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.

Ax Fenfen Lin, Yesheng Liu, Haiyu Xu, Chen Yue, Zheqi He, Mingxuan Zhao, Miguel Hu Chen, Jiakang Liu, JG Yao, Xi Yang 3/25/2026

Do Vision-Language Models Measure Up? Benchmarking Visual Measurement Reading with MeasureBench

MeasureBench benchmarks vision-language models on visual measurement reading tasks with real-world and synthesized instrument images.

Ax Alina Fastowski, Bardh Prenkaj, Yuxiao Li, Gjergji Kasneci 3/25/2026

Injecting Falsehoods: Adversarial Man-in-the-Middle Attacks Undermining Factual Recall in LLMs

Xmera framework evaluates adversarial man-in-the-middle attacks on LLM factual recall through prompt injection, measuring vulnerability of question-answering systems.

Ax Zhanheng Nie, Chenghan Fu, Daoze Zhang, Junxian Wu, Wanxian Guan, Pengjie Wang, Jian Xu, Bo Zheng 3/25/2026

MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding

MOON2.0 addresses multimodal imbalance in MLLMs for e-commerce product understanding through dynamic modality-balanced representation learning.

Ax Jiajun Zhang, Shijia Luo, Ruikang Zhang, Qi Su 3/25/2026

HUMORCHAIN: Theory-Guided Multi-Stage Reasoning for Interpretable Multimodal Humor Generation

HumorChain: Theory-guided multi-stage reasoning framework for interpretable multimodal humor generation using LLMs.

Ax Yerim Jeon, Miso Lee, WonJun Moon, Jae-Pil Heo 3/25/2026

Masking Matters: Unlocking the Spatial Reasoning Capabilities of LLMs for 3D Scene-Language Understanding

Study on spatial reasoning in LLMs for 3D scene understanding, examining attention masking mechanisms for order-agnostic objects.

Ax Haicheng Liao, Huanming Shen, Bonan Wang, Yongkang Li, Yihong Tang, Chengyue Wang, Dingyi Zhuang, Kehua Chen, Hai Yang, Chengzhong Xu, Zhenning Li 3/25/2026

Think Before You Drive: World Model-Inspired Multimodal Grounding for Autonomous Vehicles

ThinkDeeper: Framework for autonomous vehicle grounding using world models for 3D spatial reasoning and scene prediction.

Ax Chenyu Zhang, Lanjun Wang, Yiwen Ma, Wenhui Li, Yi Tu, An-An Liu 3/25/2026

Metaphor-based Jailbreak Attacks on Text-to-Image Models

Research on metaphor-based jailbreak attacks against text-to-image models' safety defense mechanisms.

Ax Yu He, Da Huang, Zhenyang Liu, Zixiao Gu, Qiang Sun, Guangnan Ye, Yanwei Fu, Yu-Gang Jiang 3/25/2026

Schr\"odinger's Navigator: Imagining an Ensemble of Futures for Zero-Shot Object Navigation

Zero-shot object navigation for robots using ensemble prediction of future states in unseen, cluttered environments.

Ax Bhanu Prakash Vangala, Ali Adibifar, Ashish Gehani, Tanu Malik 3/25/2026

AI-Generated Code Is Not Reproducible (Yet): An Empirical Study of Dependency Gaps in LLM-Based Coding Agents

Empirical study examining reproducibility gaps in code generated by LLM coding agents and missing dependency specifications.

Ax Guanyuan Pan, Shuai Wang, Yugui Lin, Tiansheng Zhou, Pietro Li\`o, Zhenxin Zhao, Yaqi Wang 3/25/2026

VLM-CAD: VLM-Optimized Collaborative Agent Design Workflow for Analog Circuit Sizing

VLM-CAD: Collaborative agent design workflow for analog circuit sizing using vision-language models with spatial reasoning.

Ax Arjun Nichani (Richard), Hsiang Hsu (Richard), Chun-Fu (Richard), Chen, Haewon Jeong 3/25/2026

Does Privacy Always Harm Fairness? Data-Dependent Trade-offs via Chernoff Information Neural Estimation

Information-theoretic analysis of trade-offs between fairness, privacy, and accuracy in machine learning using Chernoff Information.

Ax Xinlei Yin, Xiulian Peng, Xiao Li, Zhiwei Xiong, Yan Lu 3/25/2026

Hierarchical Long Video Understanding with Audiovisual Entity Cohesion and Agentic Search

HAVEN: Framework for long-video understanding using agentic search and audiovisual entity cohesion to maintain global coherence.

Ax Zhiyu An, Wan Du 3/25/2026

Representational Homomorphism Predicts and Improves Compositional Generalization In Transformer Language Model

Analysis of representational homomorphism in transformers to predict and improve compositional generalization in language models.

Ax Wenxuan Huang, Yu Zeng, Qiuchen Wang, Zhen Fang, Shaosheng Cao, Zheng Chu, Qingyu Yin, Shuang Chen, Zhenfei Yin, Lin Chen, Zehui Chen, Xu Tang, Yao Hu, Shaohui Lin, Philip Torr, Feng Zhao, Wanli Ouyang 3/25/2026

Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models

Vision-DeepResearch: Framework augmenting multimodal LLMs with tool-calling capabilities for visual and textual search.

Ax Yunwei Bai, Ying Kiat Tan, Yao Shu, Tsuhan Chen 3/25/2026

1S-DAug: One-Shot Data Augmentation for Robust Few-Shot Generalization

1S-DAug: One-shot data augmentation method for improved few-shot learning generalization using generative synthesis.

Ax Xinrong Chen, Xu Chu, Yingmin Qiu, Hengyuan Zhang, Jing Xiong, Shiyu Tang, Shuai Liu, Shaokang Yang, Cheng Yang, Hayden Kwok-Hay So, Ngai Wong 3/25/2026

Residual Decoding: Mitigating Hallucinations in Large Vision-Language Models via History-Aware Residual Guidance

Residual Decoding: Training method to reduce hallucinations in vision-language models using history-aware residual guidance.

Ax Hongwei Yan, Guanglong Sun, Kanglei Zhou, Qian Li, Liyuan Wang, Yi Zhong 3/25/2026

FlyPrompt: Brain-Inspired Random-Expanded Routing with Temporal-Ensemble Experts for General Continual Learning

FlyPrompt: Brain-inspired routing method for continual learning from non-stationary data streams without task boundaries.

Ax Zeping Li, Guancheng Wan, Keyang Chen, Yu Chen, Yiwen Zhao, Philip Torr, Guangnan Ye, Zhenfei Yin, Hongfeng Chai 3/25/2026

Behavioral Consistency Validation for LLM Agents: An Analysis of Trading-Style Switching through Stock-Market Simulation

Study evaluating behavioral consistency of LLM agents in stock market simulations against real market participant behavior.

Ax Xiaowen Tao, Yinuo Wang, Haitao Ding, Yuanyang Qi, Ziyu Song 3/25/2026

Energy-Aware Reinforcement Learning for Robotic Manipulation of Articulated Components in Infrastructure Operation and Maintenance

Energy-aware reinforcement learning for robotic manipulation of articulated objects in infrastructure maintenance and smart cities.

Ax Songming Zhang, Xue Zhang, Tong Zhang, Bojie Hu, Yufeng Chen, Jinan Xu 3/25/2026

KDFlow: A User-Friendly and Efficient Knowledge Distillation Framework for Large Language Models

KDFlow: Framework for efficient knowledge distillation of large language models into smaller models with heterogeneous training backends.

Ax Wenhao Wu, Zhentao Tang, Yafu Li, Shixiong Kai, Mingxuan Yuan, Chunlin Chen, Zhi Wang 3/25/2026

From Conflict to Consensus: Boosting Medical Reasoning via Multi-Round Agentic RAG

MA-RAG: Multi-round agentic RAG system for medical reasoning with LLMs, addressing hallucinations and outdated knowledge through iterative refinement.

Ax Kevin Vogt-Lowell, Theodoros Tsiligkaridis, Rodney Lafuente-Mercado, Surabhi Ghatti, Shanghua Gao, Marinka Zitnik, Daniela Rus 3/25/2026

When Sensors Fail: Temporal Sequence Models for Robust PPO under Sensor Drift

Augmenting Proximal Policy Optimization with temporal sequence models for robust reinforcement learning under sensor drift and partial observability.

Ax Amos Goldman (NVIDIA Corporation), Nimrod Boker (NVIDIA Corporation), Maayan Sheraizin (NVIDIA Corporation), Nimrod Admoni (NVIDIA Corporation), Artem Polyakov (NVIDIA Corporation), Subhadeep Bhattacharya (NVIDIA Corporation), Fan Yu (NVIDIA Corporation), Kai Sun (NVIDIA Corporation), Georgios Theodorakis (NVIDIA Corporation), Hsin-Chun Yin (NVIDIA Corporation), Peter-Jan Gootzen (NVIDIA Corporation), Aamir Shafi (NVIDIA Corporation), Assaf Ravid (NVIDIA Corporation), Salvatore Di Girolamo (NVIDIA Corporation), Manjunath Gorentla Venkata (NVIDIA Corporation), Gil Bloch (NVIDIA Corporation) 3/25/2026

NCCL EP: Towards a Unified Expert Parallel Communication API for NCCL

NCCL EP, unified communication API for mixture-of-experts architectures in large language models built on NCCL with GPU-initiated RDMA.

Ax Jingxiao Yang, DaLin He, Miao Pan, Ge Su, Wenqi Zhang, Yifeng Hu, Tangwei Li, Yuke Li, Xuhong Zhang 3/25/2026

SARE: Sample-wise Adaptive Reasoning for Training-free Fine-grained Visual Recognition

Training-free fine-grained visual recognition using large vision-language models with sample-wise adaptive reasoning for subordinate-level category disambiguation.