Who cites «A Corpus for Reasoning About Natural Language Grounded in Photographs (NLVR2)»

192 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

CLEVR-3D-DeRef — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
Evaluating Discriminability of Vision-Language Models — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
ITNet: A Learnable Integral Transform That Subsumes Convolution, Attention, and Recurrence — 2026 · arXiv:2606.19538
Localizing Events in Space: Comparing Humans and AI Models — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
MiSCHiEF: A Benchmark in Minimal-Pairs of Safety and Culture for Holistic Evaluation of Fine-Grained Image-Caption Alignment — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)
Mind''s Eye: A Benchmark of Visual Abstraction, Transformation and Composition for Multimodal LLMs — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
More Images, More Problems? A Controlled Analysis of VLM Failure Modes. — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
On the Additive Compositionality of Task Vectors in Vision–Language Models — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)
S2H-DPO: Hardness-Aware Preference Optimization for Vision–Language Models — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
AbsVis – Benchmarking How Humans and Vision-Language Models ``See'' Abstract Concepts in Images — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Breaking Language Barriers in Visual Language Models via Multilingual Textual Regularization — 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
Burn After Reading: Do Multimodal Large Language Models Truly Capture Order of Events in Image Sequences? — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Centurio: On Drivers of Multilingual Ability of Large Vision-Language Model — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
ColorFoil: Investigating Color Blindness in Large Vision and Language Models — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)
Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Evaluation of Multilingual Image Captioning: How far can we get with CLIP models? — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
GlyphPattern: An Abstract Pattern Recognition for Vision-Language Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Looking Beyond the Pixels: Evaluating Visual Metaphor Understanding in VLMs — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
M4-RAG: A Massive-Scale Multilingual Multi-Cultural Multimodal RAG — 2025 · arXiv:2512.05959
MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Multilingual Vision-Language Models, A Survey — 2025 · arXiv:2509.22123
Quantifying Memorization and Parametric Response Rates in Retrieval-Augmented Vision-Language Models — 2025 · Proceedings of the First Workshop on Large Language Model Memorization (L2M2)
RealBench: A Chinese Multi-image Understanding Benchmark Close to Real-world Scenarios — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
TAMP: Token-Adaptive Layerwise Pruning in Multimodal Large Language Models — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
The Artificial Intelligence Cognitive Examination: A Survey on the Evolution of Multimodal Evaluation from Recognition to Reasoning — 2025 · arXiv:2510.04141 · IEEE Access, vol. 14, Dec. 2025, Art. no. 3649182
Weaving Context Across Images: Improving Vision-Language Models through Focus-Centric Visual Chains — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
What Is Missing in Multilingual Visual Reasoning and How to Fix It — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
An Efficient Post-hoc Framework for Reducing Task Discrepancy of Text Encoders for Composed Image Retrieval — 2024 · arXiv:2406.09188
Attribute Diversity Determines the Systematicity Gap in VQA — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Browse and Concentrate: Comprehending Multimodal Content via Prior-LLM Context Fusion — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Curriculum Masking in Vision-Language Pretraining to Maximize Cross Modal Interaction — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
DoRA: Weight-Decomposed Low-Rank Adaptation — 2024 · arXiv:2402.09353
EVil-Probe - a Composite Benchmark for Extensive Visio-Linguistic Probing — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Evaluating In-Context Learning of Libraries for Code Generation — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling — 2024 · arXiv:2412.05271
FRoG: Evaluating Fuzzy Reasoning of Generalized Quantifiers in LLMs — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
FineCops-Ref: A new Dataset and Task for Fine-Grained Compositional Referring Expression Comprehension — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Improving Vision-Language Cross-Lingual Transfer with Scheduled Unfreezing — 2024 · Proceedings of the 3rd Workshop on Advances in Language and Vision Research (ALVR)
LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models — 2024 · arXiv:2407.07895
LLaVA-OneVision: Easy Visual Task Transfer — 2024 · arXiv:2408.03326
LightVLP: A Lightweight Vision-Language Pre-training via Gated Interactive Masked AutoEncoders — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
MANTIS: Interleaved Multi-Image Instruction Tuning — 2024 · arXiv:2405.01483 · Transactions on Machine Learning Research 2024
MIBench: Evaluating Multimodal Large Language Models over Multiple Images — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
MultiSkill: Evaluating Large Multimodal Models for Fine-grained Alignment Skills — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
PaliGemma: A versatile 3B VLM for transfer — 2024 · arXiv:2407.07726
Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
SparseFlow: Accelerating Transformers by Sparsifying Information Flows — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Spatial and Temporal Language Understanding: Representation, Reasoning, and Grounding — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 5: Tutorial Abstracts)
TAME-RD: Text Assisted Replication of Image Multi-Adjustments for Reverse Designing — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
TransferCVLM: Transferring Cross-Modal Knowledge for Vision-Language Modeling — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
VDebugger: Harnessing Execution Feedback for Debugging Visual Programs — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
VISREAS: Complex Visual Reasoning with Unanswerable Questions — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
Visual-Textual Entailment with Quantities Using Model Checking and Knowledge Injection — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
What Matters in Training a GPT4-Style Language Model with Multimodal Inputs? — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
What matters when building vision-language models? — 2024 · arXiv:2405.02246
mBLIP: Efficient Bootstrapping of Multilingual Vision-LLMs — 2024 · Proceedings of the 3rd Workshop on Advances in Language and Vision Research (ALVR)
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models — 2024 · arXiv:2408.04840
中文图文多模态理解评测 — 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)
Accelerating Vision-Language Pretraining with Free Language Modeling — 2023 · arXiv:2303.14038
An Empirical Study of Multimodal Model Merging — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Cultural Concept Adaptation on Multimodal Reasoning — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Dealing with Semantic Underspecification in Multimodal NLP — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Debiasing Multimodal Models via Causal Information Minimization — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
EfficientVLM: Fast and Accurate Vision-Language Models via Knowledge Distillation and Modal-adaptive Pruning — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Fusion or Defusion? Flexible Vision-and-Language Pre-Training — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Images in Language Space: Exploring the Suitability of Large Language Models for Vision & Language Tasks — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
LAVIS: A One-stop Library for Language-Vision Intelligence — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning — 2023 · arXiv:2309.07915
ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Measuring Progress in Fine-grained Vision-and-Language Understanding — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Medical Visual Textual Entailment for Numerical Understanding of Vision-and-Language Models — 2023 · Proceedings of the 5th Clinical Natural Language Processing Workshop
Meta-learning For Vision-and-language Cross-lingual Transfer — 2023 · Proceedings of the 3rd Workshop on Multi-lingual Representation Learning (MRL)
Modular Visual Question Answering via Code Generation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Multitask Multimodal Prompted Training for Interactive Embodied Task Completion — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Natural Language Reasoning, A Survey — 2023 · arXiv:2303.14725
Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Processing Referential Ambiguities in Situated Dialogue Systems — 2023 · Proceedings of the 19th Annual Meeting of the Young Reseachers' Roundtable on Spoken Dialogue Systems
PuMer: Pruning and Merging Tokens for Efficient Vision Language Models — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
Scaling Vision-Language Models with Sparse Mixture of Experts — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
Text encoders bottleneck compositionality in contrastive vision-language models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Toward Building General Foundation Models for Language, Vision, and Vision-Language Understanding Tasks — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
TraVLR: Now You See It, Now You Don''t! A Bimodal Dataset for Evaluating Visio-Linguistic Reasoning — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
Unifying Cross-Lingual and Cross-Modal Modeling Towards Weakly Supervised Multilingual Vision-Language Pre-training — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Vision Language Pre-training by Contrastive Learning with Cross-Modal Similarity Regulation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Vision-Language Models for Vision Tasks: A Survey — 2023 · arXiv:2304.00685
Visual Spatial Reasoning — 2023
Weakly Supervised Vision-and-Language Pre-training with Relative Representations — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Weakly-Supervised Learning of Visual Relations in Multimodal Pretraining — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
What's ``up'' with vision-language models? Investigating their struggle with spatial reasoning — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
lilGym: Natural Language Visual Reasoning with Reinforcement Learning — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)