OmniVCBench: Benchmarking Evidence-Grounded Multimodal Reasoning Towards AI Virtual Cells
cs.AI, q-bio.QM
Submitted: 2026-09-29
Updated: 2026-09-29
Code: https://github.com/MiniMax-AI/MiniMax-M3
Terminology
Sources
- Qwen3-VL Technical Report
- Qwen2.5-VL Technical Report
- HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale
- GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents
- LoRA: Low-Rank Adaptation of Large Language Models
- LABBench2: An Improved Benchmark for AI Systems Performing Biology Research
- LLaVA-OneVision: Easy Visual Task Transfer
- Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking
- MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific Understanding
- Benchmarking virtual cell models for in-the-wild perturbation response
- SmolVLM: Redefining small and efficient multimodal models
- Virtual Cells: Predict, Explain, Discover
- InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
- DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
- HiSciBench: A Hierarchical Multi-disciplinary Benchmark for Scientific Intelligence from Reading to Discovery
- SC-Arena: A Natural Language Benchmark for Single-Cell Reasoning with Knowledge-Augmented Evaluation
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