AI Agent

Localized Latent Editing for Dose-Response Modeling in Botulinum Toxin Injection Planning

局部潜在编辑用于肉毒素注射计划中的剂量-反应建模

Estèphe Arnaud, Mohamed Daoudi, Pierre Guerreschi

机构 * Univ. Lille, CNRS, Centrale Lille, Institut Mines-Télécom, UMR 9189 CRIStAL（里尔大学、国家科学研究中心、Centrale Lille、Institut Mines-Télécom、UMR 9189 CRIStAL） ； IMT Nord Europe, Institut Mines-Télécom, Univ. Lille, Centre for Digital Systems（IMT Nord Europe、Institut Mines-Télécom、里尔大学、数字系统中心） ； Lille University Hospital (CHU), Department of Plastic Surgery（里尔大学医院（CHU）、整形外科部门） ； SATT Nord 纠错

专题命中 规划决策 ：planning(title,abstract)；workflow(abstract)

AI总结 本文提出了一种局部潜在编辑框架，通过剂量-反应建模实现肉毒素注射计划，利用区域特定潜在轴发现方法实现对特定面部区域的精确控制。

A Collaborative Extended Reality Prototype for 3D Surgical Planning and Visualization

一种用于3D手术规划和可视化协作扩展现实原型

Shi Qiu, Ruiyang Li, Qixuan Liu, Yuqi Tong, Yue Qiu, Yinqiao Wang, Yan Li, Chi-Wing Fu, Pheng-Ann Heng

专题命中 规划决策 ：planning(title,abstract)；workflow(abstract)

AI总结 本文提出了一种协作扩展现实原型，用于3D手术规划和可视化，通过用户研究验证了其有效性并为未来医疗XR协作提供启示。

Comments IEEE VR 2026 Posters

Hierarchical Informative Path Planning via Graph Guidance and Trajectory Optimization

基于图引导和轨迹优化的分层信息路径规划

Avraiem Iskandar, Shamak Dutta, Kevin Murrant, Yash Vardhan Pant, Stephen L. Smith

机构 * Department of Electrical and Computer Engineering, University of Waterloo（滑铁卢大学电气与计算机工程系） ； National Research Council Canada（加拿大国家研究理事会） 纠错

专题命中 规划决策 ：planning(title,abstract)；agent(abstract)

AI总结 本文提出一种分层信息路径规划方法，结合图引导和轨迹优化，通过分段预算分配和样条细化，实现更低的后验不确定性与更快的运行速度。

DISPATCH -- Decentralized Informed Spatial Planning and Assignment of Tasks for Cooperative Heterogeneous Agents

DISPATCH -- 分布式知情空间规划与任务分配以实现协作异构代理

Yao Liu, Sampad Mohanty, Elizabeth Ondula, Bhaskar Krishnamachari

专题命中 规划决策 ：planning(title)；agent(abstract)；multi-agent(abstract)

AI总结 DISPATCH提出两种算法，通过整合公平性和效率，在分布式环境下实现异构代理任务分配的公平与效率平衡。

Holmes: An Evidence-Grounded LLM Agent for Auditable DDoS Investigation in Cloud Networks

Holmes：一种基于证据的LLM代理，用于可审计的云网络DDoS调查

Haodong Chen, Ziheng Zhang, Jinghui Jiang, Qiang Su, Qiao Xiang

专题命中 规划决策 ：agent(title,abstract)；workflow(abstract)

AI总结 Holmes是一种基于LLM的DDoS检测代理，通过结构化证据和可追溯的审计日志，实现云网络中可解释、可审计的DDoS调查。

BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling

BayesAgent: 通过 verbalized 概率图模型实现不确定性下的贝叶斯代理推理

Hengguan Huang, Xing Shen, Songtao Wang, Lingfa Meng, Dianbo Liu, David Alejandro Duchene, Hao Wang, Samir Bhatt

专题命中 规划决策 ：agentic(title,abstract)；分类 cs.AI、cs.CL、cs.LG

AI总结 BayesAgent 通过 verbalized 概率图模型实现不确定性下的贝叶斯代理推理，提升置信度校准和文本生成质量。

Comments Accepted to AAAI 2026

DemMA: Dementia Multi-Turn Dialogue Agent with Expert-Guided Reasoning and Action Simulation

DemMA：具有专家引导推理和行动模拟的痴呆多轮对话代理

Yutong Song, Jiang Wu, Kazi Sharif, Honghui Xu, Nikil Dutt, Amir Rahmani

专题命中 规划决策 ：agent(title,abstract)；multi-agent(abstract)

AI总结 DemMA通过专家引导的推理和行动模拟，实现了高保真的痴呆症患者多轮对话模拟，优于现有基线模型。

RumorSphere: A Framework for Million-scale Agent-based Dynamic Simulation of Rumor Propagation

RumorSphere: 用于百万级基于代理的动态谣言传播模拟的框架

Yijun Liu, Wu Liu, Xiaoyan Gu, Hantao Yao, Weiping Wang, Jiebo Luo, Yongdong Zhang

专题命中 规划决策 ：agent(title,abstract)；multi-agent(abstract)

AI总结 RumorSphere通过动态和分层的共振框架，实现百万级代理的谣言传播模拟，有效提升模拟精度并减少偏差。

Online Bayesian Learning of Agent Behavior in Differential Games

在线贝叶斯学习差分博弈中的智能体行为

Francesco Bianchin, Robert Lefringhausen, Sandra Hirche

专题命中 规划决策 ：agent(title,abstract)；multi-agent(abstract)

AI总结 本文提出了一种在线贝叶斯方法，用于多智能体系统中行为识别，通过参数残差实现快速更新和鲁棒预测，适用于非线性动态和价值函数。

Higher-Order Knowledge Representations for Agentic Scientific Reasoning

高阶知识表示用于代理科学推理

Isabella A. Stewart, Markus J. Buehler

专题命中 规划决策 ：agentic(title,abstract)；分类 cs.AI、cs.CL、cs.LG

AI总结 本文提出基于超图的知识表示方法，用于代理科学推理，通过高阶路径生成机理假设，提升科学发现效率。

AirSpatialBot: A Spatially-Aware Aerial Agent for Fine-Grained Vehicle Attribute Recognization and Retrieval

AirSpatialBot: 一种空间感知的空中智能体用于细粒度车辆属性识别与检索

Yue Zhou, Ran Ding, Xue Yang, Xue Jiang, Xingzhao Liu

机构 * Department of Electronic Engineering, Shanghai Jiao Tong University（电子工程系，上海交通大学） ； Department of Automation, Shanghai Jiao Tong University（自动化系，上海交通大学） 纠错

专题命中 规划决策 ：agent(title,abstract)；planning(abstract)

AI总结 AirSpatialBot通过空间感知的VLM和两阶段训练策略，实现细粒度车辆属性识别与检索，解决遥感图像中的空间理解难题。

Comments 12 pages, 9 figures

An Agentic Software Framework for Data Governance under DPDP

基于DPDP的数据治理代理软件框架

Apurva Kulkarni, Chandrashekar Ramanathan

专题命中 规划决策 ：agentic(title,abstract)；agent(abstract)

AI总结 本文提出基于DPDP的数据治理代理框架，通过协作代理和动态政策执行实现透明、合规的数据治理。

Human-like AI-based Auto-Field-in-Field Whole-Brain Radiotherapy Treatment Planning With Conversation Large Language Model Feedback

类人AI驱动的自动场内场全脑放疗治疗计划与对话大语言模型反馈

Adnan Jafar, An Qin, Gavin Atkins, Xiaoyu Hu, Yin Gao, Xun Jia

专题命中 规划决策 ：planning(title,abstract)；workflow(abstract)

AI总结 本研究提出基于深度学习和大语言模型的自动化全脑放疗计划制定方法，通过对话接口实现交互式优化，提升计划质量和效率。

Comments 22 pages, 7 figures

Iterative Deployment Improves Planning Skills in LLMs

迭代部署提升大语言模型的规划能力

Augusto B. Corrêa, Yoav Gelberg, Luckeciano C. Melo, Ilia Shumailov, André G. Pereira, Yarin Gal

机构 * University of Oxford（牛津大学） ； AI Sequrity Company（AI安全公司） ； UFRGS（乌拉圭联邦大学） 纠错

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.CL、cs.LG

AI总结 通过迭代部署大语言模型，利用用户编纂的数据提升规划能力，展现隐含奖励函数的强化学习机制，具有AI安全和训练制度替代的双重意义。

Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning

Nemotron 3 Nano：开放、高效专家混合混合Mamba-Transformer模型用于代理推理

NVIDIA, :, Aaron Blakeman, Aaron Grattafiori, Aarti Basant, Abhibha Gupta, Abhinav Khattar, Adi Renduchintala, Aditya Vavre, Akanksha Shukla, Akhiad Bercovich, Aleksander Ficek, Aleksandr Shaposhnikov, Alex Kondratenko, Alexander Bukharin, Alexandre Milesi, Ali Taghibakhshi, Alisa Liu, Amelia Barton, Ameya Sunil Mahabaleshwarkar, Amir Klein, Amit Zuker, Amnon Geifman, Amy Shen, Anahita Bhiwandiwalla, Andrew Tao, Ann Guan, Anubhav Mandarwal, Arham Mehta, Ashwath Aithal, Ashwin Poojary, Asif Ahamed, Asma Kuriparambil Thekkumpate, Ayush Dattagupta, Banghua Zhu, Bardiya Sadeghi, Barnaby Simkin, Ben Lanir, Benedikt Schifferer, Besmira Nushi, Bilal Kartal, Bita Darvish Rouhani, Boris Ginsburg, Brandon Norick, Brandon Soubasis, Branislav Kisacanin, Brian Yu, Bryan Catanzaro, Carlo del Mundo, Chantal Hwang, Charles Wang, Cheng-Ping Hsieh, Chenghao Zhang, Chenhan Yu, Chetan Mungekar, Chintan Patel, Chris Alexiuk, Christopher Parisien, Collin Neale, Damon Mosk-Aoyama, Dan Su, Dane Corneil, Daniel Afrimi, Daniel Rohrer, Daniel Serebrenik, Daria Gitman, Daria Levy, Darko Stosic, David Mosallanezhad, Deepak Narayanan, Dhruv Nathawani, Dima Rekesh, Dina Yared, Divyanshu Kakwani, Dong Ahn, Duncan Riach, Dusan Stosic, Edgar Minasyan, Edward Lin, Eileen Long, Eileen Peters Long, Elena Lantz, Ellie Evans, Elliott Ning, Eric Chung, Eric Harper, Eric Tramel, Erick Galinkin, Erik Pounds, Evan Briones, Evelina Bakhturina, Faisal Ladhak, Fay Wang, Fei Jia, Felipe Soares, Feng Chen, Ferenc Galko, Frankie Siino, Gal Hubara Agam, Ganesh Ajjanagadde, Gantavya Bhatt, Gargi Prasad, George Armstrong, Gerald Shen, Gorkem Batmaz, Grigor Nalbandyan, Haifeng Qian, Harsh Sharma, Hayley Ross, Helen Ngo, Herman Sahota, Hexin Wang, Himanshu Soni, Hiren Upadhyay, Huizi Mao, Huy C Nguyen, Huy Q Nguyen, Iain Cunningham, Ido Shahaf, Igor Gitman, Ilya Loshchilov, Ivan Moshkov, Izzy Putterman, Jan Kautz, Jane Polak Scowcroft, Jared Casper, Jatin Mitra, Jeffrey Glick, Jenny Chen, Jesse Oliver, Jian Zhang, Jiaqi Zeng, Jie Lou, Jimmy Zhang, Jining Huang, Joey Conway, Joey Guman, John Kamalu, Johnny Greco, Jonathan Cohen, Joseph Jennings, Joyjit Daw, Julien Veron Vialard, Junkeun Yi, Jupinder Parmar, Kai Xu, Kan Zhu, Kari Briski, Katherine Cheung, Katherine Luna, Keshav Santhanam, Kevin Shih, Kezhi Kong, Khushi Bhardwaj, Krishna C. Puvvada, Krzysztof Pawelec, Kumar Anik, Lawrence McAfee, Laya Sleiman, Leon Derczynski, Li Ding, Lucas Liebenwein, Luis Vega, Maanu Grover, Maarten Van Segbroeck, Maer Rodrigues de Melo, Makesh Narsimhan Sreedhar, Manoj Kilaru, Maor Ashkenazi, Marc Romeijn, Mark Cai, Markus Kliegl, Maryam Moosaei, Matvei Novikov, Mehrzad Samadi, Melissa Corpuz, Mengru Wang, Meredith Price, Michael Boone, Michael Evans, Miguel Martinez, Mike Chrzanowski, Mohammad Shoeybi, Mostofa Patwary, Nabin Mulepati, Natalie Hereth, Nave Assaf, Negar Habibi, Neta Zmora, Netanel Haber, Nicola Sessions, Nidhi Bhatia, Nikhil Jukar, Nikki Pope, Nikolai Ludwig, Nima Tajbakhsh, Nirmal Juluru, Oleksii Hrinchuk, Oleksii Kuchaiev, Olivier Delalleau, Oluwatobi Olabiyi, Omer Ullman Argov, Ouye Xie, Parth Chadha, Pasha Shamis, Pavlo Molchanov, Pawel Morkisz, Peter Dykas, Peter Jin, Pinky Xu, Piotr Januszewski, Pranav Prashant Thombre, Prasoon Varshney, Pritam Gundecha, Qing Miao, Rabeeh Karimi Mahabadi, Ran El-Yaniv, Ran Zilberstein, Rasoul Shafipour, Rich Harang, Rick Izzo, Rima Shahbazyan, Rishabh Garg, Ritika Borkar, Ritu Gala, Riyad Islam, Roger Waleffe, Rohit Watve, Roi Koren, Ruoxi Zhang, Russell J. Hewett, Ryan Prenger, Ryan Timbrook, Sadegh Mahdavi, Sahil Modi, Samuel Kriman, Sanjay Kariyappa, Sanjeev Satheesh, Saori Kaji, Satish Pasumarthi, Sean Narentharen, Sean Narenthiran, Seonmyeong Bak, Sergey Kashirsky, Seth Poulos, Shahar Mor, Shanmugam Ramasamy, Shantanu Acharya, Shaona Ghosh, Sharath Turuvekere Sreenivas, Shelby Thomas, Shiqing Fan, Shreya Gopal, Shrimai Prabhumoye, Shubham Pachori, Shubham Toshniwal, Shuoyang Ding, Siddharth Singh, Simeng Sun, Smita Ithape, Somshubra Majumdar, Soumye Singhal, Stefania Alborghetti, Stephen Ge, Sugam Dipak Devare, Sumeet Kumar Barua, Suseella Panguluri, Suyog Gupta, Sweta Priyadarshi, Syeda Nahida Akter, Tan Bui, Teodor-Dumitru Ene, Terry Kong, Thanh Do, Tijmen Blankevoort, Tom Balough, Tomer Asida, Tomer Bar Natan, Tugrul Konuk, Twinkle Vashishth, Udi Karpas, Ushnish De, Vahid Noorozi, Vahid Noroozi, Venkat Srinivasan, Venmugil Elango, Vijay Korthikanti, Vitaly Kurin, Vitaly Lavrukhin, Wanli Jiang, Wasi Uddin Ahmad, Wei Du, Wei Ping, Wenfei Zhou, Will Jennings, William Zhang, Wojciech Prazuch, Xiaowei Ren, Yashaswi Karnati, Yejin Choi, Yev Meyer, Yi-Fu Wu, Yian Zhang, Ying Lin, Yonatan Geifman, Yonggan Fu, Yoshi Subara, Yoshi Suhara, Yubo Gao, Zach Moshe, Zhen Dong, Zihan Liu, Zijia Chen, Zijie Yan

机构 * NVIDIA 纠错

专题命中 规划决策 ：agentic(title,abstract)；分类 cs.AI、cs.CL、cs.LG

AI总结 Nemotron 3 Nano是一种高效混合Mamba-Transformer模型，通过预训练和微调在代理推理任务中实现更高准确性和吞吐量。

GeoVista: Web-Augmented Agentic Visual Reasoning for Geolocalization

GeoVista: 基于网络增强的代理视觉推理用于地理定位

Yikun Wang, Zuyan Liu, Ziyi Wang, Han Hu, Pengfei Liu, Yongming Rao

机构 * Fudan University（复旦大学） ； Tencent Hunyuan（腾讯文元） ； Tsinghua University（清华大学） ； Shanghai Innovation Institute（上海创新研究院） 纠错

专题命中 规划决策 ：agentic(title,abstract)；tool-use(abstract)

AI总结 GeoVista通过整合图像缩放和网络搜索工具，提升地理定位任务的代理模型性能，实现优于开源模型的性能。

AgentComp: From Agentic Reasoning to Compositional Mastery in Text-to-Image Models

AgentComp: 从代理推理到文本-图像模型中的组合性 mastery

Arman Zarei, Jiacheng Pan, Matthew Gwilliam, Soheil Feizi, Zhenheng Yang

机构 * TikTok ； University of Maryland（马里兰大学） 纠错

专题命中 规划决策 ：agentic(title,abstract)；tool-use(abstract)

AI总结 AgentComp通过训练模型区分组合性相似的提示和图像，提升文本-图像模型的组合性生成能力，实现更准确的图像生成。

Skywork-R1V4: Toward Agentic Multimodal Intelligence through Interleaved Thinking with Images and DeepResearch

Skywork-R1V4：通过图像与深度研究交织思考实现代理多模态智能

Yifan Zhang, Liang Hu, Haofeng Sun, Peiyu Wang, Yichen Wei, Shukang Yin, Jiangbo Pei, Wei Shen, Peng Xia, Yi Peng, Tianyidan Xie, Eric Li, Yang Liu, Xuchen Song, Yahui Zhou

机构 * Skywork AI 纠错

专题命中 规划决策 ：agentic(title,abstract)；planning(abstract)

AI总结 Skywork-R1V4通过交织推理实现多模态代理智能，仅用监督学习在少数据上训练，超越现有模型在多个基准测试中的表现。

Comments 21 pages, 7 figures

LOG-Nav: Efficient Layout-Aware Object-Goal Navigation with Hierarchical Planning

LOG-Nav: 面向复杂多房间室内环境的高效布局感知物体目标导航方法

Jiawei Hou, Yuting Xiao, Xiangyang Xue, Taiping Zeng

专题命中 规划决策 ：planning(title,abstract)；agent(abstract)

AI总结 LOG-Nav通过层次化规划和大语言模型智能体实现高效布局感知导航，实验显示其在复杂室内环境中的导航成功率显著提升。

On-the-fly Feedback SfM: Online Explore-and-Exploit UAV Photogrammetry with Incremental Mesh Quality-Aware Indicator and Predictive Path Planning

实时反馈结构光束法重建：面向无人机摄影测量的在线探索与利用方法，结合增量网格质量感知指标与预测路径规划

Liyuan Lou, Wanyun Li, Wentian Gan, Yifei Yu, Tengfei Wang, Xin Wang, Zongqian Zhan

机构 * School of Geodesy and Geomatics, Wuhan University（测绘学院，武汉大学） 纠错

专题命中 规划决策 ：planning(title,abstract)；workflow(abstract)

AI总结 本文提出实时反馈结构光束法重建方法，通过增量网格质量感知和预测路径规划，实现无人机摄影测量的在线探索与利用，提升实时重建与反馈效率。

Comments This work was submitted to IEEE GRSM Journal for consideration.COPYRIGHT would be transferred once it get accepted

An Agent-Based Simulation of Regularity-Driven Student Attrition: How Institutional Time-to-Live Constraints Create a Dropout Trap in Higher Education

基于常规驱动的学生流失的代理模拟：机构时间到寿命限制如何在高等教育中创造辍学陷阱

H. R. Paz

专题命中 规划决策 ：agent(title,abstract)；planning(abstract)

AI总结 本文通过代理模拟揭示了行政时间限制如何导致学生辍学，指出规范机制比单纯学术失败更驱动辍学，挑战了行政结构的中立性。

Planning-Aware Code Infilling via Horizon-Length Prediction

Yifeng Ding, Hantian Ding, Shiqi Wang, Qing Sun, Varun Kumar, Zijian Wang

机构 * University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； AWS AI Labs（AWS人工智能实验室） ； Meta 纠错

专题命中 规划决策 ：planning(title,abstract)；分类 cs.CL、cs.LG、cs.SE

Efficient Multiagent Planning via Shared Action Suggestions

Dylan M. Asmar, Mykel J. Kochenderfer

专题命中 规划决策 ：planning(title,abstract)；agent(abstract)

Comments Repository: https://github.com/sisl/MCAS Accepted to AAAI 2026

A Learning-Based Framework for Collision-Free Motion Planning

Mateus Salomão, Tianyü Ren, Alexander König

专题命中 规划决策 ：planning(title,abstract)；agent(abstract)

Towards Human-AI-Robot Collaboration and AI-Agent based Digital Twins for Parkinson's Disease Management: Review and Outlook

Hassan Hizeh, Rim Chighri, Muhammad Mahboob Ur Rahman, Mohamed A. Bahloul, Ali Muqaibel, Tareq Y. Al-Naffouri

机构 * Computer, Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology（计算机、电气与数学科学和工程系，国王 Abdullah 科学与技术大学） ； College of Engineering & Advanced Computing and the Translational Biomedical Engineering Research lab, Alfaisal University（工程与高级计算学院及转化生物医学工程研究实验室，阿尔法西尔大学） ； Electrical Engineering Department and the Center for Communication Systems and Sensing, King Fahd University of Petroleum and Minerals (KFUPM)（电气工程系及通信系统与感知中心，国王法赫德石油与矿物大学） 纠错

专题命中 规划决策 ：agent(title)；AI agent(abstract)；agentic(abstract)

Comments 20 pages, 5 figures, 4 tables, under review with a journal

Reasoning Planning for Language Models

Bao Nguyen, Hieu Trung Nguyen, Ruifeng She, Xiaojin Fu, Viet Anh Nguyen

专题命中 规划决策 ：planning(title,abstract)；分类 cs.AI、cs.CL、cs.LG

Comments 27 pages, 5 figures

RadioSim Agent: Combining Large Language Models and Deterministic EM Simulators for Interactive Radio Map Analysis

Sajjad Hussain, Conor Brennan

专题命中 规划决策 ：agent(title,abstract)；agentic(abstract)

Comments Submitted to EuCAP 2026

Agent-Omni: Test-Time Multimodal Reasoning via Model Coordination for Understanding Anything

Huawei Lin, Yunzhi Shi, Tong Geng, Weijie Zhao, Wei Wang, Ravender Pal Singh

机构 * Amazon（亚马逊公司） ； Rochester Institute of Technology（罗切斯特理工学院） ； University of Rochester（罗切斯特大学） 纠错

专题命中 规划决策 ：agent(title,abstract)；分类 cs.AI、cs.CL、cs.LG

Comments 16 pages, 7 figures, 14 tables. Under Review

OracleAgent: A Multimodal Reasoning Agent for Oracle Bone Script Research

Caoshuo Li, Zengmao Ding, Xiaobin Hu, Bang Li, Donghao Luo, Xu Peng, Taisong Jin, Yongge Liu, Shengwei Han, Jing Yang, Xiaoping He, Feng Gao, AndyPian Wu, SevenShu, Chaoyang Wang, Chengjie Wang

机构 * Xiamen University（厦门大学） ； Anyang Normal University（安阳师范学院） ； Tencent YouTu Lab（腾讯YouTu实验室） ； Tencent SSV（腾讯SSV） 纠错

专题命中 规划决策 ：agent(title,abstract)；workflow(abstract)

Evolution of Cooperation in LLM-Agent Societies: A Preliminary Study Using Different Punishment Strategies

Kavindu Warnakulasuriya, Prabhash Dissanayake, Navindu De Silva, Stephen Cranefield, Bastin Tony Roy Savarimuthu, Surangika Ranathunga, Nisansa de Silva

专题命中 规划决策 ：agent(title,abstract)；multi-agent(abstract)

Comments 20 pages, 10 figures, Accepted for presentation as a full paper at the COINE 2025 workshop at AAMAS 2025 (https://coin-workshop.github.io/coine-2025-detroit/accepted_for_presentation.html)