent reinforcement learning for explainable cyber defense against APT techniques.

Ax Abu Noman Md Sakib, Zhensen Wang, Merjulah Roby, Zijie Zhang 4/7/2026

Empirical Characterization of Rationale Stability Under Controlled Perturbations for Explainable Pattern Recognition

Research on measuring consistency of model explanations across similar inputs using attribution stability metrics for explainable AI systems.

Ax Tianmeng Fang, Yong Wang, Zetai Kong, Zengzhen Su, Jun Wang, Chengjin Yu, Wei Wang 4/7/2026

A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models

Defense framework against backdoor attacks in multimodal LLMs using patch-based cross-view regularization during fine-tuning.

Ax Wei Zhou, Yue Shen, Junkai Ji, Yinglan Feng, Xing Tang, Xiuqiang He, Liang Feng, Zexuan Zhu 4/7/2026

SLSREC: Self-Supervised Contrastive Learning for Adaptive Fusion of Long- and Short-Term User Interests

Self-supervised contrastive learning framework for recommendation systems fusing long-term and short-term user interest patterns.

Ax Gitte Kremling, Jeffrey N\"af, Johannes Lederer 4/7/2026

Generative Modeling under Non-Monotonic MAR Missingness via Approximate Wasserstein Gradient Flows

FLOWGEM: Iterative generative method using Wasserstein gradient flows for data imputation with non-monotone missingness patterns.

Ax C\'esar Guedes Carneiro, Lucas Alvarenga, Guido Araujo, Sandro Rigo 4/7/2026

LP-GEMM: Integrating Layout Propagation into GEMM Operations

Optimization technique integrating layout propagation into GEMM operations to reduce memory overhead in sequential matrix multiplications for ML workloads.

Ax Gen Zu, Ning Mao, Claudia Felser, Yang Zhang 4/7/2026

Interpretation of Crystal Energy Landscapes with Kolmogorov-Arnold Networks

Kolmogorov-Arnold Networks applied to interpret crystalline energy landscapes for physics-informed property prediction with improved explainability.

Ax Zhenhang Shang, Kani Chen 4/7/2026

Fine-Tuning Integrity for Modern Neural Networks: Structured Drift Proofs via Norm, Rank, and Sparsity Certificates

Fine-tuning integrity verification for neural networks using norm, rank, and sparsity certificates to detect backdoors and unauthorized changes.

Ax Vinod Vaikuntanathan, Or Zamir 4/7/2026

Undetectable Conversations Between AI Agents via Pseudorandom Noise-Resilient Key Exchange

Protocol enabling two AI agents to conduct secret conversations while producing transcripts indistinguishable from normal interaction.

Ax Chenxi Wang, Zhuoyun Yu, Xin Xie, Wuguannan Yao, Runnan Fang, Shuofei Qiao, Kexin Cao, Guozhou Zheng, Xiang Qi, Peng Zhang, Shumin Deng 4/7/2026

SkillX: Automatically Constructing Skill Knowledge Bases for Agents

SkillX framework automatically constructs reusable skill knowledge bases for LLM agents, enabling efficient learning and generalization across tasks.

Ax Mateusz Papierz, Asel Sagingalieva, Alix Benoit, Toni Ivas, Elia Iseli, Alexey Melnikov 4/7/2026

Hybrid Fourier Neural Operator for Surrogate Modeling of Laser Processing with a Quantum-Circuit Mixer

Hybrid quantum-classical Fourier Neural Operator for surrogate modeling of laser processing in PDE solvers.

Ax Kairui Ding 4/7/2026

A Robust SINDy Autoencoder for Noisy Dynamical System Identification

Sparse identification of nonlinear dynamics with autoencoder for discovering system equations from noisy data.

Ax Yuhang Zhou, Lizhu Zhang, Yifan Wu, Jiayi Liu, Xiangjun Fan, Zhuokai Zhao, Hong Yan 4/7/2026

Synthetic Sandbox for Training Machine Learning Engineering Agents

Synthetic sandbox environment for training ML engineering agents that can handle expensive ML verification tasks via fast mock pipelines.

Ax Hengrui Gu, Xiaotian Han, Yujing Bian, Kaixiong Zhou 4/7/2026

Rethinking Exploration in RLVR: From Entropy Regularization to Refinement via Bidirectional Entropy Modulation

Improves exploration in reinforcement learning with verifiable rewards for LLMs using bidirectional entropy modulation instead of standard regularization.

Ax LM-Provers, Yuxiao Qu, Amrith Setlur, Jasper Dekoninck, Edward Beeching, Jia Li, Ian Wu, Lewis Tunstall, Aviral Kumar 4/7/2026

QED-Nano: Teaching a Tiny Model to Prove Hard Theorems

QED-Nano trains small neural networks to prove mathematical theorems, enabling reproducible and efficient theorem-proving without large models.

Ax Mohammad Zangooei, Jannis Weil, Amr Rizk, Mina Tahmasbi Arashloo, Raouf Boutaba 4/7/2026

Analyzing Symbolic Properties for DRL Agents in Systems and Networking

Verification and analysis of symbolic properties in deep reinforcement learning agents for systems and networking tasks.

Ax Parsa Hosseini, Sumit Nawathe, Mahdi Salmani, Meisam Razaviyayn, Soheil Feizi 4/7/2026

Early Stopping for Large Reasoning Models via Confidence Dynamics

Method for early stopping in large language model reasoning by analyzing confidence dynamics to reduce computational cost without degrading performance.

Ax Farzane Aminmansour, Taher Jafferjee, Ehsan Imani, Erin Talvitie, Micheal Bowling, Martha White 4/7/2026

Mitigating Value Hallucination in Dyna Planning via Multistep Predecessor Models

Addresses value hallucination in Dyna-style reinforcement learning agents by using multistep predecessor models to improve model-based RL.

Ax Daniele Zambon, Andrea Cini, Cesare Alippi 4/7/2026

Graph State-Space Models and Latent Relational Inference

State-space models with relational inductive biases for multivariate time series prediction using graph structures.

Ax Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He 4/7/2026

Neural Exploitation and Exploration of Contextual Bandits

Neural networks applied to contextual multi-armed bandits, comparing epsilon-greedy, Thompson Sampling, and UCB techniques for exploration-exploitation trade-offs.

Ax Kayhan Behdin, Wenyu Chen, Rahul Mazumder 4/7/2026

Sparse Gaussian Graphical Models with Discrete Optimization: Computational and Statistical Perspectives

GraphL0BnB learns sparse precision matrices in Gaussian graphical models using discrete optimization with ℓ0 penalties.

Ax Mengchu Li, Ye Tian, Yang Feng, Yi Yu 4/7/2026

Federated Transfer Learning with Differential Privacy

Federated transfer learning framework addressing data heterogeneity and privacy across distributed sites using differential privacy.

Ax M. Rostami, S. S. Kia 4/7/2026

FedScalar: Federated Learning with Scalar Communication for Bandwidth-Constrained Networks

FedScalar reduces federated learning communication overhead by encoding high-dimensional updates as two scalar values per agent per round.

Ax Gavin Kerrigan, Kai Nelson, Padhraic Smyth 4/7/2026

EventFlow: Forecasting Temporal Point Processes with Flow Matching

EventFlow uses flow matching to forecast temporal point processes with irregular event intervals, improving on autoregressive neural approaches.

Ax Ricardo Gama, Ricardo Cunha, Daniel Fuertes, Carlos R. del-Blanco, Hugo L. Fernandes 4/7/2026

Multi-Agent Environments for Vehicle Routing Problems

Open-source RL framework for vehicle routing problems, extending reinforcement learning to discrete optimization in operations research.

Ax Zhouxing Shi, Haoyu Li, Cho-Jui Hsieh, Huan Zhang 4/7/2026

Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control

Framework for training verifiably Lyapunov-stable neural controllers using branch-and-bound certified training within region-of-attraction.

Ax Cen-You Li, Marc Toussaint, Barbara Rakitsch, Christoph Zimmer 4/7/2026

Amortized Safe Active Learning for Real-Time Data Acquisition: Pretrained Neural Policies From Simulated Nonparametric Functions

Safe active learning method using amortized neural policies for real-time data acquisition with safety constraints, replacing repeated GP updates.