mlsanityData to 7 Oct 2026

Olympus: A Universal Task Router for Computer Vision Tasks

arXiv 2412.09612 ↗First posted 12 Dec 2024cs.CV cs.AI cs.CLcited by 4

On the map: Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning

Abstract (arXiv)

We introduce Olympus, a new approach that transforms Multimodal Large Language Models (MLLMs) into a unified framework capable of handling a wide array of computer vision tasks. Utilizing a controller MLLM, Olympus delegates over 20 specialized tasks across images, videos, and 3D objects to dedicated modules. This instruction-based routing enables complex workflows through chained actions without the need for training heavy generative models. Olympus easily integrates with existing MLLMs, expanding their capabilities with comparable performance. Experimental results demonstrate that Olympus achieves an average routing accuracy of 94.75% across 20 tasks and precision of 91.82% in chained action scenarios, showcasing its effectiveness as a universal task router that can solve a diverse range of computer vision tasks. Project page: http://yuanze-lin.me/Olympus_page/

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Placed in VLM benchmarks and visual reasoning, one of 16 directions in Multimodal LLMs / vision-language models. Builds on 87 of its 100 references that are in the map. First posted on arXiv 12 Dec 2024.

Builds on

87 of 100 references.

Closest ancestors · 4

Same direction, newest first

  1. 2024Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models27 Mar
  2. 2024MobileVLM V2: Faster and Stronger Baseline for Vision Language Model6 Feb
  3. 2023Kosmos-2: Grounding Multimodal Large Language Models to the World26 Jun
  4. 2022Flamingo: a Visual Language Model for Few-Shot Learning29 Apr

Other references · 83

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 2.

4 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2025ECVL-ROUTER: Scenario-Aware Routing for Vision-Language Models
  2. 2025VL-RouterBench: A Benchmark for Vision-Language Model Routing
  3. 2023RoboLLM: Robotic Vision Tasks Grounded on Multimodal Large Language Models
  4. 2026MMR-Bench: A Comprehensive Benchmark for Multimodal LLM Routing
  5. 2025NanoVLA: Routing Decoupled Vision-Language Understanding for Nano-sized Generalist Robotic Policies
  6. 2024SOLO: A Single Transformer for Scalable Vision-Language Modeling
  7. 2026VersaViT: Enhancing MLLM Vision Backbones via Task-Guided Optimization
  8. 2025Long-Tailed Distribution-Aware Router For Mixture-of-Experts in Large Vision-Language Model