大模型推理能力

When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes

Philipp Bomatter, Mengmi Zhang, Dimitar Karev, Spandan Madan, Claire Tseng, Gabriel Kreiman

专题命中 视觉空间推理 ：reasoning(title,abstract)；分类 cs.AI

Comments International Conference on Computer Vision (ICCV), 2021

A deep Q-Learning based Path Planning and Navigation System for Firefighting Environments

Manish Bhattarai, Manel Martinez-Ramon

专题命中 视觉空间推理 ：planning(title,abstract)；分类 cs.AI

Comments Accepted to ICAART2021

Towards Navigation by Reasoning over Spatial Configurations

Yue Zhang, Quan Guo, Parisa Kordjamshidi

专题命中 视觉空间推理 ：reasoning(title,abstract)；分类 cs.CL

Comparing Visual Reasoning in Humans and AI

Shravan Murlidaran, William Yang Wang, Miguel P. Eckstein

专题命中 视觉空间推理 ：reasoning(title,abstract)；分类 cs.AI

Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory

Ran Tian, Liting Sun, Masayoshi Tomizuka

专题命中 视觉空间推理 ：reasoning(title,abstract)；分类 cs.LG

Comments Accepted by 2021 AAAI Conference on Artificial Intelligence

Journal ref 2021 AAAI Conference on Artificial Intelligence

Dynamic Language Binding in Relational Visual Reasoning

Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran

专题命中 视觉空间推理 ：reasoning(title,abstract)；分类 cs.LG

Comments Early version accepted by IJCAI20, Code available at https://github.com/thaolmk54/LOGNet-VQA

Reasoning over Vision and Language: Exploring the Benefits of Supplemental Knowledge

Violetta Shevchenko, Damien Teney, Anthony Dick, Anton van den Hengel

专题命中 视觉空间推理 ：reasoning(title,abstract)；分类 cs.LG

Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs

Ana Marasović, Chandra Bhagavatula, Jae Sung Park, Ronan Le Bras, Noah A. Smith, Yejin Choi

专题命中 视觉空间推理 ：reasoning(title,abstract)；分类 cs.CL

Comments Accepted to Findings of EMNLP

Scene Graph Reasoning for Visual Question Answering

Marcel Hildebrandt, Hang Li, Rajat Koner, Volker Tresp, Stephan Günnemann

专题命中 视觉空间推理 ：reasoning(title,abstract)；分类 cs.LG

Comments ICML Workshop Graph Representation Learning and Beyond (GRL+)

Are Disentangled Representations Helpful for Abstract Visual Reasoning?

Sjoerd van Steenkiste, Francesco Locatello, Jürgen Schmidhuber, Olivier Bachem

专题命中 视觉空间推理 ：reasoning(title,abstract)；分类 cs.LG

Comments Accepted to NeurIPS 2019

Modeling Gestalt Visual Reasoning on the Raven's Progressive Matrices Intelligence Test Using Generative Image Inpainting Techniques

Tianyu Hua, Maithilee Kunda

专题命中 视觉空间推理 ：reasoning(title,abstract)；分类 cs.LG

Attention on Abstract Visual Reasoning

Lukas Hahne, Timo Lüddecke, Florentin Wörgötter, David Kappel

专题命中 视觉空间推理 ：reasoning(title,abstract)；分类 cs.LG

Deep Reinforcement Learning on a Budget: 3D Control and Reasoning Without a Supercomputer

Edward Beeching, Christian Wolf, Jilles Dibangoye, Olivier Simonin

专题命中 视觉空间推理 ：reasoning(title,abstract)；分类 cs.LG

Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects

Hessam Bagherinezhad, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi

专题命中 视觉空间推理 ：reasoning(title,abstract)；分类 cs.AI

Comments To appear in AAAI 2016

Integrating cardinal direction relations and other orientation relations in Qualitative Spatial Reasoning

Amar Isli

专题命中 视觉空间推理 ：reasoning(title,abstract)；分类 cs.AI

Comments Includes new material, such as a section on the use of the work in the concrete domain of the ALC(D) spatio-temporalisation defined in http://arXiv.org/abs/cs.AI/0307040

Semantic Radiance Fields as Simulators for Spatial Reasoning in Real-World Scenes

语义辐射场作为真实场景空间推理的模拟器

Nico Heider, Michał Jan Włodarczyk, Katarzyna Wasielewska-Michniewska, Przemysław Hołda, Martin Schieck, Marcin Paprzycki, Maria Ganzha, Bogdan Franczyk

机构 * Leipzig University（莱比锡大学） ； Systems Research Institute Polish Academy of Sciences（波兰科学院系统研究所） ； Wrocław University of Economics（弗罗茨瓦夫经济大学） 纠错

专题命中 视觉空间推理 ：reasoning(title,abstract)

AI总结 该研究提出用语义辐射场（SRF）构建兼具几何真实性与语义可查询性的真实场景模拟器，用于训练评估具身智能体的空间推理能力，还将其应用于果园苹果采摘任务。

Comments Accepted at the IJCAI 2026 Workshop on Spatio-Temporal Reasoning and Learning (STRL), oral presentation

Hidden Meanings in Plain Sight: RebusBench for Evaluating Cognitive Visual Reasoning

显而易见的隐含意义：RebusBench用于评估认知视觉推理

Seyed Amir Kasaei, Arash Marioriyad, Mahbod Khaleti, MohammadAmin Fazli, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban

专题命中 视觉空间推理 ：reasoning(title,abstract)

AI总结 本文提出RebusBench基准，用于评估模型在需要多步推理的隐含意义理解能力，发现现有模型在认知连接方面存在缺陷。

Comments Accepted at ICLR 2026 Workshop: From Human Cognition to AI Reasoning (HCAIR)

MARS2 2025 Challenge on Multimodal Reasoning: Datasets, Methods, Results, Discussion, and Outlook

Peng Xu, Shengwu Xiong, Jiajun Zhang, Yaxiong Chen, Bowen Zhou, Chen Change Loy, David A. Clifton, Kyoung Mu Lee, Luc Van Gool, Ruiming He, Ruilin Yao, Xinwei Long, Jirui Huang, Kai Tian, Sa Yang, Yihua Shao, Jin Feng, Yue Zhong, Jiakai Zhou, Cheng Tang, Tianyu Zou, Yifang Zhang, Junming Liang, Guoyou Li, Zhaoxiang Wang, Qiang Zhou, Yichen Zhao, Shili Xiong, Hyeongjin Nam, Jaerin Lee, Jaeyoung Chung, JoonKyu Park, Junghun Oh, Kanggeon Lee, Wooseok Lee, Juneyoung Ro, Turghun Osman, Can Hu, Chaoyang Liao, Cheng Chen, Chengcheng Han, Chenhao Qiu, Chong Peng, Cong Xu, Dailin Li, Feiyu Wang, Feng Gao, Guibo Zhu, Guopeng Tang, Haibo Lu, Han Fang, Han Qi, Hanxiao Wu, Haobo Cheng, Hongbo Sun, Hongyao Chen, Huayong Hu, Hui Li, Jiaheng Ma, Jiang Yu, Jianing Wang, Jie Yang, Jing He, Jinglin Zhou, Jingxuan Li, Josef Kittler, Lihao Zheng, Linnan Zhao, Mengxi Jia, Muyang Yan, Nguyen Thanh Thien, Pu Luo, Qi Li, Shien Song, Shijie Dong, Shuai Shao, Shutao Li, Taofeng Xue, Tianyang Xu, Tianyi Gao, Tingting Li, Wei Zhang, Weiyang Su, Xiaodong Dong, Xiao-Jun Wu, Xiaopeng Zhou, Xin Chen, Xin Wei, Xinyi You, Xudong Kang, Xujie Zhou, Xusheng Liu, Yanan Wang, Yanbin Huang, Yang Liu, Yang Yang, Yanglin Deng, Yashu Kang, Ye Yuan, Yi Wen, Yicen Tian, Yilin Tao, Yin Tang, Yipeng Lin, Yiqing Wang, Yiting Xi, Yongkang Yu, Yumei Li, Yuxin Qin, Yuying Chen, Yuzhe Cen, Zhaofan Zou, Zhaohong Liu, Zhehao Shen, Zhenglin Du, Zhengyang Li, Zhenni Huang, Zhenwei Shao, Zhilong Song, Zhiyong Feng, Zhiyu Wang, Zhou Yu, Ziang Li, Zihan Zhai, Zijian Zhang, Ziyang Peng, Ziyun Xiao, Zongshu Li

专题命中 视觉空间推理 ：reasoning(title,abstract)

Comments ICCV 2025 MARS2 Workshop and Challenge "Multimodal Reasoning and Slow Thinking in the Large Model Era: Towards System 2 and Beyond''

3DAffordSplat: Efficient Affordance Reasoning with 3D Gaussians

Zeming Wei, Junyi Lin, Yang Liu, Weixing Chen, Jingzhou Luo, Guanbin Li, Liang Lin

专题命中 视觉空间推理 ：reasoning(title,abstract)

Comments The first large-scale 3D Gaussians Affordance Reasoning Benchmark

Toward 3D Spatial Reasoning for Human-like Text-based Visual Question Answering

Hao Li, Jinfa Huang, Peng Jin, Guoli Song, Qi Wu, Jie Chen

专题命中 视觉空间推理 ：reasoning(title,abstract)

Comments Accepted by TIP2023, The Arxiv version of "Weakly-Supervised 3D Spatial Reasoning for Text-based Visual Question Answering"

Efficient Table QA via TableGrid Navigation and Progressive Inference Prompting

通过表格网格导航和逐步推理提示实现高效的表格问答

Amritansh Maurya, Navjot Singh, Mohammed Javed, Omar Moured

机构 * Vision Intelligence Lab, IIIT Allahabad, Prayagraj, India（视觉智能实验室，印度拉贾斯坦邦阿拉哈巴德） 纠错

专题命中 视觉空间推理 ：chain-of-thought(abstract,abstract_cn)；reasoning(abstract)；分类 cs.AI、cs.LG

AI总结 本文提出了一种无需训练的表格问答方法，通过TableGrid导航和Progressive Inference Prompting框架，提升了表格问答的精度和效率，并在多个数据集上验证了其有效性。

Comments Accepted for Presentation in ICDAR 2026, Vienna, Austria

The Geometry of Benchmarks: A New Path Toward AGI

基准的几何学：通向通用人工智能的新路径

Przemyslaw Chojecki

机构 * Przemyslaw Chojecki（独立研究者） 纠错

专题命中 视觉空间推理 ：reasoning(abstract)；planning(abstract)；verifier(abstract)；分类 cs.AI、cs.LG

AI总结 本文提出了一种基于几何框架的基准评估方法，通过自主AI尺度和GVU操作符，为通用人工智能的发展提供了新的理论视角。

Structured Prompting and Multi-Agent Knowledge Distillation for Traffic Video Interpretation and Risk Inference

Yunxiang Yang, Ningning Xu, Jidong J. Yang

机构 * Smart Mobility and Infrastructure Lab（智能移动与基础设施实验室） ； College of Engineering, University of Georgia（工程学院，佐治亚大学） 纠错

专题命中 视觉空间推理 ：reasoning(abstract)；chain-of-thought(abstract)；CoT(abstract)；分类 cs.CL、cs.AI

Comments 16 pages, 10 figures, 1 table

PhysNav-DG: A Novel Adaptive Framework for Robust VLM-Sensor Fusion in Navigation Applications

Trisanth Srinivasan, Santosh Patapati

机构 * Cyrion Labs（塞里昂实验室） 纠错

专题命中 视觉空间推理 ：reasoning(abstract)；chain-of-thought(abstract)；planning(abstract)；分类 cs.AI、cs.LG

Comments Accepted at IEEE/CVF Computer Society Conference on Computer Vision and Pattern Recognition Workshops 2025 (CVPRW)

Thinking with Generated Images

Ethan Chern, Zhulin Hu, Steffi Chern, Siqi Kou, Jiadi Su, Yan Ma, Zhijie Deng, Pengfei Liu

机构 * Shanghai Jiao Tong University（上海交通大学） ； SII ； Fudan University（复旦大学） ； Generative AI Research Lab (GAIR)（生成式人工智能研究实验室） 纠错

专题命中 视觉空间推理 ：reasoning(abstract)；chain-of-thought(abstract)；CoT(abstract)；分类 cs.CL、cs.AI

Risk-Adaptive Edge--Cloud Visual Reasoning for Communication-Efficient Autonomous Driving

面向通信高效自动驾驶的风险自适应边云视觉推理

Meng Ma, Shuyang Li, Naigang Wang, Ruimin Ke

机构 * Rensselaer Polytechnic Institute（伦斯勒理工学院） ； IBM T. J. Watson Research Center（IBM T. J. 沃森研究中心） 纠错

专题命中 视觉空间推理 ：reasoning(title,abstract)

AI总结 本研究提出风险自适应边云视觉推理架构，通过车载交通评估触发云端VLM推理，在自动驾驶中减少54.1%云端请求量，同时保持任务成功率并降低AEB触发次数，实现通信效率与性能的平衡。

Comments 7 pages, 4 figures, 5 tables

Spa3R: Predictive Spatial Field Modeling for 3D Visual Reasoning

Spa3R：用于3D视觉推理的预测空间场建模

Haoyi Jiang, Liu Liu, Xinjie Wang, Yonghao He, Wei Sui, Zhizhong Su, Wenyu Liu, Xinggang Wang

机构 * Huazhong University of Science & Technology（华中科技大学） ； Horizon Robotics ； D-Robotics Intern at D-Robotics（D-Robotics 实习生） 纠错

专题命中 视觉空间推理 ：reasoning(title,abstract)

AI总结 Spa3R通过自监督学习从多视角图像中提取统一的空间表示，提升3D视觉推理能力，实现与VLMs的结合，达到3D VQA任务的高准确率。

CausalSplat: Towards Comprehensive Hierarchical Reasoning in 3D Gaussian Splatting

CausalSplat：面向3D高斯溅射的综合层级推理

Jiayu Ding, Meilu Song, Yun Chen, Wei Gao, Ge Li

机构 * Peking University（北京大学） ； North China Electric Power University（华北电力大学） ； Hunan University（湖南大学） 纠错

专题命中 视觉空间推理 ：reasoning(title,abstract)

AI总结 针对3D高斯溅射推理局限，本文提出CausalSplat框架，结合视觉语言模型与3D场景图，构建两个推理基准，在相关任务上实现最优性能与强泛化性。

Comments Accepted to ACM MM 2026

Vision-Reasoning-Guided Occlusion Removal from Light Fields

视觉推理引导的光场遮挡去除

Mohamed Youssef, Oliver Bimber

机构 * Johannes Kepler University（约翰·开普勒大学） 纠错

专题命中 视觉空间推理 ：reasoning(title,abstract)

AI总结 提出结合光场积分与视觉语言模型的框架，通过多视图融合和语义先验恢复被遮挡场景，在合成和真实数据上取得最优性能。

GESTO: Human-Centric Spatio-Temporal Memory for Reasoning in Dynamic Scenes

GESTO：面向动态场景推理的以人为中心的时空记忆

Ermanno Bartoli, Buwei He, Dennis Rotondi, Sebastian Koch, Federico Tombari, Kai O. Arras, Patric Jensfelt, Yixi Cai, Iolanda Leite

机构 * KTH Royal Institute of Technology（瑞典皇家理工学院） ； University of Stuttgart（斯图加特大学） ； Max Planck Research School for Intelligent Systems（马克斯·普朗克智能系统研究所） ； Google Research（谷歌研究院） ； TU Munich（慕尼黑工业大学） 纠错

专题命中 视觉空间推理 ：reasoning(title,abstract)

AI总结 该研究提出GESTO时空记忆模型，结合4D场景图与人机交互、目标事件的两级结构，在基准测试中表现优异，可支撑动态人类环境下的以活动为中心的时空推理。