VLM Reasoning

VLM: Vision-Language Model

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70 papers in the last four weeks, up 250% on the four weeks before. 0.7% of all new papers.

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Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs
Aug 3, 2026Zixuan Huang, Yang Zhou, Kaixuan Wang +7VLM Reasoning Reinforcement Learning with Verifiable Rewards
1Beihang University · 2Zhuoyu Technology, Shenzhen, China · 3Zhejiang University +1
SpatialQuery: Benchmarking Geometry-Grounded Multi-Instance Spatial Reasoning in Vision-Language Models
Aug 3, 2026Hai Nguyen, Tung Vu, Cong TranSpatial Reasoning Benchmarks 3D Spatial Reasoning
Posts and Telecommunications Institute of Technology, Hanoi, Vietnam
STAR-VLM: Spatiotemporal Grounding Vision-Language Models for Motion and Velocity Estimation via Automotive Radar Supervision
Aug 2, 2026Pou-Chun Kung, Aryaman Rao, Utkrisht Sahai +4VLMs for Autonomous Driving VLM Reasoning
University of Michigan, Ann Arbor, MI 48109
Remember-R1: Mitigating Long-Context Visual Forgetting through Reinforcement Learning
Aug 2, 2026Jianmin Chen, Jiaqi Tang, Wei Wei +9Vision-Language Models Long-Context Modeling
Hong Kong University of Science and Technology Hong Kong, China · Northwestern Polytechnical University Xi’an, China · Zhejiang University Hangzhou, China
It's the Decoding Format, Not the Perturbation: Auditing Consistency-Based Selection for Vision-Language Test-Time Scaling
Aug 2, 2026Puzhuo Zheng, Hasan KurbanVLM Evaluation Self-Consistency Decoding
College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar
LUT: Latent Utility Training for Visual Reasoning
Aug 1, 2026Jiaxuan Kang, Siyu Chen, Mingda Li +6Visual Question Answering Large Vision-Language Models
Tencent PCG
GuideGround: VLM-guided Semantic Understanding and Viewpoint-aware Reasoning for 3D Visual Grounding
Aug 1, 2026Yiwen Wang, Yuyang Deng, Yihao Long +1VLM Reasoning 3D Visual Grounding
Xi’an Jiaotong University
Sycophancy Undermines Epistemic Vigilance in Cooperative Vision-Language Tasks
Jul 31, 2026Rupak Sarkar, Neha Srikanth, Saloni Gupta +3VLM Evaluation Vision-Language Models
University of Maryland, College Park · Army Research Lab
Outcome-Guided Distillation: A Teacher-Student Framework to Advance VLM Reasoning in Autonomous Driving
Jul 31, 2026Zeyu Dong, Yimin Zhu, Yu Wu +1VLMs for Autonomous Driving End-to-End Autonomous Driving
Stony Brook University, USA · Rutgers University, USA · Sunrise Technology Inc., USA
Can Vision-Language Models Reason about AI Edits in Images?
Jul 30, 2026Darsha Udayanga, Pin-Yu Chen, Payel Das +1Image Forgery Detection Image Forgery Localization
1Rensselaer Polytechnic Institute · 2IBM Research
ViewMind3D: Modular View-Aware Inference for Training-Free 3D-QA
Jul 30, 2026Ping-Kun Chiang, Kun-Ru Wu, Po-han Li +33D Spatial Reasoning VLM Reasoning
FaithEyes: Towards Faithful Tool Use via Multi-Agent Process-Image Self-Verification
Jul 30, 2026Haoqing Wang, Xingrun Xing, Ziheng Li +2Tool Use in VLMs VLM Reasoning
Samsung Research, Beijing, China · Peking University
MemeBench: What LVLMs Miss When Interpreting Culture-Dependent Memes
Jul 30, 2026Weihang Wang, Kainan Tu, Jielei Zhang +9VLM Evaluation Vision-Language Models
1Bilibili · 2Fudan University · 3Peking University
Can LVLMs Uncover the Truth Behind Visual Illusions? An Analysis of Perceptual and Reasoning Capabilities
Jul 30, 2026Liangjie Zhao, Jiaqing Lyu, Kexin Tang +5VLM Evaluation Visual Reasoning
Adelaide University · Tsinghua University · Amap, Alibaba Group +3
JigShape: Evaluating Visual-Geometric Reasoning in VLMs through Jigsaw Puzzles
Jul 30, 2026Shawn Li, Wei Yang, Jike Zhong +11VLM Evaluation Spatial Reasoning Benchmarks
University of Southern California · National University of Singapore · Adobe Research +3
Inference-Time Agentic Decision Rules Beat Longer Evolving Search for Multi-Image Medical Reasoning
Jul 30, 2026Site Li, Jianyi Hao, Xiaofeng LiuMedical VQA VLM Reasoning
Yale University
Position, Not Provenance: Separating Reasoning Mediation from Sycophancy in Medical Vision-Language Models
Jul 29, 2026Supratik Bhowal, Subhrajyoti Basu, Aritra Gir Mahanta +1Medical VQA Medical VLMs
Department of Computer Science (AIML) IEM Kolkata, School of UEMK Kolkata, India · Department of Computer Science and Business System Heritage Institute of Technology Kolkata, India · Department of Computer Science and Engineering Indian Institute of Information Technology, Kalyani Kalyani, India
MAViE: A Multi-scale Adaptive Vision Encoder for Fine-grained Visual Perception and Efficient Multimodal Reasoning
Jul 27, 2026Shaofei LeiEfficient VLM Inference Multi-Scale Feature Fusion
Reasoning to Regulate: Chain-of-Thought for Traffic Rule Understanding
Jul 27, 2026Yueru Luo, Xu Yan, Changqing Zhou +5Autonomous Driving VLM Reasoning
Shenzhen-FNii, CUHK-SZ · HKUST(GZ) · Tencent T Lab +1
MarineEVT: Advancing Event-Centric Marine Video Understanding via Visual Tool Reasoning
Jul 27, 2026Tuan-An To, Yuk-Kwan Wong, Tuan-Anh Vu +2Visual Question Answering Video Understanding
The Hong Kong University of Science and Technology, Hong Kong, China · University of California, Los Angeles CA, USA · University of Electronic Science and Technology of China, China
PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis
Jul 26, 2026Chi Phan, Tianyi Zhang, Yufeng Wu +7Computational Pathology Medical VQA
Department of Electrical and Computer Engineering, National University of Singapore, Singapore 117417 · Department of Biomedical Engineering, National University of Singapore, Singapore 117417, Singapore · Department of Pathology, Fujian Medical University Cancer Hospital & Fujian Cancer Hospital, Fuzhou, China +1
What CLIP Knows but Cannot Say: Recovering Negation from Frozen Intermediate Features
Jul 25, 2026Chen-Yi Lu, Yueh-Shao Chen, Somali ChaterjiVision-Language Models VLM Adaptation
Purdue University, West Lafayette, IN 47907, USA
Self-Boosting Vision-Language Models with Noisy Student On-Policy Self-Distillation
Jul 25, 2026Shuai Wang, Daoan Zhang, Zhe Tang +2VLM Adaptation On-Policy Self-Distillation
The Hong Kong University of Science and Technology (Guangzhou) · University of Rochester · Zhejiang University of Technology +1
Similarity Is Not Logic: Factored Inference for Dual-Encoder Vision-Language Models
Jul 25, 2026Sultan Alshehri, Zhantao Yang, Han Zhang +1Vision-Language Models VLM Reasoning
Carnegie Mellon University, Pittsburgh, PA, USA.
EVL-MCoT: Enhanced Vision-Language Multi-CoT for Harmful Meme Detection
Jul 24, 2026Hao Yang, Jin Wang, Xuejie ZhangContent Moderation VLM Reasoning
School of Information Science and Engineering, Yunnan University, Kunming, China
Be Consistent! Enhancing Robust Visual Reasoning in LVLMs with Consistency Constraints
Jul 23, 2026Liqiang Jing, Xiong Zhou, Siddharth Varia +3VLM Evaluation Visual Reasoning
University of Texas at Dallas · Amazon Web Services
MIRROR: Learning from the Other View for Multi-Modal Reasoning
Jul 23, 2026Wen Ye, Yuxiao Qu, Aviral Kumar +1Cross-Modal Knowledge Distillation Multimodal Reasoning
University of Southern California · Carnegie Mellon University
Trace: A Taxonomy-Guided Environment for Multidomain Visual Reasoning
Jul 22, 2026Md Tanvirul AlamSynthetic Data Generation VLM Reasoning
Rochester Institute of Technology Rochester, NY, USA
ExpertVerse: A General-Purpose Benchmark for Expert-Level Reasoning in Knowledge-Intensive Visual Synthesis
Jul 21, 2026Yuan Wang, Yongchao Du, Mengting Chen +4Image Generation RL for Image Generation
1Alibaba Group · 2Tsinghua University · 3Johns Hopkins University‌
No Training, Better Flights: Test-Time Scaled VLMs for UAV Navigation
Jul 21, 2026Feinan Cheng, Dongliang Xu, Wenli Nong +4Vision-Language Models UAV Navigation
Shandong University Weihai, China · China University of Petroleum (East China) Qingdao, China · MBZUAI Abu Dhabi, United Arab Emirates

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Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs

Zixuan Huang, Yang Zhou, Kaixuan Wang, Guli Zhang+6

1Beihang University · 2Zhuoyu Technology, Shenzhen, China · 3Zhejiang University+1

VLM Reasoning Reinforcement Learning with Verifiable Rewards Autonomous Driving Planning

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Recent Vision-Language-Action (VLA) models for autonomous driving (AD) increasingly utilize chain-of-thought (CoT) supervision to enhance the reasoning capabilities of their Vision-Language Model (VLM) components, yet existing annotation pipelines commonly expose the teacher model to the logged ground-truth (GT) future trajectory. We empirically show that this induces trajectory anchoring bias: teacher models rationalize the revealed outcome rather than infer a decision from scene evidence, producing less causally faithful CoTs and substantially more severe hallucinations, especially in causally challenging scenes. Removing the GT trajectory eliminates this shortcut, but open-ended trajectory generation entangles high-level decision-making with precise geometric synthesis and low-level dynamics. To make trajectory-level driving decisions verifiable without requiring open-ended trajectory synthesis, we introduce Autonomous-Driving Multiple-Choice Question (AD-MCQ), which casts planning as selection among explicit trajectory candidates. Taking this a step further, we propose Deferred Exposure of Future Trajectories for RLVR (DEFT-RLVR) to transform future trajectories from pre-decision anchors into post-decision verification targets. Experimental results show that DEFT-RLVR improves AD reasoning while preserving or even enhancing general visual capabilities. With VLM-only inference and controllable difficulty through candidate construction, AD-MCQ provides a flexible, scalable, and extensible foundation for future research on verifiable AD reasoning.

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