Reasoning for VLMs

VLM: Vision-Language Model

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36 papers3 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

Xiaomi-Lens-0 Technical Report
Oct 16, 2026Pei Fu, Yike Liu, Yue Sun +12Large Vision-Language Models Referring Image Segmentation
Xiaoai Plus, SeerRay Team
Perception or Reasoning? Diagnosing and Tackling Reinforcement Learning Bottlenecks in VLMs
Oct 15, 2026Zeyuan Yang, Zhuohao Chen, Jiaben Chen +3Attention-Guided Distillation RL for VLMs
UMass Amherst · UIUC · MIT
Look Where You Say You're Looking: Self-Grounded Attention for Visual Reasoning
Oct 4, 2026Uri Berger, Gal Chechik, Gal DalalVision-Language Grounding VLM Reasoning
NVIDIA Research · The Hebrew University of Jerusalem · University of Melbourne +1
From Perception to Integration: Revisiting the Internal Dynamics of Reasoning in Vision-Language Models
Sep 28, 2026Rong Yu Xu, Prayag Tiwari, Shaolei ZhangEfficient VLM Inference VLM Interpretability
Shenzhen College of International Education · Halmstad University, Sweden · Renmin University of China
MVVBench: Benchmarking 4D Reasoning in Vision-Language Models
Sep 25, 2026Hyungjin Chung, Byeongjun Park, Joonseok Lee +3Reasoning for VLMs Video Reasoning
EverEx · Korea University · Yonsei University
Evaluating Explanation-Driven Vision-Language Reasoning via Generation Order Interventions
Aug 26, 2026Siting Liang, Luca Rippe, Omar Adjali +1VLM Reasoning Reasoning for VLMs
German Research Center for Artificial Intelligence · University of Oldenburg
Investigating Relational Reasoning in VLMs
Aug 24, 2026Adhithya Laxman Ravi Shankar Geetha, Aulia Kharis Rakhmasari, Haleema Ramzan +1Reasoning for VLMs Vision-Language Models
Department of Computer Science, ETH Zurich, Switzerland
Roadside-Cooperative Autonomous Driving: From Data Platform to Vision-Language End-to-End Reasoning
Aug 21, 2026Yitao Xu, Tong Wu, Yiyan Wu +7Reasoning for VLMs Autonomous Driving
School of Vehicle and Mobility, Tsinghua University · Suzhou Automotive Research Institute, Tsinghua University · State Key Laboratory of Intelligent Vehicle and Mobility, Tsinghua University
Be Faithful When Response: Returning Fluent and Grounded Answers for Vision-Language Models Reinforcement Learning
Jun 29, 2026Peng, Lee, Yin Zhang +9RL for VLMs Vision-Language Grounding
GMLab · Hong Kong Polytechnic University · XPENG Robotics
AVIS: Adaptive Test-Time Scaling for Vision-Language Models
Jun 10, 2026Ahmadreza Jeddi, Minh Ngoc Le, Amirhossein Kazerouni +8Visual Token Pruning Test-Time Adaptation of VLMs
AI Center-Toronto, Samsung Electronics · University of Toronto · Vector Institute +1
On Asymmetric Optimization of Reasoning and Perception in Vision-Language Model Post-Training
May 28, 2026Xueqing Wu, Yu-Chi Lin, Kai-Wei Chang +1Supervised Fine-Tuning Vision-Language Models
University of California, Los Angeles
The Abstraction Gap in Vision-Language Causal Reasoning
May 27, 2026Chinh Hoang, Mohammad Rashedul HasanVLM Evaluation Causal Reasoning in Language Models
Department of Electrical and Computer Engineering, University of Nebraska–Lincoln, Lincoln, Nebraska, USA.
Can MLLMs Reason Beyond Language? VisReason: A Comprehensive Benchmark for Vision-Centric Reasoning
May 25, 2026Longteng Guo, Yifan Wang, Pengkang Huo +4Visual Reasoning VLM Reasoning
Institute of Automation, Chinese Academy of Sciences · School of Artificial Intelligence, University of Chinese Academy of Sciences
From Seeing to Thinking: Decoupling Perception and Reasoning Improves Post-Training of Vision-Language Models
May 19, 2026Juncheng Wu, Hardy Chen, Haoqin Tu +6Vision-Language Models VLM Reasoning
Amazon · UC Santa Cruz · University of Waterloo +1
Are VLMs Seeing or Just Saying? Uncovering the Illusion of Visual Re-examination
May 15, 2026Chufan Shi, Cheng Yang, Yaokang Wu +4VLM Interpretability VLM Robustness
University of Southern California · University of California San Diego · Carnegie Mellon Univer +1
MIRL: Mutual Information-Guided Reinforcement Learning for Vision-Language Models
May 2, 2026Yin Zhang, Jiaxuan Zhao, Zonghan Wu +5VLM Reasoning Vision-Language Models
School of Mathematics, Tianjin University, Tianjin, China · Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China · Shanghai Advanced Institute of Finance (SAIFS), East China Normal University, Shanghai, China +4
Instruction-Evidence Contrastive Dual-Stream Decoding for Grounded Vision-Language Reasoning
Apr 28, 2026Yashwant Pravinrao Bangde, Debaditya RoyVLM Inference Object Hallucination in VLMs
Department of Computer Science and Engineering Indian Institute of Technology Kharagpur Kharagpur, India 721302
Foveated Reasoning: Stateful, Action-based Visual Focusing for Vision-Language Models
Apr 22, 2026Juhong Min, Lazar Valkov, Vitali Petsiuk +2Visual Reasoning Visual Attention
AI Center – Mountain View, Samsung Electronics
Reasoning Dynamics and the Limits of Monitoring Modality Reliance in Vision-Language Models
Apr 16, 2026Danae Sánchez Villegas, Samuel Lewis-Lim, Nikolaos Aletras +1CoT Faithfulness Vision-Language Models
University of Copenhagen, Department of Computer Science · University of Sheffield, School of Computer Science
Decompose, Look, and Reason: Reinforced Latent Reasoning for VLMs
Apr 8, 2026Mengdan Zhu, Senhao Cheng, Liang ZhaoVision-Language Grounding VLM Interpretability
Emory University · University of Michigan, Ann Arbor
DISSECT: Diagnosing Where Vision Ends and Language Priors Begin in Scientific VLMs
Apr 6, 2026Dikshant Kukreja, Kshitij Sah, Karan Goyal +2Reasoning for VLMs VLM Evaluation
IIIT Delhi, India
Vero: An Open RL Recipe for General Visual Reasoning
Apr 6, 2026Gabriel Sarch, Linrong Cai, Qunzhong Wang +3Reasoning for VLMs Visual Reasoning
Princeton University
Seeing the Evidence, Missing the Answer: Tool-Guided Vision-Language Models on Visual Illusions
Mar 31, 2026Xuesong Wang, Harry WangVLM Robustness Reasoning for VLMs
Wayne State University · University of Michigan
Difference Feedback: Generating Multimodal Process-Level Supervision for VLM Reinforcement Learning
Mar 29, 2026Feiding, Yongkang Zhang, Yuhao Liao +10RL for VLMs Reasoning for VLMs
Shenzhen International Graduate School, Tsinghua University, China
Tinted Frames: Question Framing Blinds Vision-Language Models
Mar 19, 2026Wan-Cyuan Fan, Jiayun Luo, Declan Kutscher +2Vision-Language Models VLM Robustness
University of British Columbia · Vector Institute for AI · University of California, Berkeley
TAU-R1: Visual Language Model for Traffic Anomaly Understanding
Mar 19, 2026Yuqiang Lin, Kehua Chen, Sam Lockyer +12Reasoning for VLMs Traffic Anomaly Detection
University of Bath, BA2 7AY, United Kingdom · University of Washington, WA 98105, USA · City of Carmel, Indiana, USA +1
HopChain: Multi-Hop Data Synthesis for Generalizable Vision-Language Reasoning
Mar 17, 2026Shenzhi Wang, Shixuan Liu, Jing Zhou +8Reasoning for VLMs VLM Reasoning
Qwen Team, Alibaba Inc. · LeapLab, Tsinghua University
The Cost of Reasoning: Chain-of-Thought Induces Overconfidence in Vision-Language Models
Mar 17, 2026Robert Welch, Emir Konuk, Kevin SmithConfidence Estimation for VLMs VLM Reasoning
KTH Royal Institute of Technology, Stockholm, Sweden · Science for Life Laboratory, Stockholm, Sweden
Multi-turn Physics-informed Vision-language Model for Physics-grounded Anomaly Detection
Mar 16, 2026Yao Gu, Xiaohao Xu, Yingna WuReasoning for VLMs Video Anomaly Detection
Shanghaitech University · University of Michigan, Ann Arbor
Vision Verification Enhanced Fusion of VLMs for Efficient Visual Reasoning
Mar 13, 2026Selim Furkan Tekin, Yichang Xu, Gaowen Liu +3VLM Hallucination Mitigation VLM Reasoning
Georgia Institute of Technology · Cisco Systems

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Xiaomi-Lens-0 Technical Report

Pei Fu, Yike Liu, Yue Sun, Hanmo Wang+11

Xiaoai Plus, SeerRay Team

Large Vision-Language Models Referring Image Segmentation Reasoning for VLMs Multimodal Semantic Segmentation

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Multimodal large language models (MLLMs) answer questions about whole images well, yet they still struggle with fine-grained region understanding. A key reason is that text-only supervision never specifies which regions support an answer. To close this gap, we present Xiaomi-Lens-0, a 4B MLLM built on Qwen3.5 that predicts masks from its own visual representations. Specifically, a lightweight decoder combines vision-encoder patch features with visual latents, the language model's mask-token states, so mask supervision reaches the shared backbone without an additional segmentation encoder. Because each latent decodes to a mask, the model can interleave reasoning with region-specific latents and thus think with visual latents, while grounded reasoning traces supervise the regions it visits during chain-of-thought. As a result, across all eight RefCOCO, RefCOCO+, and RefCOCOg splits, Xiaomi-Lens-0 gains 5.6 points on average over Qwen3.5 in referring comprehension and achieves the highest segmentation cIoU among compared models. Moreover, it surpasses Qwen3.5 across all perception benchmarks. Homepage: this https URL