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Natural Language Understanding and Inference with MLLM in Visual Question Answering: A Survey
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Outgoing claims: the papers this work cites, builds on, or argues with.
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UNITER: UNiversal Image-TExt Representation Learning
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Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
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MATHVERSE: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
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GPT-4o: The Cutting-Edge Advancement in Multimodal LLM
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DBpedia: A Nucleus for a Web of Open Data
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Indoor Segmentation and Support Inference from RGBD Images
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Vietnamese Elementary Math Reasoning Using Large Language Model with Refined Translation and Dense-Retrieved Chain-of-Thought
inferredcites →https://doi.org/10.1007/s11263-016-0981-7openalex-snapshot
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
inferredcites →https://doi.org/10.1007/s11432-024-4231-5openalex-snapshot
How far are we to GPT-4V? Closing the gap to commercial multimodal models with open-source suites
inferredcites →https://doi.org/10.1016/j.cviu.2017.05.001openalex-snapshot
Visual question answering: A survey of methods and datasets
inferredcites →https://doi.org/10.1016/j.cviu.2017.06.005openalex-snapshot
Visual question answering: Datasets, algorithms, and future challenges
inferredcites →https://doi.org/10.1016/j.inffus.2019.03.005openalex-snapshot
Information fusion in visual question answering: A Survey
inferredcites →https://doi.org/10.1016/j.inffus.2024.102270openalex-snapshot
From image to language: A critical analysis of Visual Question Answering (VQA) approaches, challenges, and opportunities
inferredcites →https://doi.org/10.1016/j.patrec.2021.09.008openalex-snapshot
Visual question answering: Which investigated applications?
inferredcites →https://doi.org/10.1016/j.patter.2022.100520openalex-snapshot
Are we ready for a new paradigm shift? A survey on visual deep MLP
inferredcites →https://doi.org/10.1023/b:bttj.0000047600.45421.6dopenalex-snapshot
ConceptNet — A Practical Commonsense Reasoning Tool-Kit
inferredcites →https://doi.org/10.1109/c-m.1971.216793openalex-snapshot
International Conference on Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr.1993openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2016.10openalex-snapshot
Stacked Attention Networks for Image Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2016.11openalex-snapshot
Image Question Answering Using Convolutional Neural Network with Dynamic Parameter Prediction
inferredcites →https://doi.org/10.1109/cvpr.2016.494openalex-snapshot
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
inferredcites →https://doi.org/10.1109/cvpr.2016.499openalex-snapshot
Where to Look: Focus Regions for Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2016.500openalex-snapshot
Ask Me Anything: Free-Form Visual Question Answering Based on Knowledge from External Sources
inferredcites →https://doi.org/10.1109/cvpr.2016.540openalex-snapshot
Visual7W: Grounded Question Answering in Images
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.215openalex-snapshot
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
inferredcites →https://doi.org/10.1109/cvpr.2017.232openalex-snapshot
Dual Attention Networks for Multimodal Reasoning and Matching
inferredcites →https://doi.org/10.1109/cvpr.2017.344openalex-snapshot
Graph-Structured Representations for Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2017.670openalex-snapshot
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2018.00380openalex-snapshot
VizWiz Grand Challenge: Answering Visual Questions from Blind People
inferredcites →https://doi.org/10.1109/cvpr.2018.00522openalex-snapshot
Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2018.00636openalex-snapshot
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2018.00637openalex-snapshot
Improved Fusion of Visual and Language Representations by Dense Symmetric Co-attention for Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2019.00331openalex-snapshot
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge
inferredcites →https://doi.org/10.1109/cvpr.2019.00681openalex-snapshot
Cycle-Consistency for Robust Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr.2019.00686openalex-snapshot
GQA: A New Dataset for Real-World Visual Reasoning and Compositional Question Answering
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01028openalex-snapshot
In Defense of Grid Features for Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01045openalex-snapshot
12-in-1: Multi-Task Vision and Language Representation Learning
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01278openalex-snapshot
Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00503openalex-snapshot
MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01763openalex-snapshot
An Empirical Study of Training End-to-End Vision-and-Language Transformers
inferredcites →https://doi.org/10.1109/cvpr52729.2023.01046openalex-snapshot
From Images to Textual Prompts: Zero-shot Visual Question Answering with Frozen Large Language Models
inferredcites →https://doi.org/10.1109/cvpr52729.2023.01438openalex-snapshot
Prompting Large Language Models with Answer Heuristics for Knowledge-Based Visual Question Answering
inferredcites →https://doi.org/10.1109/cvpr52733.2024.02283openalex-snapshot
Intern VL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
inferredcites →https://doi.org/10.1109/cvprw63382.2024.00060openalex-snapshot
Charting New Territories: Exploring the Geographic and Geospatial Capabilities of Multimodal LLMs
inferredcites →https://doi.org/10.1109/iccv.2015.510openalex-snapshot
Learning Spatiotemporal Features with 3D Convolutional Networks
inferredcites →https://doi.org/10.1109/iccv.2017.202openalex-snapshot
Multi-modal Factorized Bilinear Pooling with Co-attention Learning for Visual Question Answering
inferredcites →https://doi.org/10.1109/iccv.2019.01039openalex-snapshot
Language-Conditioned Graph Networks for Relational Reasoning
inferredcites →https://doi.org/10.1109/iccv.2019.01041openalex-snapshot
Relation-Aware Graph Attention Network for Visual Question Answering
inferredcites →https://doi.org/10.1109/iccv48922.2021.00220openalex-snapshot
Auto-Parsing Network for Image Captioning and Visual Question Answering
inferredcites →https://doi.org/10.1109/iccv48922.2021.00986openalex-snapshot
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
inferredcites →https://doi.org/10.1109/icscds56580.2023openalex-snapshot
2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)
inferredcites →https://doi.org/10.1109/itca52113.2020openalex-snapshot
2020 2nd International Conference on Information Technology and Computer Application (ITCA)
inferredcites →https://doi.org/10.1109/tkde.2023.3267036openalex-snapshot
Event-Oriented Visual Question Answering: The E-VQA Dataset and Benchmark
inferredcites →https://doi.org/10.1109/tnnls.2020.3045034openalex-snapshot
Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1109/tpami.2017.2754246openalex-snapshot
FVQA: Fact-Based Visual Question Answering
inferredcites →https://doi.org/10.1109/tpami.2022.3148210openalex-snapshot
From Show to Tell: A Survey on Deep Learning-Based Image Captioning
inferredcites →https://doi.org/10.1109/tpami.2024.3366154openalex-snapshot
Robust Visual Question Answering: Datasets, Methods, and Future Challenges
inferredcites →https://doi.org/10.1109/tvcg.2024.3456159openalex-snapshot
Advancing Multimodal Large Language Models in Chart Question Answering with Visualization-Referenced Instruction Tuning
inferredcites →https://doi.org/10.1109/wacv48630.2021.00225openalex-snapshot
DocVQA: A Dataset for VQA on Document Images
inferredcites →https://doi.org/10.1145/3394171.3413943openalex-snapshot
Boosting Visual Question Answering with Context-aware Knowledge Aggregation
inferredcites →https://doi.org/10.1145/3404835.3462987openalex-snapshot
Passage Retrieval for Outside-Knowledge Visual Question Answering
inferredcites →https://doi.org/10.1145/3477495.3531753openalex-snapshot
ViQuAE, a Dataset for Knowledge-based Visual Question Answering about Named Entities
inferredcites →https://doi.org/10.1145/3489142openalex-snapshot
Inner Knowledge-based Img2Doc Scheme for Visual Question Answering
inferredcites →https://doi.org/10.1145/3581783.3612837openalex-snapshot
Finetuning Language Models for Multimodal Question Answering
inferredcites →https://doi.org/10.13140/rg.2.2.19065.65121openalex-snapshot
HALLUSIONBENCH: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models
inferredcites →https://doi.org/10.1609/aaai.v34i07.6795openalex-snapshot
Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training
inferredcites →https://doi.org/10.1609/aaai.v35i4.16431openalex-snapshot
ERNIE-ViL: Knowledge Enhanced Vision-Language Representations through Scene Graphs
inferredcites →https://doi.org/10.1609/aaai.v36i10.21346openalex-snapshot
Dynamic Key-Value Memory Enhanced Multi-Step Graph Reasoning for Knowledge-Based Visual Question Answering
inferredcites →https://doi.org/10.1609/aaai.v36i3.20215openalex-snapshot
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.642openalex-snapshot
Aligned Dual Channel Graph Convolutional Network for Visual Question Answering
inferredcites →https://doi.org/10.18653/v1/2020.coling-main.169openalex-snapshot
Towards Knowledge-Augmented Visual Question Answering
inferredcites →https://doi.org/10.18653/v1/2020.emnlp-main.550openalex-snapshot
Dense Passage Retrieval for Open-Domain Question Answering
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.44openalex-snapshot
ConceptBert: Concept-Aware Representation for Visual Question Answering
inferredcites →https://doi.org/10.18653/v1/2021.acl-long.202openalex-snapshot
UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning
inferredcites →https://doi.org/10.18653/v1/2022.acl-long.29openalex-snapshot
Hypergraph Transformer: Weakly-Supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering
inferredcites →https://doi.org/10.18653/v1/2022.acl-long.556openalex-snapshot
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
inferredcites →https://doi.org/10.18653/v1/2022.emnlp-main.518openalex-snapshot
Extending Phrase Grounding with Pronouns in Visual Dialogues
inferredcites →https://doi.org/10.18653/v1/2023.findings-emnlp.755openalex-snapshot
IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models
inferredcites →https://doi.org/10.18653/v1/2024.acl-long.469openalex-snapshot
Towards Real-World Writing Assistance: A Chinese Character Checking Benchmark with Faked and Misspelled Characters
inferredcites →https://doi.org/10.18653/v1/d16-1044openalex-snapshot
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
inferredcites →https://doi.org/10.18653/v1/d19-1514openalex-snapshot
LXMERT: Learning Cross-Modality Encoder Representations from Transformers
inferredcites →https://doi.org/10.24963/ijcai.2024/381openalex-snapshot
LLMs Can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought
inferredcites →https://doi.org/10.4230/lipics.itp.2023.19openalex-snapshot
Exploiting Generative AI to Scale up Intelligent Tutoring Systems
inferredcites →https://doi.org/10.48550/arxiv.1310.4546openalex-snapshot
Distributed Representations of Words and Phrases and their Compositionality
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1410.0210openalex-snapshot
A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input
inferredcites →https://doi.org/10.48550/arxiv.1505.02074openalex-snapshot
Exploring Models and Data for Image Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1506.00278openalex-snapshot
Visual Madlibs: Fill in the blank Image Generation and Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1606.00061openalex-snapshot
Hierarchical Question-Image Co-Attention for Visual Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1711.04323openalex-snapshot
High-Order Attention Models for Visual Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1712.00733openalex-snapshot
Incorporating External Knowledge to Answer Open-Domain Visual Questions with Dynamic Memory Networks
inferredcites →https://doi.org/10.48550/arxiv.1806.07243openalex-snapshot
Learning Conditioned Graph Structures for Interpretable Visual Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1811.00538openalex-snapshot
Out of the Box: Reasoning with Graph Convolution Nets for Factual Visual Question Answering
inferredcites →https://doi.org/10.48550/arxiv.1908.02265openalex-snapshot
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
inferredcites →https://doi.org/10.48550/arxiv.1908.07490openalex-snapshot
LXMERT: Learning Cross-Modality Encoder Representations from Transformers
inferredcites →https://doi.org/10.48550/arxiv.1908.08530openalex-snapshot
VL-BERT: Pre-training of Generic Visual-Linguistic Representations
inferredcites →https://doi.org/10.48550/arxiv.2004.00849openalex-snapshot
Pixel-BERT: Aligning Image Pixels with Text by Deep Multi-Modal Transformers
inferredcites →https://doi.org/10.48550/arxiv.2006.06195openalex-snapshot
Large-Scale Adversarial Training for Vision-and-Language Representation Learning
inferredcites →https://doi.org/10.48550/arxiv.2011.10731openalex-snapshot
LRTA: A Transparent Neural-Symbolic Reasoning Framework with Modular Supervision for Visual Question Answering
inferredcites →https://doi.org/10.48550/arxiv.2012.15409openalex-snapshot
UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning
inferredcites →https://doi.org/10.48550/arxiv.2012.15484openalex-snapshot
Seeing is Knowing! Fact-based Visual Question Answering using Knowledge Graph Embeddings
inferredcites →https://doi.org/10.48550/arxiv.2106.13884openalex-snapshot
Multimodal Few-Shot Learning with Frozen Language Models
inferredcites →https://doi.org/10.48550/arxiv.2107.07651openalex-snapshot
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
inferredcites →https://doi.org/10.48550/arxiv.2201.12086openalex-snapshot
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
inferredcites →https://doi.org/10.48550/arxiv.2204.14198openalex-snapshot
Flamingo: a Visual Language Model for Few-Shot Learning
inferredcites →https://doi.org/10.48550/arxiv.2205.12255openalex-snapshot
TALM: Tool Augmented Language Models
inferredcites →https://doi.org/10.48550/arxiv.2212.12017openalex-snapshot
OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization
inferredcites →https://doi.org/10.48550/arxiv.2302.00923openalex-snapshot
Multimodal Chain-of-Thought Reasoning in Language Models
inferredcites →https://doi.org/10.48550/arxiv.2303.04671openalex-snapshot
Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models
inferredcites →https://doi.org/10.48550/arxiv.2303.11381openalex-snapshot
MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action
inferredcites →https://doi.org/10.48550/arxiv.2304.10592openalex-snapshot
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
inferredcites →https://doi.org/10.48550/arxiv.2305.02317openalex-snapshot
Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings
inferredcites →https://doi.org/10.48550/arxiv.2306.15195openalex-snapshot
Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic
inferredcites →https://doi.org/10.48550/arxiv.2309.07915openalex-snapshot
MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning
inferredcites →https://doi.org/10.48550/arxiv.2310.00647openalex-snapshot
Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context Learning
inferredcites →https://doi.org/10.48550/arxiv.2310.11441openalex-snapshot
Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V
inferredcites →https://doi.org/10.48550/arxiv.2311.04257openalex-snapshot
mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration
inferredcites →https://doi.org/10.48550/arxiv.2311.11268openalex-snapshot
Towards Real-World Writing Assistance: A Chinese Character Checking Benchmark with Faked and Misspelled Characters
inferredcites →https://doi.org/10.48550/arxiv.2312.11805openalex-snapshot
Gemini: A Family of Highly Capable Multimodal Models
inferredcites →https://doi.org/10.48550/arxiv.2312.12436openalex-snapshot
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inferredcites →https://doi.org/10.48550/arxiv.2401.11944openalex-snapshot
CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark
inferredcites →https://doi.org/10.48550/arxiv.2404.16790openalex-snapshot
SEED-Bench-2-Plus: Benchmarking Multimodal Large Language Models with Text-Rich Visual Comprehension
inferredcites →https://doi.org/10.48550/arxiv.2406.05410openalex-snapshot
ChatSR: Multimodal Large Language Models for Scientific Formula Discovery
inferredcites →https://doi.org/10.48550/arxiv.2407.04973openalex-snapshot
LogicVista: Multimodal LLM Logical Reasoning Benchmark in Visual Contexts
inferredcites →https://doi.org/10.48550/arxiv.2408.11397openalex-snapshot
EAGLE: Elevating Geometric Reasoning through LLM-empowered Visual Instruction Tuning
inferredcites →https://doi.org/10.52202/075280-0939openalex-snapshot
Generating Images with Multimodal Language Models
inferredcites →https://doi.org/10.52202/075280-1292openalex-snapshot
Symbol-LLM: Leverage Language Models for Symbolic System in Visual Human Activity Reasoning
inferredcites →https://doi.org/10.52202/075280-1312openalex-snapshot
BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing
inferredcites →https://doi.org/10.52202/075280-1657openalex-snapshot
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
inferredcites →https://doi.org/10.52202/075280-1882openalex-snapshot
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inferredcites →https://doi.org/10.52202/075280-2688openalex-snapshot
VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks
inferredcites →https://doi.org/10.52202/075280-3149openalex-snapshot
GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction
inferredcites →https://doi.org/10.52202/085713openalex-snapshot
Advances in Neural Information Processing Systems 19
inferredcites →https://doi.org/10.5281/zenodo.10499038openalex-snapshot
VQA-Med: Overview of the Medical Visual Question Answering Task at ImageCLEF 2019
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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GridPrune: From “Where to look” to “What to select” in visual token pruning for MLLMs
inferred← citeshttps://doi.org/10.1016/j.neuroimage.2026.122108openalex-snapshot
Brain-inspired large model mindreading
inferred← citeshttps://doi.org/10.1016/j.patcog.2026.114549openalex-snapshot
Describe-to-Score: A text-guided framework for image complexity assessment
inferred← citeshttps://doi.org/10.1038/s40494-026-02446-2openalex-snapshot
Fidelity-driven data augmentation for multimodal large language model on architectural heritage interpretation
inferred← citeshttps://doi.org/10.1080/13658816.2025.2566795openalex-snapshot
StreetSenser: a novel approach to sensing street view via a fine-tuned multimodal large language model
inferred← citeshttps://doi.org/10.1109/access.2025.3591447openalex-snapshot
DialogueMLLM: Transforming Multimodal Emotion Recognition in Conversation Through Instruction-Tuned MLLM
inferred← citeshttps://doi.org/10.1109/access.2025.3593052openalex-snapshot
Enhancing Text Classification Through Quantum Transfer Learning: A Hybrid Quantum-Classical Approach With Complex Kernel Self-Attention Networks
inferred← citeshttps://doi.org/10.1109/cscwd68734.2026.11582536openalex-snapshot
LLM-Augmented Multimodal Recommendation with Dynamic Feature Weighting and Multi-Scale Graph Convolution
inferred← citeshttps://doi.org/10.1109/gaiis69281.2026.11519221openalex-snapshot
A multi-agent collaboration framework for scene understanding and work order generation in smart farms
inferred← citeshttps://doi.org/10.1109/hpca68181.2026.11408458openalex-snapshot
REASON: Accelerating Probabilistic Logical Reasoning for Scalable Neuro-Symbolic Intelligence
inferred← citeshttps://doi.org/10.1109/icahn67688.2025.00019openalex-snapshot
Research on Digital and Intelligent Traffic Accident Processing System
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11464937openalex-snapshot
Multi-Agent Brainstorming for Interpreting and Mitigating Hallucination in Multimodal-LLM
inferred← citeshttps://doi.org/10.1109/icdsis65355.2025.11070373openalex-snapshot
Multimodal Knowledge Question Answering System based on LLM
inferred← citeshttps://doi.org/10.1109/icici68867.2026.11565041openalex-snapshot
Transformer Based fusion for Visual Question Answering using VisualBert
inferred← citeshttps://doi.org/10.1109/iconscept66142.2025.11437368openalex-snapshot
Enhancing Chart Question Answering Using Multimodal Reasoning Techniques
inferred← citeshttps://doi.org/10.1109/ieecon68065.2026.11707026openalex-snapshot
Modeling Label Dependency and Sequencing of Boundary in Named Entity
inferred← citeshttps://doi.org/10.1109/iicaiet67254.2025.11265342openalex-snapshot
Integration of Quantum-Based Approaches into Visual Question Answering Systems
inferred← citeshttps://doi.org/10.1109/ism66958.2025.00051openalex-snapshot
Analysis of Multimodal LLMs in VQA in the Field of Radiology
inferred← citeshttps://doi.org/10.1109/isset70600.2026.11682135openalex-snapshot
Research on a Multimodal Intelligent OCR Routing Method Integrating Graph Neural Networks and Consensus Entropy
inferred← citeshttps://doi.org/10.1109/prmvai70103.2026.11605683openalex-snapshot
IVS-Attack: Improving Imperceptibility of Transferable Attacks on Vision-Language Models
inferred← citeshttps://doi.org/10.1109/smc58881.2025.11343278openalex-snapshot
BLaVe-CoT: Consistency-Aware Visual Question Answering for Blind and Low Vision Users
inferred← citeshttps://doi.org/10.1109/taslpro.2026.3675784openalex-snapshot
Alleviating Contextual Misguidance: Response-Aware Prompt Compression for Long-Context Question Answering
inferred← citeshttps://doi.org/10.1109/tcsvt.2026.3652189openalex-snapshot
Group-Relative Visual Discrimination Enhancement for Unlocking Intrinsic Capability of MLLMs
inferred← citeshttps://doi.org/10.1109/tip.2026.3700882openalex-snapshot
Explainable Action Form Assessment by Exploiting Multimodal Chain-of-Thoughts Reasoning
inferred← citeshttps://doi.org/10.1109/tmc.2026.3723966openalex-snapshot
Incremental Deployment of Containerized AI Services in Mobile Edge Networks
inferred← citeshttps://doi.org/10.1109/tqcebt67648.2026.11681658openalex-snapshot
Finetuning Lightweight VLM Models for Power & Analog Electronics VQA System
inferred← citeshttps://doi.org/10.1109/wacv61042.2026.00233openalex-snapshot
Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding
inferred← citeshttps://doi.org/10.1142/s0218194025500603openalex-snapshot
Neighbor-Aware Embedding Interaction for Link Prediction
inferred← citeshttps://doi.org/10.1142/s2196888826500144openalex-snapshot
Transformers and BiLSTM-Based Ensemble Modeling for Entity and Relation Aware Biomedical Extractive Question Answering
inferred← citeshttps://doi.org/10.1145/3708319.3733648openalex-snapshot
Exploring the Potential of Multimodal Large Language Models for Question Answering on Artworks
inferred← citeshttps://doi.org/10.1145/3743093.3770993openalex-snapshot
Can Multimodal Large Language Models Understand Human Values in Videos?
inferred← citeshttps://doi.org/10.1145/3746027.3761997openalex-snapshot
Hierarchical Vision-Language Reasoning for Multimodal Multiple-Choice Question Answering
inferred← citeshttps://doi.org/10.1145/3771090openalex-snapshot
A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems
inferred← citeshttps://doi.org/10.1145/3774904.3792739openalex-snapshot
LLMs Killed Q&A Stars? Analyzing the Impact of LLM-Generated Answers on an Online Q&A Platform
inferred← citeshttps://doi.org/10.1145/3774905.3795848openalex-snapshot
Task-Aligned Unlearning for Multimodal Large Language Models
inferred← citeshttps://doi.org/10.1145/3778534.3778554openalex-snapshot
A Multi-Clue Hierarchical Transformer for Image Captioning
inferred← citeshttps://doi.org/10.1145/3805622.3810578openalex-snapshot
Adaptive Knowledge Generation via Reinforcement-Guided Pattern Completion for Zero-Shot Visual Question Answering
inferred← citeshttps://doi.org/10.1145/3805622.3810597openalex-snapshot
Ask-to-Retrieve: VQA-Guided Information-Gain Question Selection for Interactive Text-to-Image Retrieval
inferred← citeshttps://doi.org/10.1145/3805622.3811235openalex-snapshot
Toward Trustworthy Vision-language Models in the Wild: Theory, Algorithm and Application
inferred← citeshttps://doi.org/10.1145/3805712.3809543openalex-snapshot
CoMCo: Consistency-Aware Multi-Agent Coordination for Zero-Shot Cross-Modal Entity Matching
inferred← citeshttps://doi.org/10.1145/3805712.3809637openalex-snapshot
Decoding Multimodal Cues: Unveiling the Implicit Meaning Behind Hateful Videos
inferred← citeshttps://doi.org/10.1360/csb-2026-0182openalex-snapshot
AI-driven discovery of new materials: breaking data bottlenecks and transforming research paradigms
inferred← citeshttps://doi.org/10.1371/journal.pone.0340380openalex-snapshot
Multimodal generative AI for automated pavement condition assessment: Benchmarking model performance
inferred← citeshttps://doi.org/10.2139/ssrn.5404834openalex-snapshot
Mitigating Multimodal Hallucinations Via Uncertainty-Aware Adaptive Decoding
inferred← citeshttps://doi.org/10.3390/computers14080323openalex-snapshot
Multilingual Named Entity Recognition in Arabic and Urdu Tweets Using Pretrained Transfer Learning Models
inferred← citeshttps://doi.org/10.3390/electronics14224385openalex-snapshot
Learning Path Recommendation Enhanced by Knowledge Tracing and Large Language Model
inferred← citeshttps://doi.org/10.3390/electronics15010237openalex-snapshot
Jailbreaking MLLMs via Attention Redirection and Entropy Regularization
inferred← citeshttps://doi.org/10.5753/jis.2026.7402openalex-snapshot
A Semantic Multimodal Architecture for Accessible Navigation in Immersive Virtual Environments
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