004.8 — Искусственный интеллект

Explaining Too Much? Understanding How Large Language Model Reasoning Traces Influence Performance and Metacognition Daniela Fernandes, Daniel Buschek, Lev Tankelevitch, Thomas Kosch, Robin Welsch · 2026

MuNet: A Mutualistic Network for Joint 3D Human Mesh Recovery and 3D Clothed Human Reconstruction from Single Images Yunqi Gao, Leyuan Liu, Yuhan Li, Changxin Gao, Jingying Chen · 2026

Causal Tongue-Tie: LLMs Can Encode Causal Direction, But Their Yes/No Outputs Fail to Express Ziyi Ding, Xiao-Ping Zhang · 2026

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Aoxi Liu, Yupeng Chen, James Oldfield, Guanzhe Hong, Junchi Yu, Baoyuan Wu, Philip Torr, Adel Bibi · 2026

Hybrid Systems for Knowledge Representation in Artificial Intelligence Rajeswari P.V, Dr. T. · 2012

What Do Agents Communicate? Characterizing Information Exchange in Multi-Agent Systems Yong Jin Chun, Iftekhar Ahmed · 2026

Benchmarking Pathology Foundation Models for Spatial Domain Understanding Bokai Zhao, Yiyang Zhang, Yuanchi Zhu, Hanqing Chao, Long Bai, Tai Ma, Minfeng Xu, Ming Song, Tianzi Jiang · 2026

Concept Unlearning via Cross-Attention Activation Projection for Diffusion Models Saemi Moon, Suhyeon Jun, Seoyeon Lee, Dongwoo Kim · 2026

MDGMIX: Boundary-Aware Subgraph Mixing for Multi-Domain Graph Pre-Training Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Xinyan Huang · 2026

Efficient Benchmarking Is Just Feature Selection and Multiple Regression Sam Bowyer, Acyr Locatelli, Kris Cao · 2026

Emergence of agriculture in an artificial society of reinforcement learning agents Gautier Hamon, Martí Sánchez-Fibla, Clément Moulin-Frier, Ricard Solé · 2026

Convergence Without Understanding: When Language Models Agree on Representations but Disagree on Reasoning Muhammad Usama, Dong Eui Chang · 2026

Human-in-the-Loop Multi-Agent Ventilator Decision Support with Contextual Bandit Preference Learning Sijia Li, Xiaoyu Tan, Qixing Wang, Weiyi Zhao, Chen Zhan, Teqi Hao, Xuemin Wang, Lei Gu, Roland Eils, Xihe Qiu · 2026

Sparse Compositional Flow Matching by geometric assembly from motion primitives Yan Tang, Yuanbo Tang, Tingyu Cao, Shaolun Huang, Yang Li · 2026

ARMS: Automatic Reward Shaping for Sparse-Reward Multi-Agent Reinforcement Learning Elie Abboud, Oren Gal · 2026

Safety, Liveness, and Fairness in Quantitative Argumentation Dialogues Arunavo Ganguly, Julian Alfredo Mendez, Timotheus Kampik · 2026

The Communication Complexity of Instant-Runoff Voting Élie de Panafieu, François Durand, Jérôme Lang · 2026

PhotoFlow: Agentic 3D Virtual Photography Missions Jiarui Guo, Haojia Wei, Yiming Zhang, Yifei Liu, Yuning Gong, Hongjie Zhang, Xue Yang, Zhihang Zhong · 2026

Multi-agent Collaboration with State Management Mengyang Liu, Taozhi Chen, Zhenhua Xu, Xue Jiang, Yihong Dong · 2026

Intent-First Aerial V2V for Tactical Coordination and Separation: Protocol and Performance Under Density and Disturbance Mehrnaz Sabet · 2026

CandorMD: An AI-Assisted Audio Simulation and Feedback System for Training Clinicians for Medical Error Disclosure Inna Wanyin Lin, Sahand Sabour, Hong Sng, Maxine Chan, Minlie Huang, Andrew White, Tim Althoff · 2026

Self-Evolving Multi-Agent Systems via Decentralized Memory Guangya Hao, Yunbo Long, Zhuokai Zhao · 2026

The Value of Covariance Matching in Gaussian DDPMs and the Lanczos Sampler Md Sahil Akhtar, Aymane El Gadarri, Vivek F. Farias, Adam D. Jozefiak · 2026

Post-Training is About States, Not Tokens: A State Distribution View of SFT, RL, and On-Policy Distillation Dong Nie · 2026

Knowledge representation and decision making: A hybrid approach Iain Wallace, Simon Goss, Kevin Bluff · 2024

Knowledge is power: Open-world knowledge representation learning for knowledge-based visual reasoning Wenbo Zheng, Lan Yan, Fei-Yue Wang · 2024

Nash Welfare in Additively Separable Hedonic Games Marta Pagano, Alexander Schlenga · 2026

RLFTSim: Realistic and Controllable Multi-Agent Traffic Simulation via Reinforcement Learning Fine-Tuning Ehsan Ahmadi, Hunter Schofield, Behzad Khamidehi, Fazel Arasteh, Jinjun Shan, Lili Mou, Dongfeng Bai, Kasra Rezaee · 2026

DecisionBench: A Benchmark for Emergent Delegation in Long-Horizon Agentic Workflows Yuxuan Gao, Megan Wang, Yi Ling Yu, Zijian Carl Ma, Ao Qu · 2026

Innovations in Cardless Artificial Intelligence Banking: A Comprehensive Framework for Cyber Secure and Fraud Mitigation using Machine Learning Algorithms Md Israfeel · 2026

Agentic CLEAR: Automating Multi-Level Evaluation of LLM Agents Asaf Yehudai, Lilach Eden, Michal Shmueli-Scheuer · 2026

Healthcare LLM Benchmarks Are Only as Good as Their Explicit Assumptions Naveen Raman, Santiago Cortes-Gomez, Mateo Dulce Rubio, Fei Fang, Bryan Wilder · 2026

Contractual Skills: A GovernSpec Design Framework for Enterprise AI Agents Ting Liu · 2026

Knowledge representation Alan Garnham · 2017

Reliability and Effectiveness of Autonomous AI Agents in Supply Chain Management Carol Xuan Long, David Simchi-Levi, Feng Zhu, Huangyuan Su, Andre P. Calmon, Flavio P. Calmon · 2026

PyraVid: Hierarchical Multimodal Memory for Long-Horizon Video Reasoning Sikuan Yan, Sicheng Dong, Haotong Wang, Ercong Nie, Yilun Liu, Jinhe Bi, Yingjie Xu, Susanna Schwarzmann, Riccardo Trivisonno, Volker Tresp, Yunpu Ma · 2026

S-Bus: Automatic Read-Set Reconstruction for Multi-Agent LLM State Coordination Sajjad Khan · 2026

MADP: A Multi-Agent Pipeline for Sustainable Document Processing with Human-in-the-Loop Diego Gosmar, Giovanni Zenezini · 2026

MOSS: Self-Evolution through Source-Level Rewriting in Autonomous Agent Systems Qianshu Cai, Yonggang Zhang, Xianzhang Jia, Wei Xue, Jun Song, Xinmei Tian, Yike Guo · 2026

Finite-Particle Convergence Rates for Conservative and Non-Conservative Drifting Models Krishnakumar Balasubramanian · 2026

The Matching Principle: A Geometric Theory of Loss Functions for Nuisance-Robust Representation Learning Vishal Rajput · 2026

Vector Policy Optimization: Training for Diversity Improves Test-Time Search Ryan Bahlous-Boldi, Isha Puri, Idan Shenfeld, Akarsh Kumar, Mehul Damani, Sebastian Risi, Omar Khattab, Zhang-Wei Hong, Pulkit Agrawal · 2026

Implicit Regularization of Mini-Batch Training in Graph Neural Networks Clement Wang, Antoine Vialle, Robin Vaysse, Thomas Bonald · 2026

Understanding Multimodal Failure in Action-Chunking Behavioral Cloning Lorenzo Mazza, Massimiliano Datres, Ariel Rodriguez, Sebastian Bodenstedt, Gitta Kutyniok, Stefanie Speidel · 2026

The Neural Compiler: Program-to-Network Translation for Hybrid Scientific Machine Learning Lucas Sheneman · 2026

BeLink: Biomedical Entity Linking Meets Generative Re-Ranking Darya Shlyk, Stefano Montanelli, Lawrence Hunter · 2026

Requirements Specification for Knowledge-Based Systems John Debenham · 2020

Handbook of Knowledge Representation · 2008

Preface · 2019

Knowledge Discovery from Numerical Data Chie Morita, Hiroshi Tsukimoto · 2022

AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists Junshu Pan, Panzhong Lu, Yixuan Weng, Qiyao Sun, Fang Guo, Zijie Yang, Qiji Zhou, Yue Zhang · 2026

DeepWeb-Bench: A Deep Research Benchmark Demanding Massive Cross-Source Evidence and Long-Horizon Derivation Sixiong Xie, Zhuofan Shi, Haiyang Shen, Jiuzheng Wang, Siqi Zhong, Mugeng Liu, Chongyang Pan, Peilun Jia, Baoqing Sun, Xiang Jing, Yun Ma · 2026

Quantifying Hyperparameter Transfer and the Importance of Embedding Layer Learning Rate Dayal Singh Kalra, Maissam Barkeshli · 2026

Variance Reduction for Expectations with Diffusion Teachers Jesse Bettencourt, Xindi Wu, Matan Atzmon, James Lucas, Jonathan Lorraine · 2026

BootstrapAgent: Distilling Repository Setup into Reusable Agent Knowledge Sihan Fu, Oucheng Liu, Shiyuan Wang, Jin Shi, Chengkun Wei · 2026

Divide et Calibra: Multiclass Local Calibration via Vector Quantization Cesare Barbera, Lorenzo Perini, Giovanni De Toni, Andrea Passerini, Andrea Pugnana · 2026

Fine-grained Claim-level RAG Benchmark for Law Souvick Das, Sallam Abualhaija, Domenico Bianculli · 2026

AutoRPA: Efficient GUI Automation through LLM-Driven Code Synthesis from Interactions Minghao Chen, Xinyi Hu, Zhou Yu, Yufei Yin · 2026

ProCrit: Self-Elicited Multi-Perspective Reasoning with Critic-Guided Revision for Multimodal Sarcasm Detection Yingjia Xu, Jiulong Wu, Bowen Zhang, Baokui Guo, Siyuan Chai, Min Cao · 2026

Decoupling Communication from Policy: Robust MARL under Bandwidth Constraints Alexi Canesse, Benoît Goupil, Jesse Read, Sonia Vanier · 2026

Transforming Privacy Artifacts into Accessible Reports for Non-Technical Stakeholders Zoe Pfister, Clemens Sauerwein, Benedikt Dornauer, Tina Mersch, Christian Wolf, Ruth Breu, Michael Vierhauser · 2026

RePCM: Region-Specific and Phenotype-Adaptive Bi-Ventricular Cardiac Motion Synthesis Xuan Yang, Xiaohan Yuan, Hao Li, Lingyu Chen, Yanan Liu, Lei Li · 2026

APEX: Autonomous Policy Exploration for Self-Evolving LLM Agents Yibo Li, Jiashuo Yang, Zhi Zheng, Zhiyuan Hu, Yuan Sui, Shizun Wang, Yufei He, Bryan Hooi · 2026

Learning Structural Latent Points for Efficient Visual Representations in Robotic Manipulation Yicheng Jiang, Jiaxu Wang, Junhao He, Zesen Gan, Junhao Li, Qiang Zhang, Jingkai Sun, Jiahang Cao, Mingyuan Sun, Xiangyu Yue, Qiming Shao · 2026

How Much Online RL is Enough? Informative Rollouts for Offline Preference Optimization in RLVR Richa Verma, Balaraman Ravindran · 2026

HaorFloodAlert: Deseasonalized ML Ensemble for 72-Hour Flood Prediction in Bangladesh Haor Wetlands Salma Hoque Talukdar Koli, Fahima Haque Talukder Jely, Md. Samiul Alim, Md. Zakir Hossen · 2026

Long-term Power Grid Planning via Answer Set Programming Antonio Ielo, Francesco Doria, Sandra Castellanos-Paez, Marco Maratea, Francesco Percassi, Mauro Vallati · 2026

A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents Vasundra Srinivasan · 2026

Atoms of Thought: Universal EEG Representation Learning with Microstates Xinyang Tian, Ruitao Liu, Ziyi Ye, Siyang Xue, Xin Wang, Xuesong Chen · 2026

Hybrid Approaches to Knowledge Representation and Reasoning in Artificial Intelligence Systems Mawloud Titah · 2025

Synergistic Foundation Models for Semi-Supervised Fetal Cardiac Ultrasound Analysis: SAM-Med2D Boundary Refinement and DINOv3 Semantic Enhancement Tonghao Zhuang, Shanglong Hu, Yongsheng Luo, Zhiqi Zhang, Yu Li · 2026

Stitched Value Model for Diffusion Alignment Hyojun Go, Hyungjin Chung, Prune Truong, Goutam Bhat, Li Mi, Zhaochong An, Zixiang Zhao, Dominik Narnhofer, Serge Belongie, Federico Tombari, Konrad Schindler · 2026

Latent Laplace Diffusion for Irregular Multivariate Time Series Zinuo You, Jin Zheng, John Cartlidge · 2026

Chunking German Legal Code Max Prior, Natalia Milanova, Andreas Schultz · 2026

LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning Sangjun Bae, Yisak Park, Sanghyeon Lee, Seungyul Han · 2026

The Dynamics of Policy Gradient in Social Dilemmas with Partner Selection Benedict Russell, Chin-wing Leung, Paolo Turrini · 2026

Beyond Scaling: Agents Are Heading to the Edge Chunlin Tian, Dongqi Cai, Wanru Zhao, Nicholas D. Lane · 2026

Efficient Gradient Methods for Distributed Saddle Problems Ruichen Luo, Anton Rodomanov, Sebastian U. Stich · 2026

ICRL: Learning to Internalize Self-Critique with Reinforcement Learning Jianbo Lin, Xiaomin Yu, Yi Xin, Yifu Guo, Zhuosong Jiang, Zhongqi Yue, Weishi Wang, Heqing Zou, Chengwei Qin, Hui Xiong · 2026

Chapter 5: Expert Systems · 2020

IdeaForge: A Knowledge Graph-Grounded Multi-Agent Framework for Cross-Methodology Innovation Analysis and Patent Claim Generation Joy Bose · 2026

Flowing with Confidence Friso de Kruiff, Dario Coscia, Max Welling, Erik Bekkers · 2026

Prompt2Fingerprint: Plug-and-Play LLM Fingerprinting via Text-to-Weight Generation Sixu Chen, Xiang Chen, Hongyao Yu, Jiaxin Hong, Hao Fang, Shuoyang Sun, Bin Chen, Shu-Tao Xia · 2026

GAMMA: Global Bit Allocation for Mixed-Precision Models under Arbitrary Budgets Zhangyang Yao, Haiyan Zhao, Haoyu Wang, Tianbo Huang, Lihua Zhang, Xu Han · 2026

ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ Гельдиев Б. А., Хатджиева О. К., Куллыева О. Х., Байрамова С. · 2023

ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ В РОБОТОТЕХНИКЕ Р. М. Стихаенко, Л. В. Гаев · 2024

Spiker-LL: An Energy-Efficient FPGA Accelerator Enabling Adaptive Local Learning in Spiking Neural Networks Alessio Caviglia, Filippo Marostica, Alessandro Savino, Stefano Di Carlo · 2026

Mapping the Fitness Landscape: A Structure-Guided Approach to Multi-Modal Optimization Meng Xiang, Pei Yan · 2026

Rough Sets for Knowledge Representation in Artificial Intelligence Systems: A Critical Review Mayukh Bagchi · 2025

SMCEvolve: Principled Scientific Discovery via Sequential Monte Carlo Evolution Jiachen Jiang, Huminhao Zhu, Zhihui Zhu · 2026

LongMINT: Evaluating Memory under Multi-Target Interference in Long-Horizon Agent Systems Hyunji Lee, Justin Chih-Yao Chen, Joykirat Singh, Zaid Khan, Elias Stengel-Eskin, Mohit Bansal · 2026

Query-Conditioned Knowledge Alignment for Reliable Cross-System Medical Reasoning Yan Jiao, Jingran Xu, Pin-Han Ho, Limei Peng · 2026

Overeager Coding Agents: Measuring Out-of-Scope Actions on Benign Tasks Yubin Qu, Ying Zhang, Yanjun Zhang, Gelei Deng, Yuekang Li, Leo Yu Zhang, Yi Liu · 2026

NeuroMAS: Multi-Agent Systems as Neural Networks with Joint Reinforcement Learning Haoran Lu, Luyang Fang, Wenxuan Zhong, Ping Ma · 2026

Dynamic Deployment of Mobile Charging Trucks During Natural Disaster Evacuation: An Offline-to-Online Framework Rui Ma, Zilin Bian, Kaan Ozbay · 2026

Lifelong LaCAM with Local Guidance for Lifelong MAPF Tomoki Arita, Keisuke Okumura · 2026

When Fireflies Cluster; Enhancing Automatic Clustering via Centroid-Guided Firefly Optimization MKA Ariyaratne, Azwirman Gusrialdi, Yury Nikulin, Jaakko Peltonen · 2026

Self-supervised local learning rules learn the hidden hierarchical structure of high-dimensional data Ariane Delrocq, Wu S. Zihan, Guillaume Bellec, Wulfram Gerstner · 2026

Actionable World Representation Kunqi Xu, Jitao Li, Jianglong Ye, Tianshu Tang, Isabella Liu, Sifei Liu, Xueyan Zou · 2026

Code as Agent Harness Xuying Ning, Katherine Tieu, Dongqi Fu, Tianxin Wei, Zihao Li, Yuanchen Bei, Jiaru Zou, Mengting Ai, Zhining Liu, Ting-Wei Li, Lingjie Chen, Yanjun Zhao, Ke Yang, Bingxuan Li, Cheng Qian, Gaotang Li, Xiao Lin, Zhichen Zeng, Ruizhong Qiu, Sirui Chen, Yifan Sun, Xiyuan Yang, Ruida Wang, Rui Pan, Chenyuan Yang, Dylan Zhang, Liri Fang, Zikun Cui, Yang Cao, Pan Chen, Dorothy Sun, Ren Chen, Mahesh Srinivasan, Nipun Mathur, Yinglong Xia, Hong Li, Hong Yan, Pan Lu, Lingming Zhang, Tong Zhang, Hanghang T · 2026

Chapter 6. Structure Representation · 2019

Commonsense Knowledge Representation I Phillip Ein-Dor · 2024

Knowledge evolutionary process of Artificial intelligence in E-commerce: Main path analysis and science mapping analysis Xiaorong He, Yan Liu · 2024

Commonsense Knowledge Representation II Phillip Ein-Dor · 2024

Differing perspectives of knowledge representation in artificial intelligence and discrete event modeling Ashvin Radiya, Robert G. Sargent · 2024

Comparative Evaluation of the Discovered Knowledge Mondher Maddouri, Ali Jaoua · 2020

Shaping Zero-Shot Coordination via State Blocking Mingu Kang, Sunwoo Lee, Yonghyeon Jo, Seungyul Han · 2026

A Research Agenda on Agents and Software Engineering: Outcomes from the Rio A2SE Seminar Davide Taibi, Henry Muccini, Karthik Vaidhyanathan, Marcos Kalinowski, Michele Albano, Antonio Pedro Santos Alves, Renato Cerqueira, Mateus Devino, Matteo Esposito, Rodrigo Falcão, Vinicius Henning, Foutse Khomh, Valentina Lenarduzzi, Qinghua Lu, Matías Martínez, Henrique Mello, Daniel Mendez, Lucas Romao · 2026

AgentDisCo: Towards Disentanglement and Collaboration in Open-ended Deep Research Agents Jiarui Jin, Zexuan Yan, Shijian Wang, Wenxiang Jiao, Yuan Lu · 2026

Adaptive TD-Lambda for Cooperative Multi-agent Reinforcement Learning Yue Deng, Zirui Wang, Yin Zhang · 2026

RaPD: Resolution-Agnostic Pixel Diffusion via Semantics-Enriched Implicit Representations Yanhao Ge, Shanyan Guan, Weihao Wang, Ying Tai, Mingyu You · 2026

Towards Generalization of Block Attention via Automatic Segmentation and Block Distillation Shuaiyi Li, Zhisong Zhang, Yan Wang, Lei Zhu, Dongyang Ma, Chenlong Deng, Yang Deng, Wai Lam · 2026

SLIP & ETHICS: Graduated Intervention for AI Emotional Companions Minseo Kim · 2026

LoCO: Low-rank Compositional Rotation Fine-tuning An Nguyen, Jaesik Choi, Anh Tong · 2026

Learning Sim-Grounded Policies for Bimanual Rope Manipulation from Human Teleoperation Data Gina Wigginghaus, Tim Missal, Berk Guler, Simon Manschitz, Jan Peters · 2026

RecMem: Recurrence-based Memory Consolidation for Efficient and Effective Long-Running LLM Agents Zijie Dai, Shiyuan Deng, Sheng Guan, Yizhou Tian, Xin Yao, Xiao Yan, James Cheng · 2026

XSearch: Explainable Code Search via Concept-to-Code Alignment Yiming Liu, Ruofan Liu, Yun Lin, Zicong Zhang, Weiyu Kong, Pengnian Qi, Xiao Cheng, Weinan Zhang, Qianxiang Wang, Linpeng Huang · 2026

Looped SSMs: Depth-Recurrence and Input Reshaping for Time Series Classification Mónika Farsang, Ramin Hasani, Daniela Rus, Radu Grosu · 2026

Chapter 21. Evaluation of Knowledge-based Systems · 2019

When Does Hierarchy Help? Benchmarking Agent Coordination in Event-Driven Industrial Scheduling Ziqi Wang, Yuhao Yang, Zhiwei Ling, Wenzhuo Qian, Hailiang Zhao · 2026

Decoupled Planning for Multiple Omega-Regular Objectives Guy Avni, Thomas A. Henzinger, Kaushik Mallik, Suman Sadhukhan, K. S. Thejaswini · 2026

Hybrid Approaches to Knowledge Representation and Reasoning in Artificial Intelligence Systems Mawloud Titah · 2025

Chapter 7: Knowledge Acquisition · 2020

Chapter 8: Knowledge Representation · 2020

Knowledge-based Expert Systems in Chemistry · 2019

CANTANTE: Optimizing Agentic Systems via Contrastive Credit Attribution Tom Zehle · 2026

Discrete Diffusion for Complex and Congested Multi-Agent Path Finding with Sparse Social Attention Yuanzhe Wang, Tian Zhi, Zihang Wei, Hongguang Wang, Jiaming Guo, Yang Zhao, Zisheng Liu, Shiyu Quan, Xing Hu, Zidong Du, Yunji Chen · 2026

VGGT-Edit: Feed-forward Native 3D Scene Editing with Residual Field Prediction Kaixin Zhu, Yiwen Tang, Yifan Yang, Renrui Zhang, Bohan Zeng, Ziyu Guo, Ruichuan An, Zhou Liu, Qizhi Chen, Delin Qu, Jaehong Yoon, Wentao Zhang · 2026

FutureSim: Replaying World Events to Evaluate Adaptive Agents Shashwat Goel, Nikhil Chandak, Arvindh Arun, Ameya Prabhu, Steffen Staab, Moritz Hardt, Maksym Andriushchenko, Jonas Geiping · 2026

Multi-Agentic Approach for History Matching of Oil Reservoirs Linar Samigullin, Sergei Shumilin, Evgeny Burnaev · 2026

AI Knows When It's Being Watched: Functional Strategic Action and Contextual Register Modulation in Large Language Models Vinicius Covas, Jorge Alberto Hidalgo Toledo · 2026

A Prototyping Framework for Distributed Control of Multi-Robot Systems Junaid Ahmed Memon, Allan Andre Do Nascimento, Kostas Margellos, Antonis Papachristodoulou · 2026

APWA: A Distributed Architecture for Parallelizable Agentic Workflows Evan Rose, Tushin Mallick, Matthew D. Laws, Cristina Nita-Rotaru, Alina Oprea · 2026

Knowledge-Driven Marketing Management Support Systems I: Artificial Intelligence, Knowledge Representation, and Expert Systems Berend Wierenga, Gerrit van Bruggen · 2000

DCSG: A Logic Grammar for Knowledge Representation of Hierarchically Organized Objects Takushi Tanaka · 2022

SkillSafetyBench: Evaluating Agent Safety under Skill-Facing Attack Surfaces Chang Jin, An Wang, Zeming Wei, Kai Wang, Biaojie Zeng, Qiaosheng Zhang, Chao Yang, Jingjing Qu, Xia Hu, Xingcheng Xu · 2026

Intermediate Artifacts as First-Class Citizens: A Data Model for Durable Intermediate Artifacts in Agentic Systems Josh Rosen, Seth Rosen · 2026

Attacks and Mitigations for Distributed Governance of Agentic AI under Byzantine Adversaries Matthew D. Laws, Alina Oprea, Cristina Nita-Rotaru · 2026

Events as Triggers for Behavioral Diversity in Multi-Agent Reinforcement Learning Hannes Büchi, Manon Flageat, Eduardo Sebastián, Amanda Prorok · 2026

ATLAS: Agentic or Latent Visual Reasoning? One Word is Enough for Both Ziyu Guo, Rain Liu, Xinyan Chen, Pheng-Ann Heng · 2026

EntityBench: Towards Entity-Consistent Long-Range Multi-Shot Video Generation Ruozhen He, Meng Wei, Ziyan Yang, Vicente Ordonez · 2026

Negation Neglect: When models fail to learn negations in training Harry Mayne, Lev McKinney, Jan Dubiński, Adam Karvonen, James Chua, Owain Evans · 2026

Quantifying Sensitivity for Tree Ensembles: A symbolic and compositional approach S. Akshay, Chaitanya Garg, Ashutosh Gupta, Kuldeep S. Meel, Ajinkya Naik · 2026

Topology-Preserving Neural Operator Learning via Hodge Decomposition Dongzhe Zheng, Tao Zhong, Christine Allen-Blanchette · 2026

EVA-Bench: A New End-to-end Framework for Evaluating Voice Agents Tara Bogavelli, Gabrielle Gauthier Melançon, Katrina Stankiewicz, Oluwanifemi Bamgbose, Fanny Riols, Hoang H. Nguyen, Raghav Mehndiratta, Lindsay Devon Brin, Joseph Marinier, Hari Subramani, Anil Madamala, Sridhar Krishna Nemala, Srinivas Sunkara · 2026

WARDEN: Endangered Indigenous Language Transcription and Translation with 6 Hours of Training Data Ziheng Zhang, Yunzhong Hou, Naijing Liu, Liang Zheng · 2026