{"total":21,"rows":[{"id":"2501.13106","title":"VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding","created":"2025-01-22","cited_by_count":518,"area":null},{"id":"2501.15368","title":"Baichuan-Omni-1.5 Technical Report","created":"2025-01-26","cited_by_count":111,"area":null},{"id":"2504.05506","title":"ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering","created":"2025-04-07","cited_by_count":108,"area":null},{"id":"2502.18778","title":"M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance","created":"2025-02-26","cited_by_count":19,"area":null},{"id":"2507.11810","title":"Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator","created":"2025-07-16","cited_by_count":9,"area":null},{"id":"2409.19747","title":"Natural Language Generation for Visualizations: State of the Art, Challenges and Future Directions","created":"2024-09-29","cited_by_count":6,"area":null},{"id":"2503.13369","title":"Sightation Counts: Leveraging Sighted User Feedback in Building a BLV-aligned Dataset of Diagram Descriptions","created":"2025-03-17","cited_by_count":3,"area":null},{"id":"2510.26781","title":"ChartAB: A Benchmark for Chart Grounding & Dense Alignment","created":"2025-10-30","cited_by_count":3,"area":null},{"id":"2509.13282","title":"ChartGaze: Enhancing Chart Understanding in LVLMs with Eye-Tracking Guided Attention Refinement","created":"2025-09-16","cited_by_count":2,"area":null},{"id":"2601.04582","title":"Aligning Text, Code, and Vision: A Multi-Objective Reinforcement Learning Framework for Text-to-Visualization","created":"2026-01-08","cited_by_count":2,"area":null},{"id":"2603.28902","title":"ChartDiff: A Large-Scale Benchmark for Comprehending Pairs of Charts","created":"2026-03-30","cited_by_count":2,"area":null},{"id":"2602.10138","title":"Multimodal Information Fusion for Chart Understanding: A Survey of MLLMs -- Evolution, Limitations, and Cognitive Enhancement","created":"2026-02-08","cited_by_count":1,"area":null},{"id":"2604.17894","title":"Automatic Slide Updating with User-Defined Dynamic Templates and Natural Language Instructions","created":"2026-04-20","cited_by_count":1,"area":null},{"id":"2605.26994","title":"ChartAct: A Benchmark for Dynamic Chart Understanding","created":"2026-05-26","cited_by_count":1,"area":null},{"id":"2509.03535","title":"QuesGenie: Intelligent Multimodal Question Generation","created":"2025-08-27","cited_by_count":0,"area":null},{"id":"2602.10023","title":"MEVER: Multi-Modal and Explainable Claim Verification with Graph-based Evidence Retrieval","created":"2026-02-10","cited_by_count":0,"area":null},{"id":"2603.06677","title":"Chart Deep Research in LVLMs via Parallel Relative Policy Optimization","created":"2026-03-03","cited_by_count":0,"area":null},{"id":"2604.21344","title":"Beyond Single Plots: A Benchmark for Question Answering on Multi-Charts","created":"2026-04-23","cited_by_count":0,"area":null},{"id":"2604.24987","title":"Assessing Y-Axis Influence: Bias in Multimodal Language Models on Chart-to-Table Translation","created":"2026-04-27","cited_by_count":0,"area":null},{"id":"2608.06062","title":"Bar-JEPA: Extracting Values from Bar Chart with Joint-Embedding Predictive Architecture","created":"2026-08-06","cited_by_count":0,"area":null},{"id":"2609.38642","title":"ChartRevise: A Dataset and Evaluation Protocol for Exact Chart Editing via Code","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":null}