mlsanityData to 14 Oct 2026

NVIDIA Nemotron Nano V2 VL

arXiv 2511.03929 ↗First posted 6 Nov 2025cs.LG cs.AI cs.CVcited by 17

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Abstract (arXiv)

We introduce Nemotron Nano V2 VL, the latest model of the Nemotron vision-language series designed for strong real-world document understanding, long video comprehension, and reasoning tasks. Nemotron Nano V2 VL delivers significant improvements over our previous model, Llama-3.1-Nemotron-Nano-VL-8B, across all vision and text domains through major enhancements in model architecture, datasets, and training recipes. Nemotron Nano V2 VL builds on Nemotron Nano V2, a hybrid Mamba-Transformer LLM, and innovative token reduction techniques to achieve higher inference throughput in long document and video scenarios. We are releasing model checkpoints in BF16, FP8, and FP4 formats and sharing large parts of our datasets, recipes and training code.

Key facts. Cited by 17 papers in the map (data through 14 Oct 2026). Builds on 124 of its 153 references that are in the map. First posted on arXiv 6 Nov 2025.

Builds on

124 of 153 references.

References · 124

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38 more
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50 most cited of 124 All 124 (JSON)

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 2; 2026: 15.

17 papers.

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  1. 2026MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Modelscited by 7
  2. 2025A Benchmark for Omni-Modal Reasoning in Long Videoscited by 5
  3. 2025TimeViper: A Hybrid Mamba-Transformer Vision-Language Model for Efficient Long Video Understandingcited by 4
  4. 2026CarePilot: A Multi-Agent Framework for Long-Horizon Computer Task Automation in Healthcarecited by 4
  5. 2026MAVEN: A Multi-stage Agentic Annotation Pipeline for Video Reasoning Taskscited by 2
  6. 2026Advancing WordArt-Oriented Scene Text Recognition: Datasets and Methodscited by 2
  7. 2026DataComp-VLM: Improved Open Datasets for Vision-Language Modelscited by 2
  8. 2026GeoSym127K: Scalable Symbolically-verifiable Synthesis for Multimodal Geometric Reasoningcited by 1
  9. 2026Multi-Legal-Bench: Evaluating LLMs on Legal Reasoning Across Jurisdictions, Languages, and Legal Traditionscited by 1
  10. 2026A Unified Revisit of Temperature in Classification-Based Knowledge Distillationcited by 0
  11. 2026True (VIS) Lies: Analyzing How Generative AI Recognizes Intentionality, Rhetoric, and Misleadingness in Visualization Liescited by 0
  12. 2026Jagle: Building a Large-Scale Japanese Multimodal Post-Training Dataset for Vision-Language Modelscited by 0
5 more
  1. 2026Beyond RGB: Benchmarking and Enhancing MLLMs for Hyperspectral Image Understanding via Training-Free Reasoning Frameworkcited by 0
  2. 2026RealDocBench: A Benchmark for Field-Level QA and Layout Understanding on Real-World Regulated Documentscited by 0
  3. 2026AMALIA-VL: A Native European Portuguese Open-Source Vision and Language Modelcited by 0
  4. 2026Trustworthy Image Authentication using Forensic Knowledge Graphscited by 0
  5. 2026MindTopo: Can Foundation Models Reason in Topological Space?cited by 0

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