mlsanityData to 7 Oct 2026

AiSearch: Interactive Multi-Modal Search with VLMs

arXiv 2610.01389 ↗First posted 1 Oct 2026cs.AI cs.CVcited by 0

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Abstract (arXiv)

Modern retrieval systems must both be automated and interactive, allowing users to search and refine results in real time. We present AiSearch, a flexible multimodal retrieval framework that leverages the zero shot capabilities of Vision Language Models (VLMs) for natural language search over images and videos. AiSearch supports interactive search refinement through user feedback to tailor results to the user's intent, and allows visual benchmarking across multiple VLMs, enabling users to select the most suitable model for their task.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 10 of its 14 references that are in the map. First posted on arXiv 1 Oct 2026.

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References · 10

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2024Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolutioncited by 4,151
  3. 2025Qwen3-VL Technical Reportcited by 2,534
  4. 2018Real-world Anomaly Detection in Surveillance Videoscited by 570
  5. 2025SmolVLM: Redefining small and efficient multimodal modelscited by 226
  6. 2024VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Taskscited by 222
  7. 2026Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Rankingcited by 211
  8. 2025VLM2Vec-V2: Advancing Multimodal Embedding for Videos, Images, and Visual Documentscited by 110
  9. 2022Generative Cooperative Learning for Unsupervised Video Anomaly Detectioncited by 102
  10. 2024MegaPairs: Massive Data Synthesis For Universal Multimodal Retrievalcited by 84

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  1. 2026Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models
  2. 2024Vision Search Assistant: Empower Vision-Language Models as Multimodal Search Engines
  3. 2026Indexing Multimodal Language Models for Large-scale Image Retrieval
  4. 2026CVSearch: Empowering Multimodal LLMs with Cognitive Visual Search for High-Resolution Image Perception
  5. 2025IDMR: Towards Instance-Driven Precise Visual Correspondence in Multimodal Retrieval
  6. 2026Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models
  7. 2024Enhancing Interactive Image Retrieval With Query Rewriting Using Large Language Models and Vision Language Models
  8. 2026Beyond Global Similarity: Towards Fine-Grained, Multi-Condition Multimodal Retrieval