Ax Yan Zhang, Daiqing Wu, Huawen Shen, Yu Zhou, Can Ma 5/7/2026

Learn where to Click from Yourself: On-Policy Self-Distillation for GUI Grounding

On-policy self-distillation for GUI grounding in autonomous agents, improving performance with dense signals without expensive rollouts.

Ax Bing Han, Feifei Zhao, Wenxuan Pan, Zhuoya Zhao, Xianqi Li, Qingqun Kong, Yi Zeng 5/7/2026

Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks

Brain-inspired continual learning algorithm for spiking neural networks that adaptively reorganizes neural pathways across multiple tasks.

Ax Yifei Li, Erik-Jan van Kampen 5/7/2026

Deep deterministic policy gradient with symmetric data augmentation for lateral attitude tracking control of a fixed-wing aircraft

Deep deterministic policy gradient with symmetric data augmentation for sample-efficient offline reinforcement learning in aircraft control.

Ax Karthik Soma, Yann Bouteiller, Heiko Hamann, Giovanni Beltrame 5/7/2026

The Hive Mind is a Single Reinforcement Learning Agent

Equivalence between collective decision-making and reinforcement learning through analysis of honey bee nest-hunting behavior.

Ax Miaomiao Li, Hao Chen, Yang Wang, Tingyuan Zhu, Weijia Zhang, Kaijie Zhu, Kam-Fai Wong, Jindong Wang 5/7/2026

Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks

Study on bias inheritance in LLM-based synthetic data augmentation, showing how models amplify training data biases in downstream tasks.

Ax Haiqin Cui, Yifu Yuan, Yan Zheng, Jianye Hao 5/7/2026

AhaRobot: A Low-Cost Open-Source Bimanual Mobile Manipulator for Embodied AI

AhaRobot: low-cost open-source bimanual mobile manipulator for embodied AI and vision-language-action model training.

Ax Noah Amsel, David Persson, Christopher Musco, Robert M. Gower 5/7/2026

The Polar Express: Optimal Matrix Sign Methods and Their Application to the Muon Algorithm

GPU-friendly algorithms for polar decomposition and matrix sign functions applied to the Muon optimizer for deep neural network training.

Ax Jiaru Zhang, Juanwu Lu, Xiaoyu Wu, Ziran Wang, Ruqi Zhang 5/7/2026

Accelerating Inference of Discrete Autoregressive Normalizing Flows by Selective Jacobi Decoding

Selective Jacobi decoding to accelerate inference in discrete autoregressive normalizing flows, improving speed of generative models.

Ax Mehul Bafna, Siddhant anand Jadhav, David Sweet 5/7/2026

Taking the GP Out of the Loop

Scaling Bayesian optimization to many observations by replacing Gaussian process surrogates with more scalable alternatives.

Ax Yi Ru Wang, Carter Ung, Christopher Tan, Grant Tannert, Jiafei Duan, Josephine Li, Anh Le, Rishabh Oswal, Markus Grotz, Wilbert Pumacay, Yuquan Deng, Ranjay Krishna, Dieter Fox, Siddhartha Srinivasa 5/7/2026

RoboEval: Where Robotic Manipulation Meets Structured and Scalable Evaluation

RoboEval: structured evaluation framework and benchmark for robotic manipulation with behavioral and outcome metrics beyond binary success.

Ax Lishui Fan, Yu Zhang, Mouxiang Chen, Zhongxin Liu 5/7/2026

ReCode: Reinforcing Code Generation with Reasoning-Process Rewards

ReCode: reinforcement learning method for code generation using reasoning-process rewards to improve correctness and reasoning quality.

Ax Kai Yao, Marc Juarez 5/7/2026

SPRINT: Robust Model Attribution of Generated Images via Secret Pixel Reconstruction

SPRINT: fingerprinting technique to detect source models of AI-generated images and defend against adaptive attacks on model attribution.

Ax Arshia Akhavan, Alireza Hoseinpour, Abbas Heydarnoori, Hamid Bagheri, Mehdi Keshani 5/7/2026

LinkAnchor: An Autonomous LLM-Based Agent for Issue-to-Commit Link Recovery

LinkAnchor: autonomous LLM-based agent for recovering issue-to-commit links in GitHub repositories to improve software traceability.

Ax Marco Edoardo Palma, Pooja Rani, Harald C. Gall 5/7/2026

Multi Language Models for On-the-Fly Syntax Highlighting

Approach using multi-language models for real-time syntax highlighting in web-based development tools with strict latency and memory constraints.

Ax Khang Ngo, Siamak Ravanbakhsh 5/7/2026

Scaling Laws and Symmetry, Evidence from Neural Force Fields

Empirical study showing equivariant architectures demonstrate better power-law scaling than non-equivariant models for learning interatomic potentials.

Ax Jackson Hassell, Dan Zhang, Hannah Kim, Tom Mitchell, Estevam Hruschka 5/7/2026

Learning from Supervision with Semantic and Episodic Memory: A Reflective Approach to Agent Adaptation

Memory-augmented framework enabling LLM agents to learn from labeled examples without parameter updates using episodic and semantic memory.

Ax Bo Bai 5/7/2026

Forget BIT, It is All about TOKEN: Towards Semantic Information Theory for LLMs

Theoretical framework proposing semantic information theory for LLMs as alternative to bit-based information theory, addressing foundational understanding.

Ax Hanchen Li, Runyuan He, Qiuyang Mang, Qizheng Zhang, Huanzhi Mao, Xiaokun Chen, Hangrui Zhou, Alvin Cheung, Joseph Gonzalez, Ion Stoica 5/7/2026

Continuum: Efficient and Robust Multi-Turn LLM Agent Scheduling with KV Cache Time-to-Live

System for efficient multi-turn LLM agent scheduling using KV cache time-to-live to enable cache reuse across interleaved tool calls.

Ax Junichiro Niimi 5/7/2026

Hierarchical Memorization in Large Language Models: Evidence from Citation Generation

Analysis of how LLMs internally structure memorized training data using citation generation as proxy, examining hierarchical memorization patterns.

Ax Friederike Groschupp, Daniele Lain, Aritra Dhar, Lara Magdalena Lazier, Srdjan \v{C}apkun 5/7/2026

Can LLMs Make (Personalized) Access Control Decisions?

Study evaluating LLM capability for personalized access control decisions in applications and agent-based systems to reduce user cognitive burden.

Ax Prakhar Gupta, Vaibhav Gupta 5/7/2026

Bootstrapped Mixed Rewards for RL Post-Training: Injecting Canonical Action Order

RL post-training approach using bootstrapped mixed rewards and canonical action order hints to improve Transformer performance on structured problems.

Ax Pius Horn, Janis Keuper 5/7/2026

Benchmarking Document Parsers on Mathematical Formula Extraction from PDFs

Benchmarking framework for evaluating PDF document parsers on mathematical formula extraction using synthetically generated test PDFs with LaTeX ground truth.

Ax Ignacio Heredia, \'Alvaro L\'opez Garc\'ia, Fernando Aguilar G\'omez, Diego Aguirre, Caterina Alarc\'on Mar\'in, Khadijeh Alibabaei, Lisana Berberi, Miguel Caballer, Amanda Calatrava, Pedro Castro, Alessandro Costantini, Mario David, Jaime D\'iez Stefan Dlugolinsky, Borja Esteban Sanchis, Giacinto Donvito, Leonhard Duda, Sa\'ul Fernandez, Andr\'es Heredia Canales, Valentin Kozlov, Sergio Langarita, Jo\~ao Machado, Germ\'an Molt\'o, Daniel San Mart\'in, Martin \v{S}eleng, Giang Nguyen, Marcin P{\l}\'ociennik, Marta Obreg\'on Ruiz, Susana Rebolledo Ruiz, Vicente Rodriguez, Judith S\'ainz-Pardo D\'iaz, Viet Tran 5/7/2026

AI4EOSC: a Federated Cloud Platform for Artificial Intelligence in Scientific Research

Open-source federated platform for operationalizing AI/ML lifecycle in scientific research with FAIR principles and MLOps tooling.

Ax Binh Vu 5/7/2026

Intelligent Knowledge Mining Framework: Bridging AI Analysis and Trustworthy Preservation

Framework for intelligent knowledge mining from disparate data sources using AI analysis with emphasis on trustworthy data preservation and integration.

Ax Karolina Dro\.zd\.z, Kacper Dudzic, Anna Sterna, Marcin Moskalewicz 5/7/2026

Patterns vs. Patients: Evaluating LLMs against Mental Health Professionals on Personality Disorder Diagnosis through First-Person Narratives

Case study comparing LLM performance to mental health professionals on personality disorder diagnosis from Polish-language patient narratives.

Ax Xudong Ling, Chaorong Li, Tianxi Huang, Qian Dong, Guiduo Duan 5/7/2026

LangPrecip: Language-Aware Multimodal Precipitation Nowcasting

Multimodal framework combining meteorological text with visual data for short-term precipitation nowcasting using language-aware constraints.

Ax Mingzhe Lu, Yiwen Wang, Yanbing Liu, Qi You, Chong Liu, Ruize Qin, Haoyu Dong, Wenyu Zhang, Jiarui Zhang, Yue Hu, Yunpeng Li 5/7/2026

LitVISTA: A Benchmark for Narrative Orchestration in Literary Text

Benchmark dataset (LitVISTA) for evaluating LLM narrative structure and story arcs in literary text generation versus human narratives.

Ax Jun-Qi Chen, Kun Zhang, Rui Zheng, Ying Zhong 5/7/2026

Mechanism-Faithful Queueing Simulation Model Translation with Large Language Model Support

LLM-supported framework for translating conceptual queueing system descriptions into verified executable simulation programs with mechanism fidelity checking.

Ax David Szczecina, Hudson Sun, Anthony Bertnyk, Niloofar Azad, Kyle Gao, Lincoln Linlin Xu 5/7/2026

Sparse Data Tree Canopy Segmentation: Fine-Tuning Leading Pretrained Models on Only 150 Images

Benchmark for tree canopy segmentation from aerial imagery using fine-tuned pretrained models on small dataset of 150 annotated images.

Ax Ali Al-Lawati, Suhang Wang 5/7/2026

Do Multimodal RAG Systems Leak Data? A Comprehensive Evaluation of Membership Inference and Image Caption Retrieval Attacks

Privacy evaluation of multimodal RAG systems through membership inference and caption retrieval attacks on vision-centric tasks.

Ax Shan Yang, Yang Liu 5/7/2026

Descent-Guided Policy Gradient for Scalable Cooperative Multi-Agent Learning

Research on scaling cooperative multi-agent reinforcement learning by addressing cross-agent noise in shared reward signals, relevant to differentiable systems.

Ax Junchen Liu, Sven Elflein, Or Litany, Zan Gojcic, Ruilong Li 5/7/2026

Test-Time Training with KV Binding Is Secretly Linear Attention

Analysis showing test-time training with KV binding is equivalent to learned linear attention, reinterpreting online meta-learning.

Ax Yu Zhang, Songwei Liu, Chenqian Yan, Sheng Lin, Beichen Ning, Fangmin Chen, Xing Wang 5/7/2026

S2O: Early Stopping for Sparse Attention via Online Permutation

Sparse attention mechanism using online permutation and early stopping to improve long-context LLM inference efficiency.

Ax Hung Tran, Langston Nashold, Rayan Krishnan, Antoine Bigeard, Alex Gu 5/7/2026

Vibe Code Bench: Evaluating AI Models on End-to-End Web Application Development

Benchmark with 100 web app specifications and 10K+ substeps for evaluating AI code generation on end-to-end development tasks.

Ax Naifan Zhang, Ruihan Sun, Jinwei Su, Hengjie Yang, Zhengyuan Pan, Zhaohan Chen, Xiaofan Zhang 5/7/2026

MICA: Multi-granularity Intertemporal Credit Assignment for Long-Horizon Emotional Support Dialogue

Multi-granularity credit assignment method for reinforcement learning on multi-turn emotional support dialogue with sparse rewards.

Ax Gaia A. Bertolino, Yuwei Zhang, Tong Xia, Domenico Talia, Cecilia Mascolo 5/7/2026

RAMoEA-QA: Hierarchical Specialization for Robust Respiratory Audio Question Answering

Hierarchical specialization approach for respiratory audio question answering in healthcare conversational AI.

Ax Hyunji Nam, Haoran Li, Natasha Jaques 5/7/2026

Maximizing mutual information between prompts and responses improve LLM personalization with no additional data or human oversight

Self-improvement framework maximizing mutual information between prompts and responses for LLM personalization without additional labeled data.

Ax Tianyi Huang, Nathan Huang, Justin Tang, Wenqian Chen, Elsa Fan 5/7/2026

Permutation-Consensus Listwise Judging for Robust Factuality Evaluation

Method for improving LLM factuality evaluation robustness by reducing candidate-order sensitivity through permutation consensus.

Ax Konstantinos Papaioannou, Thaleia Dimitra Doudali 5/7/2026

TCM-Serve: Modality-aware Scheduling for Multimodal Large Language Model Inference

Modality-aware scheduler for multimodal LLM inference reducing latency and memory contention from heterogeneous workloads.

Ax Xue Qin, Simin Luan, John See, Cong Yang, Zhijun Li 5/7/2026

AEROS: A Single-Agent Operating Architecture with Embodied Capability Modules

Single-agent robotic architecture organizing intelligence through embodied capability modules with unified identity and control.

Ax Leonard B\"armann, Joana Plewnia, Alex Waibel, Tamim Asfour 5/7/2026

Learning to Forget -- Hierarchical Episodic Memory for Lifelong Robot Deployment

Hierarchical episodic memory framework enabling humanoid robots to learn selective memory retention based on user-defined relevance.

Ax Yubai Wei, Chen Wu, Hashem Haghbayan 5/7/2026

Can Explicit Physical Feasibility Benefit VLA Learning? An Empirical Study

Empirical study evaluating whether explicit physical feasibility constraints improve vision-language-action robot policy learning.

Ax Hongyao Liu, Liuqun Zhai, Junyi Wang, Zhengru Fang 5/7/2026

SparKV: Overhead-Aware KV Cache Loading for Efficient On-Device LLM Inference

Framework for efficient on-device LLM inference combining cloud KV streaming with local computation to reduce memory and latency overhead.

Ax Griffin Pitts, Muntasir Hoq, Peter Brusilovsky, Narges Norouzi, Arto Hellas, Juho Leinonen, Bita Akram 5/7/2026

Personalized Worked Example Generation from Student Code Submissions Using Pattern-based Knowledge Components

LLM-based system generating personalized worked examples from student code submissions to address specific logical errors.

Ax Xue Qin, Simin Luan, John See, Zeyd Boukhers, Cong Yang, Zhijun Li 5/7/2026

Atomic-Probe Governance for Skill Updates in Compositional Robot Policies

Framework for analyzing and updating skill libraries in robotic systems during deployment through paired-sampling protocol.

Ax Guang Yang, Xing Hu, Xiang Chen, Xin Xia 5/7/2026

From Mirage to Grounding: Towards Reliable Multimodal Circuit-to-Verilog Code Generation

Multimodal LLM approach for translating circuit diagrams into Verilog code, addressing reliability and safety-critical hardware design translation.

Ax Daniel Zhu, Zihan Wang, Xuchan Bao, Jerry Wei 5/7/2026

Jailbroken Frontier Models Retain Their Capabilities

Analysis showing advanced jailbreaks on frontier LLMs scale with model capability and increasingly impose minimal performance degradation ('jailbreak tax').

Ax Sheng Ran 5/7/2026

Endogenous Regime Switching Driven by Scalar-Irreducible Learning Dynamics

Framework for endogenous regime switching in machine learning using scalar-irreducible dynamics to enable autonomous intelligence without external transitions.

Ax JiangBo Zhao, ZhaoXin Liu 5/7/2026

A Self-Attentive Meta-Optimizer with Group-Adaptive Learning Rates and Weight Decay

MetaAdamW: Adaptive optimizer with self-attention mechanism to dynamically modulate per-group learning rates and weight decay across heterogeneous parameter groups.

Ax Takayuki Komatsu, Yoshiyuki Ohmura, Yasuo Kuniyoshi 5/7/2026

Transformation Categorization Based on Group Decomposition Theory Using Parameter Division

Study of unsupervised transformation categorization using group decomposition theory to define 'good' representations beyond classical independent factor disentanglement.