Interaction Prediction

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7 papers in the last four weeks, against 1 the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 42

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ReWAM: Reciprocal World Action Models for Interactive Autonomous Driving
Sep 30, 2026Benshan Ma, Pei Liu, Ruiguo Zhong +4Efficient World-Action Model Recent World-Action Models
The Hong Kong University of Science and Technology (Guangzhou) · Leapmotor · The Hong Kong University of Science and Technology
Generative Interactions: Weaving Multiparty Human Motion with Bilevel Latent Dynamics
Sep 29, 2026Ojas Shirekar, Yash Surange, Agustinas Jučas +1Interaction Prediction Human Motion
TU Delft Delft, The Netherlands · University of Oxford Oxford, UK
Socialality Anchors: Towards Group-bounded Trajectory Prediction
Sep 29, 2026Ziqian Zou, Conghao Wong, Qinmu Peng +1Complex Societies Ego-Trajectory Prediction
Huazhong University of Science and Technology, Wuhan, 430074, Hubei, China.
Towards Interaction Regulation from Human Feedback via Free Energy Minimization
Sep 16, 2026Maria Paula Diaz Monfort, Cinzia Tomaselli, Michael Richardson +1Human-Robot Interaction Reinforcement Learning From Human Feedback
Scuola Superiore Meridionale, Napoli, Italy · Macquarie University, Sydney, Australia · University of Salerno, Salerno, Italy
Scaling Articulated Rationales for MLLM-based Recommendation
Sep 15, 2026Haoke Xiao, Yueyang Liu, Yuhui Zhang +17Recommendation Free-Form Textual Rationales
Kuaishou Technology
DuctAM: A Duct-Assisted Quadrotor-Based Aerial Manipulator Enabling High-Force Push-and-Pull Interactions
Sep 14, 2026Yi Wang, Rui Jin, Xinhang Xu +4Aerial Manipulation Aerial Navigation
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798 · NTU–VinUni Joint Research Laboratory for Embodied AI and Robotics, School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, and VinUniversity, Hanoi, Vietnam
DIDO: Distilling Interaction-Centric Dynamics into One-Step Denoising for World Action Models
Sep 14, 2026Jing Lyu, Shuanghao Bai, Runze Xiao +11Photometric Supervision Robotic Manipulation
Institute of Automation, Chinese Academy of Sciences · School of Artificial Intelligence, University of Chinese Academy of Sciences · 3Beijing Academy of Artificial Intelligence (BAAI) +3
IMPACT: Attention Is the Interaction Map for Scalable Interaction-Aware World Model Training
Aug 31, 2026Rongze Tang, Jianjie Fang, Zhaolu Wang +8Efficient World-Action Model Interaction Prediction
University of Science and Technology of China · 2Zhongguancun Academy · 3Tsinghua University +1
Feature Interaction Modeling for Neural Operators
Jul 30, 2026Quan Gu, Xiaoduo Li, Hongxia LiuParametric Physics-Informed Neural Network Partial Differential Equations
Independent Researcher · Taiyuan University of Technology
DenseOn with the LateOn: Fully Open Dense and Late-Interaction Models for Multilingual, Long-Context, and Code Search
Jul 29, 2026Raphaël Sourty, Antoine Chaffin, Paulo Roberto Moura Junior +1Multilingual Language Models Retrieval Layer
1LightOn
MotionForesight: Re-purposing Video Models for Future 3D Scene-Flow Prediction
Jul 17, 2026Homanga Bharadhwaj, Yash JangirHuman Motion Prediction Future Video Prediction
Department of Computer Science, Johns Hopkins University
Learning High-Level Decision Making with an Interaction-Aware Attention-Based Network in Autonomous Driving
Jun 29, 2026Marcelo Contreras, Willi Poh, Christoph Stiller +1Autonomous Driving Perception Pipeline
NODE lab, University of Alberta, Edmonton, AB, T6G 1H9 Canada · MRT Institute, Karlsruhe Institute of Technology, Karlsruhe, Germany
A Generative Model for Closed-Loop Microsimulation of Signalized Intersections
Jun 22, 2026Yash Ranjan, Rahul Sengupta, Anand Rangarajan +1Microscopic Traffic Simulations Interaction Prediction
Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL 32611, USA
Learn to Quantify Social Interaction with Constraints for Pedestrian Walking
Jun 16, 2026Xiaodan ShiPedestrian Trajectory Prediction Interaction Prediction
Department of Computer and Systems Sciences, Stockholm University
A Comparative Study of Graph Neural Network Layer Selection for Interaction Modelling in Driving Trajectory Prediction
Jun 12, 2026George Daoud, Mohamed El-DariebyTemporal Graph Neural Networks Graph Neural Networks
Ontario Tech University, Oshawa, ON, Canada · Assiut University, Assiut, Egypt
Physics of anticipatory active matter, with application to crowd dynamics
Jun 12, 2026Alexis Raulin-Foissac, Alexandre NicolasAgent-Based Model Pedestrian
ILM, UCBL · Université Claude Bernard Lyon 1, Institut Lumière Matière, CNRS, UMR 5306, 69100, Villeurbanne, France · ILM, CNRS
When Are Neural Interaction Discoveries Real? Identifiability, Recoverability, and a Pre-Fit Diagnostic
Jun 7, 2026Valentina Kuskova, Dmitry Zaytsev, Michael CoppedgeIdentifiability Interaction Prediction
Lucy Family Institute for Data & Society · University of Notre Dame · Notre Dame, IN, USA +1
Toward Interaction Dynamics: A Predictive Framework for Safe Physical Human Robot Interaction
Jun 6, 2026Yongyan Cao, Jinshan TangHuman-Robot Interaction Impedance Control
REACT 2026: The Fourth Multiple Appropriate Facial Reaction Generation Challenge: Personalised MAFRG and Appropriate EEG Reaction Prediction
Jun 6, 2026Siyang Song, Micol Spitale, Zijian Wu +11Facial Expression Recognition Personality
University of Exeter United Kingdom · Politecnico di Milano Milan, Italy · Nanjing University of Science and Technology China +8
Pharmacogenomic Knowledge Graph Augmentation for Graph Neural Network-Based Drug-Drug Interaction Prediction
Jun 5, 2026Juergen DietrichAbsorption, Distribution, Metabolism, And Excretion Pharmacokinetics
AI Solutions Berlin
Temporal Motif Signatures for Temporal Graph Neural Networks
May 31, 2026Dylan Sandfelder, Mihai Cucuringu, Xiaowen DongTemporal Graph Neural Networks Interaction Prediction
University of Oxford · University of California, Los Angeles
Interaction-Limited Safe Continuous-Time RL for Dynamical Medical Treatment
May 31, 2026Xun Shen, Yuepeng Wang, Akifumi Wachi +13Treatment Offline Reinforcement Learning
Tokyo University of Agriculture and Technology · LY Corporation · National University of Singapore +6
CellBRIDGE: Learning Cellular Trajectories via Interaction-Aware Alignment
May 28, 2026Silas Ruhrberg Estévez, Nicolas Huynh, Tennison Liu +4Single-Cell Rna Transcriptomics
DAMTP, University of Cambridge · Francis Crick Institute · University of Colorado Anschutz Medical Campus
Structured interactions improve distributed coordination beyond model scaling in a real-world multi-robot system
May 28, 2026Junping Wang, Zhizhong Zhang, Yongqiang Tang +5Multi-Robot Systems Adaptive Coordination
1*State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, No.95 Zhongguancun East Road, Haidian District, Beijing, 100190, Beijing, China. · School of Artificial Intelligence, University of Chinese Academy of Sciences, No.19(A) Yuquan Road, Shijingshan District, Beijing, 100049, Beijing, China. · 5Liupanshan Laboratory, Ningxia University, No.489, Helanshan West Road, Xixia District, Yingchuan, 750021, Ningxia, China. +2
Law of Neural Interaction: Depth-Width Shape, Interaction Efficiency, and Generalization
May 27, 2026Wenjie Sun, Jinning Yang, Shuai Zhang +1Interaction Prediction Mmlu-Pro
The Chinese University of Hong Kong, Shenzhen · Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences · New Jersey Institute of Technology
Structured Neural Marked Point Processes for Interpretable Event Interaction Modeling
May 17, 2026Zhitong Xu, Qiwei Yuan, Yinghao Chen +2Determinantal Point Process Temporal Dependence
Kahlert School of Computing, University of Utah · Celonis AI
BEHAVE: Real-Time Modeling of Human Systems as Observable Complex Dynamical Systems and Operational Objects for Physical AI
May 12, 2026Helene MalyutinaCollective Behaviors Behavioral Foundation Models
Independent Researcher, Collective Dynamics Lab
Multi-Agent System Identification with Nonlinear Sheaf Diffusion
May 11, 2026Nivar Anwer, Hans Riess, Matthew HaleSheaf Neural Networks Multi-Agent Communication
Department of Computer Science, Georgia Tech · Department of Electrical & Computer Engineering, Georgia Tech
CHAINTRIX: A multi-pipeline LLM-augmented framework for automated smart-contract security auditing
May 10, 2026Gabriela Dobrita, Simona-Vasilica Oprea, Adela BaraSmart Contracts Program Analysis
Bucharest University of Economic Studies, Department of Economic Informatics and Cybernetics, no.6 Piața Romană, Bucharest, 010374, Romania
A Marine Debris Detection Framework for Ocean Robots via Self-Attention Enhancement and Feature Interaction Optimization
May 8, 2026Yuyang Li, Jiashu Han, Yinyi Lai +2Ship Detection Yolo26
School of Department of Mechanical Engineering, Hohai University, Changzhou, 213200, China · Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China · Department of Mechanical Engineering, City University of Hong Kong, Hong Kong SAR, 999077, China
MixINN: Accelerating Plant Breeding by Combining Mixed Models and Deep Learning for Interaction Prediction
May 6, 2026Aike Potze, Fred van Eeuwijk, Ioannis N. AthanasiadisAgricultural Prediction Precision Agriculture
Artificial Intelligence Group, Wageningen University & Research · Mathematical & Statistical Methods Group (Biometris), Wageningen University & Research
Contact Matrix: Enhancing Dance Motion Synthesis with Precise Interaction Modeling
May 6, 2026Xuhai Chen, Zhi Cen, Huaijin Pi +3Human Motion Generation Duet
Zhejiang University · The University of Hong Kong
InterFuserDVS: Event-Enhanced Sensor Fusion for Safe RL-Based Decision Making
May 5, 2026Mustafa Sakhaia, Kaung Sithua, Min Khant Soe Okea +1Event-Guided Sensor-Level Fusion Interaction Prediction
aFaculty of Computer Science, Electronics and Telecommunications, AGH University of Krakow, Krakow, 30-059, Poland · bAcademic Computer Centre AGH, Krakow, 30-950, Poland
Actionable Real-Time Modeling of Surgical Team Dynamics via Time-Expanded Interaction Graphs
May 5, 2026Vincenzo Marco De Luca, Antonio Longa, Giovanna Varni +1Interaction Prediction Surgery
a University of Trento · b UiT the Arctic University of Norway
Catching the Infection Before It Spreads: Foresight-Guided Defense in Multi-Agent Systems
May 3, 2026Yue Ma, Ziyuan Yang, Yi ZhangModel-Based Multi-Agent Systems LLM Defense Mechanisms
Sichuan University · Nanyang Technological University
ExoActor: Exocentric Video Generation as Generalizable Interactive Humanoid Control
Apr 30, 2026Yanghao Zhou, Jingyu Ma, Yibo Peng +3Full-Body Humanoid Control Human Motion Generation
Beijing Academy of Artificial Intelligence (BAAI)
Understanding DNNs in Feature Interaction Models: A Dimensional Collapse Perspective
Apr 29, 2026Jiancheng Wang, Mingjia Yin, Hao Wang +1High-Order Correlations Interaction Prediction
University of Science and Technology of China & State Key Laboratory of Cognitive Intelligence Hefei, China
Generalizable Friction Coefficient Estimation via Material Embedding and Proxy Interaction Modeling
Apr 27, 2026Zhendong Wang, Huamin WangFriction Materials
Style3D Research Hangzhou, China
Resolving space-sharing conflicts in road user interactions through uncertainty reduction: An active inference-based computational model
Apr 21, 2026Julian F. Schumann, Johan Engström, Ran Wei +3Interaction Prediction Uncertainty
Department of Cognitive Robotics, Delft University of Technology, Netherlands · Waymo LLC, Mountain View, CA, USA
Agentic Microphysics: A Manifesto for Generative AI Safety
Apr 16, 2026Federico Pierucci, Matteo Prandi, Marcantonio Bracale Syrnikov +2Artificial Intelligence Safety Interaction Prediction
DEXAI – Icaro Lab · Sant’Anna School of Advanced Studies · Sapienza University of Rome +1
Generating consensus and dissent on massive discussion platforms with a semantic-vector model
Jan 20, 2026A. Ferrer, D. Muñoz-Jordán, A. Rivero +3Collective Behaviors Network Science
Instituto de Biocomputación y Física de Sistemas Complejos (BIFI), Universidad de Zaragoza, 50018 Zaragoza, Spain · Kampal Data Solutions, WTCZ, Avda. Maria Zambrano 31, 50018 Zaragoza, Spain · Departamento de Física Teórica, Universidad de Zaragoza, 50009 Zaragoza, Spain +2
Friend or Foe
Aug 29, 2025Oleksandr Cherednichenko, Josephine Solowiej-Wedderburn, Laura M. Carroll +1Bacterial Colony Counting Peers
Integrated Science Lab (IceLab), Department of Mathematics and Mathematical Statistics, Umeå University · Department of Clinical Microbiology, SciLifeLab, Laboratory for Molecular Infection Medicine Sweden (MIMS), Umeå Centre for Microbial Research (UCMR), Umeå University

Sep 30, 2026, cs.ROJ/K move · Enter open · S save

ReWAM: Reciprocal World Action Models for Interactive Autonomous Driving

Benshan Ma, Pei Liu, Ruiguo Zhong, Lang Zhang+3

The Hong Kong University of Science and Technology (Guangzhou) · Leapmotor · The Hong Kong University of Science and Technology

Efficient World-Action Model Recent World-Action Models Interaction Prediction Autonomous Driving World Models Cross-Attention

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In interactive scenarios, an autonomous driving system is required to generate ego actions under the influence of other agents' behaviors. Existing World Action Models (WAMs) typically model other agents as components of the world model rather than as decision-makers that fundamentally shape the action of the ego agent, which impairs their performance in dense interaction scenarios. We introduce Reciprocal World Action Models (ReWAM), a game-theoretic world action modeling framework that captures the reciprocal influence between the ego agent and other agents by representing them as conditional responders whose actions are mutually influenced. We instantiate this framework with a Level-

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response hierarchy, where role-specific ego and other action DiTs exchange compact strategy tokens through cross-agent attention while remaining grounded in a shared representation of the future driving world. To learn the response policy of the ego agent from demonstrations, we formulate expert actions as samples from the best response distribution and jointly optimize the entire hierarchy using conditional flow matching. Our framework is evaluated on the NAVSIM dataset and achieves state-of-the-art performance compared to baselines. The improvement is particularly significant in interactive scenarios, validating that modeling reciprocal responses provides a more effective foundation for interaction-aware world action generation.

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Latest papers 42