Ax Hanjing Wang, S. Mostafa Mousavi, Patrick Robertson, Richard M. Allen, Alexie Barski, Robert Bosch, Nivetha Thiruverahan, Youngmin Cho, Tajinder Gadh, Steve Malkos, Boone Spooner, Greg Wimpey, Marc Stogaitis 3/25/2026

Leveraging LLMs and Social Media to Understand User Perception of Smartphone-Based Earthquake Early Warnings

Analyzes user perception of Android's Earthquake Alert system using LLMs on social media data from 2025 Türkiye earthquake.

Ax Samya Acharja, Kanchan Chowdhury 3/25/2026

Natural Language Interfaces for Spatial and Temporal Databases: A Comprehensive Overview of Methods, Taxonomy, and Future Directions

Surveys natural language interfaces to spatial and temporal databases, covering methods and taxonomy for NLIDBs with geospatial data.

Ax Michal Balcerak, Suprosana Shit, Chinmay Prabhakar, Sebastian Kaltenbach, Michael S. Albergo, Yilun Du, Bjoern Menze 3/25/2026

Graph Energy Matching: Transport-Aligned Energy-Based Modeling for Graph Generation

Proposes energy-based modeling for discrete graph generation using transport-aligned sampling to improve efficiency and quality.

Ax Zixiang Jiang, Yulun Zhang, Rishi Veerapaneni, Jiaoyang Li 3/25/2026

Planning over MAPF Agent Dependencies via Multi-Dependency PIBT

Extends Priority Inheritance with Backtracking (PIBT) algorithm for multi-agent path finding with multiple dependencies in congested environments.

Ax Yiqi Zhang, Huiqiang Jiang, Xufang Luo, Zhihe Yang, Chengruidong Zhang, Yifei Shen, Dongsheng Li, Yuqing Yang, Lili Qiu, Yang You 3/25/2026

SortedRL: Accelerating RL Training for LLMs through Online Length-Aware Scheduling

Proposes SortedRL, a length-aware scheduling method to accelerate RL training for LLMs, reducing rollout bottleneck in long chain-of-thought generation.

Ax Teerthaa Parakh, Karen M. Feigh 3/25/2026

Biased Error Attribution in Multi-Agent Human-AI Systems Under Delayed Feedback

Examines how humans attribute errors in multi-agent AI systems under delayed feedback, revealing biases in decision-making across sequential steps.

Ax Islam Debicha, Tayeb Kenaza, Ishak Charfi, Salah Mosbah, Mehdi Sehaki, Jean-Michel Dricot 3/25/2026

Targeted Adversarial Traffic Generation : Black-box Approach to Evade Intrusion Detection Systems in IoT Networks

Studies practical adversarial attack feasibility against ML-based IoT intrusion detection systems, addressing implementation constraints.

Ax Sabaat Haroon, Mohammad Taha Khan, Muhammad Ali Gulzar 3/25/2026

Evaluating LLM-Based Test Generation Under Software Evolution

Evaluates whether LLM-generated tests reflect genuine program understanding or superficial pattern reproduction, examining behavior under software evolution.

Ax Yiping Chen, Jinpeng Li, Wenyu Ke, Yang Luo, Jie Ouyang, Zhongjie He, Li Liu, Hongchao Fan, Hao Wu 3/25/2026

3DCity-LLM: Empowering Multi-modality Large Language Models for 3D City-scale Perception and Understanding

Proposes 3DCity-LLM, a multimodal LLM framework for 3D city-scale perception using coarse-to-fine feature encoding across object, relational, and global contexts.

Ax Yuntong Zhang, Zhiyuan Pan, Imam Nur Bani Yusuf, Haifeng Ruan, Ridwan Shariffdeen, Abhik Roychoudhury 3/25/2026

Code Review Agent Benchmark

Introduces benchmark dataset and evaluation framework for code review agents, addressing code quality assurance as AI-generated code scales.

Ax Haoran Yuan, Weigang Yi, Zhenyu Zhang, Wendi Chen, Yuchen Mo, Jiashi Yin, Xinzhuo Li, Xiangyu Zeng, Chuan Wen, Cewu Lu, Katherine Driggs-Campbell, Ismini Lourentzou 3/25/2026

VTAM: Video-Tactile-Action Models for Complex Physical Interaction Beyond VLAs

Proposes VTAM, extending video-action models for embodied AI with tactile sensing for contact-rich physical interactions beyond vision-only approaches.

Ax Muhammad Khalid, Manuel Oriol, Yilmaz Uygun 3/25/2026

ReqFusion: A Multi-Provider Framework for Automated PEGS Analysis Across Software Domains

ReqFusion integrates multiple LLM providers (GPT, Claude, Groq) to automate software requirements extraction, classification, and analysis.

Ax Sagar Kumar, Ariel Flint, Luca Maria Aiello, Andrea Baronchelli 3/25/2026

Failure of contextual invariance in gender inference with large language models

Shows LLMs produce unstable outputs on gender inference tasks under minimal context variations, revealing dependence on cultural stereotypes in training data.

Ax Adrian Bulat, Alberto Baldrati, Ioannis Maniadis Metaxas, Yassine Ouali, Georgios Tzimiropoulos 3/25/2026

VISion On Request: Enhanced VLLM efficiency with sparse, dynamically selected, vision-language interactions

Proposes VISOR, a method to reduce inference costs in large vision-language models through dynamic, sparse vision-language interactions without information bottlenecks.

Ax Ufaq Khan, Umair Nawaz, L D M S S Teja, Numaan Saeed, Muhammad Bilal, Yutong Xie, Mohammad Yaqub, Muhammad Haris Khan 3/25/2026

MedObvious: Exposing the Medical Moravec's Paradox in VLMs via Clinical Triage

Evaluates Vision Language Models' ability to perform pre-diagnostic sanity checks in medical imaging, identifying gaps between fluent text generation and safe visual understanding.

Ax Cecil Pang 3/25/2026

Toward Data Systems That Are Business Semantic Centric and AI Agents Assisted

BSDS system architecture integrating AI agents with data platforms for business-semantic-centric decision-making and workflows.

Ax Dadi Guo, Tianyi Zhou, Dongrui Liu, Chen Qian, Qihan Ren, Shuai Shao, Zhiyuan Fan, Yi R. Fung, Kun Wang, Linfeng Zhang, Jing Shao 3/25/2026

Towards Self-Evolving Benchmarks: Synthesizing Agent Trajectories via Test-Time Exploration under Validate-by-Reproduce Paradigm

TRACE framework for self-evolving agent benchmarks that dynamically increase difficulty using test-time exploration and validation.

Ax Nan Huo, Xiaohan Xu, Jinyang Li, Per Jacobsson, Shipei Lin, Bowen Qin, Binyuan Hui, Xiaolong Li, Ge Qu, Shuzheng Si, Linheng Han, Edward Alexander, Xintong Zhu, Rui Qin, Ruihan Yu, Yiyao Jin, Feige Zhou, Weihao Zhong, Yun Chen, Hongyu Liu, Chenhao Ma, Fatma Ozcan, Yannis Papakonstantinou, Reynold Cheng 3/25/2026

BIRD-INTERACT: Re-imagining Text-to-SQL Evaluation for Large Language Models via Lens of Dynamic Interactions

BIRD-INTERACT benchmark evaluating LLMs on multi-turn text-to-SQL tasks with dynamic interactions and error handling.

Ax Raj Ghugare, Roger Creus Castanyer, Catherine Ji, Kathryn Wantlin, Jin Schofield, Karthik Narasimhan, Benjamin Eysenbach 3/25/2026

BuilderBench: The Building Blocks of Intelligent Agents

BuilderBench benchmark for evaluating AI agents' ability to learn through exploration and interaction beyond training data patterns.

Ax Yue Zhong, Yongju Tong, Jiawen Kang, Minghui Dai, Hong-Ning Dai, Zhou Su, Dusit Niyato 3/25/2026

Hybrid Stackelberg Game and Diffusion-based Auction for Two-tier Agentic AI Task Offloading in Internet of Agents

Hybrid Stackelberg game and diffusion-based auction mechanism for task offloading among collaborative AI agents in Internet of Agents.

Ax Abhishek Kumar, Riya Tapwal, Carsten Maple 3/25/2026

DriveSafe: A Hierarchical Risk Taxonomy for Safety-Critical LLM-Based Driving Assistants

Domain-specific risk taxonomy and evaluation framework for LLM-based driving assistants addressing safety-critical scenarios.

Ax Zeping Li, Hongru Wang, Yiwen Zhao, Guanhua Chen, Yixia Li, Keyang Chen, Yixin Cao, Guangnan Ye, Hongfeng Chai, Zhenfei Yin 3/25/2026

Rethinking the Role of Entropy in Optimizing Tool-Use Behaviors for Large Language Model Agents

Entropy-based analysis shows reducing entropy improves tool-use behavior in LLM agents, reducing excessive tool calls and latency.

Ax Xun Huang, Simeng Qin, Xiaoshuang Jia, Ranjie Duan, Huanqian Yan, Zhitao Zeng, Fei Yang, Yang Liu, Xiaojun Jia 3/25/2026

Obscure but Effective: Classical Chinese Jailbreak Prompt Optimization via Bio-Inspired Search

Classical Chinese jailbreak prompts bypass LLM safety constraints more effectively than English due to obscurity and conciseness.

Ax Hyungyung Lee, Hangyul Yoon, Edward Choi 3/25/2026

CXReasonAgent: Evidence-Grounded Diagnostic Reasoning Agent for Chest X-rays

Evidence-grounded diagnostic reasoning agent using vision-language models for chest X-ray interpretation.

Ax Sivaram Pothireddypalli, Ashish Raman, Deepak Narayan Gadde, Aman Kumar 3/25/2026

Agentic AI-based Coverage Closure for Formal Verification

LLM-enabled agentic workflow automating coverage analysis and gap identification for IC formal verification.

Ax Kenny Ye Liang, Zhongyi Pei, Huan Zhang, Yuhui Liu, Shaoxu Song, Jianmin Wang 3/25/2026

Retrieval-Augmented Generation with Covariate Time Series

Extends RAG paradigm to time-series foundation models for predictive maintenance with covariate dynamics.

Ax Giacomo Rosa, Jean Honorio, Nir Lipovetzky, Sebastian Sardina 3/25/2026

Planning as Goal Recognition: Deriving Heuristics from Intention Models -- Extended Version

Adopts goal recognition heuristics for classical planning problems to improve plan search prioritization.

Ax Davide Di Gioia 3/25/2026

Cascade-Aware Multi-Agent Routing: Spatio-Temporal Sidecars and Geometry-Switching

Multi-agent routing system aware of cascading failures in tree versus cyclic graph topologies with geometry-switching.

Ax Ruixiang Liu, Zhenlong Li, Ali Khosravi Kazazi 3/25/2026

Towards Intelligent Geospatial Data Discovery: a knowledge graph-driven multi-agent framework powered by large language models

Knowledge graph-driven multi-agent LLM framework for semantic geospatial data discovery with improved retrieval.

Ax Sheng Liu, Long Chen, Zeyun Zhao, Qinglin Gou, Qingyue Wei, Arjun Masurkar, Kevin M. Spiegler, Philip Kuball, Stefania C. Bray, Megan Bernath, Deanna R. Willis, Jiang Bian, Lei Xing, Eric Topol, Kyunghyun Cho, Yu Huang, Ruogu Fang, Narges Razavian, James Zou 3/25/2026

Cerebra: A Multidisciplinary AI Board for Multimodal Dementia Characterization and Risk Assessment

Cerebra: multi-agent AI system with specialized agents for EHR, clinical notes, and multimodal data in dementia assessment.

Ax Jonas Oppenlaender, Joonas H\"am\"al\"ainen 3/25/2026

Mapping the Challenges of HCI: An Application and Evaluation of ChatGPT for Mining Insights at Scale

Evaluates ChatGPT (GPT-3.5/4) effectiveness on extracting research challenges from HCI literature at scale using two-step approach.

Ax Yunni Qu (Department of Computer Science, University of North Carolina at Chapel Hill), Bhargav Vaduri (Department of Computer Science, University of North Carolina at Chapel Hill), Karthikeya Jatoth (Department of Computer Science, University of North Carolina at Chapel Hill), James Wellnitz (Eshelman School of Pharmacy, University of North Carolina at Chapel Hill), Dzung Dinh (Department of Computer Science, University of North Carolina at Chapel Hill), Seth Veenbaas (Eshelman School of Pharmacy, University of North Carolina at Chapel Hill), Jonathan Chapman (Eshelman School of Pharmacy, University of North Carolina at Chapel Hill), Alexander Tropsha (Eshelman School of Pharmacy, University of North Carolina at Chapel Hill), Junier Oliva (Department of Computer Science, University of North Carolina at Chapel Hill) 3/25/2026

Reliable OOD Virtual Screening with Extrapolatory Pseudo-Label Matching

Method for reliable out-of-distribution virtual screening in drug discovery using extrapolatory pseudo-label matching.

Ax Xiufang Shi, Wei Zhang, Yuheng Li, Mincheng Wu, Zhenyu Wen, Shibo He, Tejal Shah, Rajiv Ranjan 3/25/2026

Dataset Distillation-based Hybrid Federated Learning on Non-IID Data

HFLDD: hybrid federated learning framework using dataset distillation to handle non-IID data distribution skew.

Ax Dung Thuy Nguyen, Ziyan An, Taylor T. Johnson, Meiyi Ma, Kevin Leach 3/25/2026

LOGSAFE: Logic-Guided Verification for Trustworthy Federated Time-Series Learning

LOGSAFE: logic-guided defense mechanism for federated learning in time-series cyber-physical systems against poisoning attacks.

Ax Younan Zhu, Linwei Tao, Minjing Dong, Chang Xu 3/25/2026

Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration

Attention calibration method to reduce object hallucinations in vision-language models through vision token reordering.

Ax Ekaterina Kochetkova, Kshiteej Sheth, Insu Han, Amir Zandieh, Michael Kapralov 3/25/2026

Streaming Attention Approximation via Discrepancy Theory

BalanceKV: streaming algorithm using discrepancy theory to approximate attention for efficient long-context LLM token generation.

Ax Jooyoung Lee, Xiaochen Zhu, Georgi Karadzhov, Tom Stafford, Andreas Vlachos, Dongwon Lee 3/25/2026

Collaborative Evaluation of Deepfake Text with Deliberation-Enhancing Dialogue Systems

Studies use of deliberation-enhancing chatbot to help groups detect deepfake text through human-AI collaboration.

Ax Kenya Sakka, Kosuke Mitarai, Keisuke Fujii 3/25/2026

Automating quantum feature map design via large language models

Agentic system autonomously generates, evaluates, and refines quantum feature maps for quantum machine learning using LLMs.

Ax Enrico Parisini, Tapabrata Chakraborti, Chris Harbron, Ben D. MacArthur, Christopher R. S. Banerji 3/25/2026

Leakage and Interpretability in Concept-Based Models

Information-theoretic framework to characterize and quantify information leakage in concept-based models for interpretability.

Ax Yiding Shi, Jianan Zhou, Wen Song, Jieyi Bi, Yaoxin Wu, Zhiguang Cao, Jie Zhang 3/25/2026

Generalizable Heuristic Generation Through LLMs with Meta-Optimization

Meta-optimization framework for LLMs to generate generalizable heuristics for combinatorial optimization without manually predefined evolutionary operators.

Ax Zhun Wang, Tianneng Shi, Jingxuan He, Matthew Cai, Jialin Zhang, Dawn Song 3/25/2026

CyberGym: Evaluating AI Agents' Real-World Cybersecurity Capabilities at Scale

CyberGym large-scale benchmark with 1,507 real-world vulnerabilities for evaluating AI agents' dynamic cybersecurity capabilities.

Ax Lorenzo Steccanella, Joshua B. Evans, \"Ozg\"ur \c{S}im\c{s}ek, Anders Jonsson 3/25/2026

Learning The Minimum Action Distance

Learns minimum action distance metric from state trajectories alone to capture environment structure for MDPs without rewards or action labels.

Ax Jiale Ding, Xiang Zheng, Yutao Wu, Cong Wang, Wei-Bin Lee, Ling Pan, Xingjun Ma, Yu-Gang Jiang 3/25/2026

RedTopic: Toward Topic-Diverse Red Teaming of Large Language Models

RedTopic framework for topic-diverse red teaming of LLMs to identify vulnerabilities across broad range of harmful topics adaptively.

Ax Yanzhou Li, Tianlin Li, Yiran Zhang, Shangqing Liu, Aishan Liu, Xianglong Liu, Yang Liu 3/25/2026

From Context to Intent: Reasoning-Guided Function-Level Code Completion

Reasoning-guided LLM function completion using context when docstrings are absent in real-world code repositories.

Ax Xiao Wang, Jia Wang, Yijie Wang, Pengtao Dang, Sha Cao, Chi Zhang 3/25/2026

MARS: toward more efficient multi-agent collaboration for LLM reasoning

MARS proposes efficient multi-agent collaboration framework for LLM reasoning, reducing computational overhead of Multi-Agent Debate while maintaining reasoning capabilities.

Ax Mohamad Al Mdfaa, Svetlana Lukina, Timur Akhtyamov, Arthur Nigmatzyanov, Dmitrii Nalberskii, Sergey Zagoruyko, Gonzalo Ferrer 3/25/2026

VL-KnG: Persistent Spatiotemporal Knowledge Graphs from Egocentric Video for Embodied Scene Understanding

VL-KnG constructs spatiotemporal knowledge graphs from egocentric video using vision-language models for persistent scene understanding without 3D reconstruction.

Ax Nanaka Hosokawa, Ryo Takahashi, Tomoya Kitano, Yukihiro Iida, Chisako Muramatsu, Tatsuro Hayashi, Yuta Seino, Xiangrong Zhou, Takeshi Hara, Akitoshi Katsumata, Hiroshi Fujita 3/25/2026

Generating Findings for Jaw Cysts in Dental Panoramic Radiographs Using a GPT-Based VLM: A Preliminary Study on Building a Two-Stage Self-Correction Loop with Structured Output (SLSO) Framework

Self-correction Loop with Structured Output framework enhances GPT-based VLMs for generating reliable dental radiological findings in medical image interpretation.

Ax Guoqing Wang, Sunhao Dai, Guangze Ye, Zeyu Gan, Wei Yao, Yong Deng, Xiaofeng Wu, Zhenzhe Ying 3/25/2026

Information Gain-based Policy Optimization: A Simple and Effective Approach for Multi-Turn Search Agents

Information Gain-based Policy Optimization uses RL to train LLM agents for multi-turn search with tool use, addressing reward sparsity in exploration-based tasks.

Ax Dongsen Zhang, Zekun Li, Xu Luo, Xuannan Liu, Peipei Li, Wenjun Xu 3/25/2026

MCP Security Bench (MSB): Benchmarking Attacks Against Model Context Protocol in LLM Agents

MCP Security Bench systematically evaluates attacks against Model Context Protocol in LLM agents, measuring resistance of tool-calling systems to adversarial inputs.

Ax Sofiya Garkot, Maksym Shamrai, Ivan Synytsia, Mariya Hirna 3/25/2026

GUIrilla: A Scalable Framework for Automated Desktop UI Exploration

GUIrilla is a scalable framework for automated desktop UI exploration generating large-scale training data for LLM-based GUI understanding and automation.