{"total":101,"rows":[{"id":"2411.00860","title":"Survey of Cultural Awareness in Language Models: Text and Beyond","created":"2024-10-30","cited_by_count":103,"area":null},{"id":"2411.16508","title":"All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages","created":"2024-11-25","cited_by_count":55,"area":"wm"},{"id":"2411.19325","title":"GEOBench-VLM: Benchmarking Vision-Language Models for Geospatial Tasks","created":"2024-11-28","cited_by_count":51,"area":"mllm"},{"id":"2501.02189","title":"A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges","created":"2025-01-04","cited_by_count":47,"area":"mllm"},{"id":"2501.01282","title":"CultureVLM: Characterizing and Improving Cultural Understanding of Vision-Language Models for over 100 Countries","created":"2025-01-02","cited_by_count":42,"area":"mllm"},{"id":"2410.12705","title":"WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines","created":"2024-10-16","cited_by_count":39,"area":"mllm"},{"id":"2410.02677","title":"CulturalBench: A Robust, Diverse, and Challenging Cultural Benchmark by Human-AI CulturalTeaming","created":"2024-10-03","cited_by_count":30,"area":null},{"id":"2411.06032","title":"LLM-GLOBE: A Benchmark Evaluating the Cultural Values Embedded in LLM Output","created":"2024-11-09","cited_by_count":27,"area":null},{"id":"2505.21315","title":"Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Ahead","created":"2025-05-27","cited_by_count":16,"area":null},{"id":"2503.10688","title":"CULEMO: Cultural Lenses on Emotion -- Benchmarking LLMs for Cross-Cultural Emotion Understanding","created":"2025-03-12","cited_by_count":14,"area":null},{"id":"2510.05931","title":"Hire Your Anthropologist! Rethinking Culture Benchmarks Through an Anthropological Lens","created":"2025-10-07","cited_by_count":14,"area":null},{"id":"2505.21693","title":"MAKIEval: A Multilingual Automatic WiKidata-based Framework for Cultural Awareness Evaluation for LLMs","created":"2025-05-27","cited_by_count":13,"area":null},{"id":"2509.19274","title":"DRISHTIKON: A Multimodal Multilingual Benchmark for Testing Language Models' Understanding on Indian Culture","created":"2025-09-23","cited_by_count":13,"area":null},{"id":"2509.16188","title":"CultureScope: A Dimensional Lens for Probing Cultural Understanding in LLMs","created":"2025-09-19","cited_by_count":12,"area":null},{"id":"2410.15453","title":"CROPE: Evaluating In-Context Adaptation of Vision and Language Models to Culture-Specific Concepts","created":"2024-10-20","cited_by_count":11,"area":null},{"id":"2502.14865","title":"Time Travel: A Comprehensive Benchmark to Evaluate LMMs on Historical and Cultural Artifacts","created":"2025-02-20","cited_by_count":11,"area":null},{"id":"2503.22610","title":"Evaluating Multimodal Language Models as Visual Assistants for Visually Impaired Users","created":"2025-03-28","cited_by_count":11,"area":"mllm"},{"id":"2505.23224","title":"MMBoundary: Advancing MLLM Knowledge Boundary Awareness through Reasoning Step Confidence Calibration","created":"2025-05-29","cited_by_count":11,"area":"lr"},{"id":"2511.05681","title":"Culture in Action: Evaluating Text-to-Image Models through Social Activities","created":"2025-11-07","cited_by_count":10,"area":"diffusion"},{"id":"2505.14462","title":"RAVENEA: A Benchmark for Multimodal Retrieval-Augmented Visual Culture Understanding","created":"2025-05-20","cited_by_count":9,"area":"mllm"},{"id":"2408.13534","title":"Cultural Adaptation of Menus: A Fine-Grained Approach","created":"2024-08-24","cited_by_count":8,"area":null},{"id":"2503.00069","title":"Societal Alignment Frameworks Can Improve LLM Alignment","created":"2025-02-27","cited_by_count":8,"area":"alignment"},{"id":"2503.17485","title":"SaudiCulture: A Benchmark for Evaluating Large Language Models Cultural Competence within Saudi Arabia","created":"2025-03-21","cited_by_count":8,"area":null},{"id":"2411.03888","title":"Multi3Hate: Multimodal, Multilingual, and Multicultural Hate Speech Detection with Vision-Language Models","created":"2024-11-06","cited_by_count":7,"area":"mllm"},{"id":"2603.18472","title":"Cognitive Mismatch in Multimodal Large Language Models for Discrete Symbol Understanding","created":"2026-03-19","cited_by_count":7,"area":"mllm"},{"id":"2409.18023","title":"DARE: Diverse Visual Question Answering with Robustness Evaluation","created":"2024-09-26","cited_by_count":6,"area":"mllm"},{"id":"2601.13024","title":"Tears or Cheers? Benchmarking LLMs via Culturally Elicited Distinct Affective Responses","created":"2026-01-19","cited_by_count":6,"area":null},{"id":"2506.01565","title":"Hanfu-Bench: A Multimodal Benchmark on Cross-Temporal Cultural Understanding and Transcreation","created":"2025-06-02","cited_by_count":5,"area":null},{"id":"2510.06371","title":"OASIS: A Multilingual and Multimodal Dataset for Culturally Grounded Spoken Visual QA","created":"2025-10-07","cited_by_count":5,"area":null},{"id":"2410.19419","title":"KAHANI: Culturally-Nuanced Visual Storytelling Tool for Non-Western Cultures","created":"2024-10-25","cited_by_count":4,"area":null},{"id":"2411.14647","title":"Benchmarking Multimodal Models for Ukrainian Language Understanding Across Academic and Cultural Domains","created":"2024-11-22","cited_by_count":4,"area":null},{"id":"2412.20541","title":"SAFE-MEME: Structured Reasoning Framework for Robust Hate Speech Detection in Memes","created":"2024-12-29","cited_by_count":4,"area":null},{"id":"2505.11275","title":"TCC-Bench: Benchmarking the Traditional Chinese Culture Understanding Capabilities of MLLMs","created":"2025-05-16","cited_by_count":4,"area":"mllm"},{"id":"2505.14729","title":"Uncovering Cultural Representation Disparities in Vision-Language Models","created":"2025-05-20","cited_by_count":4,"area":"mllm"},{"id":"2505.24456","title":"CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation","created":"2025-05-30","cited_by_count":4,"area":null},{"id":"2507.22752","title":"CUS-QA: Local-Knowledge-Oriented Open-Ended Question Answering Dataset","created":"2025-07-30","cited_by_count":4,"area":null},{"id":"2508.02241","title":"Isolating Culture Neurons in Multilingual Large Language Models","created":"2025-08-04","cited_by_count":4,"area":null},{"id":"2509.23208","title":"A Structured Framework for Evaluating and Enhancing Interpretive Capabilities of Multimodal LLMs in Culturally Situated Tasks","created":"2025-09-27","cited_by_count":4,"area":"mllm"},{"id":"2510.20042","title":"Exposing Blindspots: Cultural Bias Evaluation in Generative Image Models","created":"2025-10-22","cited_by_count":4,"area":null},{"id":"2503.16826","title":"When Tom Eats Kimchi: Evaluating Cultural Bias of Multimodal Large Language Models in Cultural Mixture Contexts","created":"2025-03-21","cited_by_count":3,"area":"mllm"},{"id":"2505.15075","title":"Traveling Across Languages: Benchmarking Cross-Lingual Consistency in Multimodal LLMs","created":"2025-05-21","cited_by_count":3,"area":"mllm"},{"id":"2505.22793","title":"Evaluation of Cultural Competence of Vision-Language Models","created":"2025-05-28","cited_by_count":3,"area":"mllm"},{"id":"2507.06210","title":"CultureCLIP: Empowering CLIP with Cultural Awareness through Synthetic Images and Contextualized Captions","created":"2025-07-08","cited_by_count":3,"area":"mllm"},{"id":"2509.23311","title":"Seeing Symbols, Missing Cultures: Probing Vision-Language Models' Reasoning on Fire Imagery and Cultural Meaning","created":"2025-09-27","cited_by_count":3,"area":"lr"},{"id":"2510.01247","title":"Let's Play Across Cultures: A Large Multilingual, Multicultural Benchmark for Assessing Language Models' Understanding of Sports","created":"2025-09-24","cited_by_count":3,"area":null},{"id":"2510.11178","title":"BLEnD-Vis: Benchmarking Multimodal Cultural Understanding in Vision Language Models","created":"2025-10-13","cited_by_count":3,"area":"mllm"},{"id":"2510.24942","title":"Finding Culture-Sensitive Neurons in Vision-Language Models","created":"2025-10-28","cited_by_count":3,"area":"mllm"},{"id":"2511.17004","title":"Vision Language Models are Confused Tourists","created":"2025-11-21","cited_by_count":3,"area":"mllm"},{"id":"2511.22787","title":"World in a Frame: Understanding Culture Mixing as a New Challenge for Vision-Language Models","created":"2025-11-27","cited_by_count":3,"area":"mllm"},{"id":"2601.07986","title":"VULCA-Bench: A Multicultural Vision-Language Benchmark for Evaluating Cultural Understanding","created":"2026-01-12","cited_by_count":3,"area":"mllm"},{"id":"2601.17706","title":"A Computational Approach to Visual Metonymy","created":"2026-01-25","cited_by_count":3,"area":"mllm"},{"id":"2603.21165","title":"Many Dialects, Many Languages, One Cultural Lens: Evaluating Multilingual VLMs for Bengali Culture Understanding Across Historically Linked Languages and Regional Dialects","created":"2026-03-22","cited_by_count":3,"area":null},{"id":"2504.11108","title":"Benchmarking Vision Language Models on German Factual Data","created":"2025-04-15","cited_by_count":2,"area":"mllm"},{"id":"2505.20326","title":"Cultural Awareness in Vision-Language Models: A Cross-Country Exploration","created":"2025-05-23","cited_by_count":2,"area":"mllm"},{"id":"2507.03330","title":"Exploring Object Status Recognition for Recipe Progress Tracking in Non-Visual Cooking","created":"2025-07-04","cited_by_count":2,"area":null},{"id":"2508.03079","title":"Bias Beyond Demographics: Probing Decision Boundaries in Black-Box LVLMs via Counterfactual VQA","created":"2025-08-05","cited_by_count":2,"area":"mllm"},{"id":"2510.00041","title":"Culture In a Frame: C$^3$B as a Comic-Based Benchmark for Multimodal Culturally Awareness","created":"2025-09-27","cited_by_count":2,"area":"mllm"},{"id":"2512.01419","title":"Rice-VL: Evaluating Vision-Language Models for Cultural Understanding Across ASEAN Countries","created":"2025-12-01","cited_by_count":2,"area":"mllm"},{"id":"2601.05699","title":"Afri-MCQA: Multimodal Cultural Question Answering for African Languages","created":"2026-01-09","cited_by_count":2,"area":null},{"id":"2603.01211","title":"A Unified Framework to Quantify Cultural Intelligence of AI","created":"2026-03-01","cited_by_count":2,"area":null},{"id":"2604.13776","title":"Who Gets Flagged? The Pluralistic Evaluation Gap in AI Content Watermarking","created":"2026-04-15","cited_by_count":2,"area":"safety"},{"id":"2608.27135","title":"Said Aloud, Read Different: Cross-Modal Instability in Multimodal Models","created":"2026-08-27","cited_by_count":2,"area":null},{"id":"2502.07455","title":"RusCode: Russian Cultural Code Benchmark for Text-to-Image Generation","created":"2025-02-11","cited_by_count":1,"area":null},{"id":"2508.16762","title":"Toward Socially Aware Vision-Language Models: Evaluating Cultural Competence Through Multimodal Story Generation","created":"2025-08-22","cited_by_count":1,"area":"mllm"},{"id":"2509.22123","title":"Multilingual Vision-Language Models, A Survey","created":"2025-09-26","cited_by_count":1,"area":"mllm"},{"id":"2512.17394","title":"Are Vision Language Models Cross-Cultural Theory of Mind Reasoners?","created":"2025-12-19","cited_by_count":1,"area":"lr"},{"id":"2601.07984","title":"Cross-Cultural Expert-Level Art Critique Evaluation with Vision-Language Models","created":"2026-01-12","cited_by_count":1,"area":"mllm"},{"id":"2601.10649","title":"MINERVA-Cultural: A Benchmark for Cultural and Multilingual Long Video Reasoning","created":"2026-01-15","cited_by_count":1,"area":"lr"},{"id":"2603.10814","title":"HanMoVLM: Large Vision-Language Models for Professional Artistic Painting Evaluation","created":"2026-03-11","cited_by_count":1,"area":"mllm"},{"id":"2604.06484","title":"ValueGround: Evaluating Culture-Conditioned Visual Value Grounding in MLLMs","created":"2026-04-07","cited_by_count":1,"area":null},{"id":"2604.11632","title":"CArtBench: Evaluating Vision-Language Models on Chinese Art Understanding, Interpretation, and Authenticity","created":"2026-04-13","cited_by_count":1,"area":"mllm"},{"id":"2605.19190","title":"Going PLACES: Participatory Localized Red Teaming for Text-to-Image Safety in the Global South","created":"2026-05-18","cited_by_count":1,"area":"safety"},{"id":"2606.20676","title":"Jury Duty: Calibration and Orientation Failures in MLLM-as-a-Judge Under Cultural Ambiguity","created":"2026-06-12","cited_by_count":1,"area":null},{"id":"2607.04683","title":"Failing to See or Failing to Know? Attributing Errors in Vision-Language Models","created":"2026-07-06","cited_by_count":1,"area":"mllm"},{"id":"2607.27798","title":"MemeBench: What LVLMs Miss When Interpreting Culture-Dependent Memes","created":"2026-07-30","cited_by_count":1,"area":"mllm"},{"id":"2608.01942","title":"CultureVidBench: Benchmarking Cultural Understanding in Text-to-Video Generation","created":"2026-08-03","cited_by_count":1,"area":null},{"id":"2608.07763","title":"Jako Tako or Fluent? Presenting PoVisLE: A Polish Vision-Language Evaluation","created":"2026-08-07","cited_by_count":1,"area":"mllm"},{"id":"2609.11532","title":"Prompt Revision as a Source of Cultural Bias in Text-to-Image Systems","created":"2026-09-10","cited_by_count":1,"area":null},{"id":"2510.16198","title":"EgMM-Corpus: A Multimodal Vision-Language Dataset for Egyptian Culture","created":"2025-10-17","cited_by_count":0,"area":"mllm"},{"id":"2510.26861","title":"Evaluating Perspectival Biases in Cross-Modal Retrieval","created":"2025-10-30","cited_by_count":0,"area":null},{"id":"2602.12659","title":"IndicFairFace: Balanced Indian Face Dataset for Auditing and Mitigating Geographical Bias in Vision-Language Models","created":"2026-02-13","cited_by_count":0,"area":"mllm"},{"id":"2603.06687","title":"TimeSpot: Benchmarking Geo-Temporal Understanding in Vision-Language Models in Real-World Settings","created":"2026-03-04","cited_by_count":0,"area":"wm"},{"id":"2603.22249","title":"EgoGroups: A Benchmark For Detecting Social Groups of People in the Wild","created":"2026-03-23","cited_by_count":0,"area":null},{"id":"2603.23521","title":"Chitrakshara: A Large Multilingual Multimodal Dataset for Indian languages","created":"2026-03-06","cited_by_count":0,"area":null},{"id":"2603.26013","title":"Toward Culturally Grounded Natural Language Processing","created":"2026-03-27","cited_by_count":0,"area":null},{"id":"2604.07468","title":"M-ArtAgent: Evidence-Based Multimodal Agent for Implicit Art Influence Discovery","created":"2026-04-08","cited_by_count":0,"area":"agents"},{"id":"2605.15071","title":"On the Cultural Anachronism and Temporal Reasoning in Vision Language Models","created":"2026-05-14","cited_by_count":0,"area":"lr"},{"id":"2605.31401","title":"\"\\^{I}n\\c{t}elegi Rom\\^ane\\c{s}te?'' A Recipe for Romanian Vision-Language Models","created":"2026-05-29","cited_by_count":0,"area":"mllm"},{"id":"2606.03345","title":"Beyond Semantics: Modeling Factual and Affective Perceptual Experiences from Vision-Language Data","created":"2026-06-02","cited_by_count":0,"area":null},{"id":"2606.07311","title":"CultureScore: Evaluating Cultural Faithfulness in Video Generation Models","created":"2026-06-05","cited_by_count":0,"area":null},{"id":"2606.08034","title":"Sci-Rho: A Multilingual Visually-Grounded Symbolic Benchmark for STEM Problems","created":"2026-06-06","cited_by_count":0,"area":null},{"id":"2606.19727","title":"NRITYAM: Language Models Meet Art and Heritage of Dance","created":"2026-06-18","cited_by_count":0,"area":"mllm"},{"id":"2607.06196","title":"Pluralis v0.1: Towards a Multicultural, Multimodal, Multilingual Benchmark for AI Risk and Reliability","created":"2026-07-07","cited_by_count":0,"area":"mllm"},{"id":"2607.19011","title":"Computational Humor with Multimodal LLMs: Methods, Datasets, Evaluation, and Challenges","created":"2026-07-21","cited_by_count":0,"area":"mllm"},{"id":"2608.03358","title":"ArtECulture: Benchmarking Culture-Conditioned Visual Emotion Understanding in Multimodal Large Language Models","created":"2026-08-04","cited_by_count":0,"area":"mllm"},{"id":"2608.09316","title":"MemeMind: Reference-Guided Trace Construction for Offline Context Optimization","created":"2026-08-10","cited_by_count":0,"area":null},{"id":"2608.21853","title":"PUMA: A Polish Benchmark for Culturally Grounded Multimodal Understanding","created":"2026-08-22","cited_by_count":0,"area":null},{"id":"2608.30475","title":"ImageEval 2026: Culturally Grounded Arabic Multimodal Evaluation","created":"2026-08-31","cited_by_count":0,"area":null},{"id":"2609.22494","title":"CultureMINE: Datasets and Methods for Improving the Cultural Capabilities of NLP Systems","created":"2026-09-18","cited_by_count":0,"area":null},{"id":"2609.25298","title":"FineWeb-CLaR: Culture, Language, and Region Annotations for Benchmark-Aligned Corpus Auditing","created":"2026-09-21","cited_by_count":0,"area":null}],"next_cursor":"100"}