Self-Correction in VLMs

VLM: Vision-Language Model

Latest papers

15 papers2 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

GroundSight at GroundLM 2026 Shared Tasks: GoldenViewVQA
Oct 8, 2026Kun Wang, Yupeng Hu, Ruping Cao +4Self-Correction in VLMs Visual Question Answering
School of Software, Shandong University, Jinan, China · School of Computing, National University of Singapore, Singapore · School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China
When to Rethink: Learning Multi-Perspective Self-Verification for Vision-Language Models
Oct 4, 2026Ziquan Zhu, Hanruo Zhu, Si-Yuan Lu +10Self-Correction in VLMs VLM Reasoning
University of Leicester · Nanjing University of Posts and Telecommunications · University of North Carolina at Chapel Hill +5
LOCI: A Locator-Critic with Refinement Loop
Aug 31, 2026Walid Bousselham, Mathilde Caron, Arsha Nagrani +1Visual Question Answering Vision-Language Grounding
Google DeepMind
SAVER: Selective Auditing of Verbal Evidence for Error Recovery in VLM Change Reasoning
Aug 24, 2026Youdi LiSelf-Correction in VLMs VLM Reasoning
Panasonic Connect Co., Ltd. Tokyo, Japan
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
SVR-R1: Bootstrapping Multi-modal Reasoning with Self-verification in Reinforcement Learning
Jul 13, 2026Mingyuan Wu, Jingcheng Yang, Shengyi Qian +11Vision-Language Models Multimodal Reasoning
University of Illinois Urbana-Champaign · Meta
The Count Is There, but Misaligned: Understanding and Correcting Counting Failures in VLMs
Jul 10, 2026Ahmed Oumar El-Shangiti, Abzal Nurgazy, Hilal AlQuabeh +2Vision-Language Models VLM Interpretability
MBZUAI · Imperial College London
Visually Grounded Self-Reflection for Vision-Language Models via Reinforcement Learning
Jul 2, 2026Liyan Tang, Fangcong Yin, Greg DurrettVisually Grounded Reasoning Vision-Language Models
The University of Texas at Austin · New York University
ESC: Emotional Self-Correction for Reliable Vision-Language Models
Jul 1, 2026Tien-Huy Nguyen, Minh-Nhat Nguyen, Nguyen Nhat Huy +9LLM Self-Correction VLM Reasoning
GenAI4E Lab · University of Information Technology, Ho Chi Minh City, Vietnam · Vietnam National University, Ho Chi Minh City, Vietnam +10
Iterative Visual Thinking and the Self-Correction Mirage in VLM Grounding
Jun 11, 2026Animesh Tripathy, Aswanth KrishnanVLM Evaluation Vision-Language Grounding
QpiAI India Pvt. Ltd.
Aligning with Your Own Voice: Self-Corrected Preference Learning for Hallucination Mitigation in LVLMs
Apr 27, 2026Byeonggeuk Lim, JungMin Yun, Junehyoung Kwon +2Vision-Language Models Hallucination in Language Models
Graduate School of Advanced Imaging Sciences, Multimedia and Film, Chung-Ang University · Department of Artificial Intelligence, Chung-Ang University
When VLMs 'Fix' Students: Identifying and Penalizing Over-Correction in the Evaluation of Multi-line Handwritten Math OCR
Apr 1, 2026Jin Seong, Wencke Liermann, Minho Kim +2Handwritten Mathematical Expression Recognition Self-Correction in VLMs
Electronics and Telecommunications Research Institute, Republic of Korea
Self-Correction Inside the Model: Leveraging Layer Attention to Mitigate Hallucinations in Large Vision Language Models
Feb 28, 2026April FuCross-Layer Attention Self-Correction in VLMs
Independent Researcher
OCR-Agent: Agentic OCR with Capability and Memory Reflection
Feb 24, 2026Shimin Wen, Zeyu Zhang, Xingdou Bian +5Self-Correction in VLMs Vision-Language Models
Southwest Minzu University · AI Geeks
Bridging Modality Disconnect in Self-Reflection via Closed-Loop Visually Grounded Verification
Feb 21, 2026Haoyu Zhang, Yuwei Wu, Pengxiang Li +6Self-Correction in VLMs Vision-Language Models
Beijing Institute of Technology · Shenzhen MSU-BIT University

Oct 8, 2026J/K move · Enter open · S save

GroundSight at GroundLM 2026 Shared Tasks: GoldenViewVQA

Kun Wang, Yupeng Hu, Ruping Cao, Hao Liu+3

School of Software, Shandong University, Jinan, China · School of Computing, National University of Singapore, Singapore · School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, China

Self-Correction in VLMs Visual Question Answering Multimodal Grounding Vision-Language Models VLM Evaluation Autonomous Driving Perception

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GoldenViewVQA requires models to jointly answer driving-scene questions and identify the camera view containing the supporting visual evidence, making precise evidence localization as important as answer correctness. We present CoVeR-VQA, a training-free multi-stage verification and correction framework for grounded multi-view VQA. Starting from GPT-5.6 zero-shot predictions, CoVeR-VQA progressively applies view-specific verification with Gemini-3.6-Flash, prior-guided joint verification with Claude-Opus-5, and cross-split group-level verification that exploits semantically filtered question groups from shared multi-view scenes and validation-derived prior knowledge. On the official GoldenViewVQA test set, the four-stage CoVeR-VQA pipeline achieves 84.75% Joint Accuracy, improving the GPT-5.6 zero-shot baseline by 13.56 percentage points, while reaching 94.92% Answer Accuracy and 86.44% View Accuracy. The final submitted run achieves 88.14% Joint Accuracy after two additional evaluator-informed post-hoc corrections. Our analysis shows that supporting-view localization remains the primary source of residual errors, highlighting the importance of explicit evidence verification for reliable multi-view multimodal reasoning.