mlsanityData to 7 Oct 2026

DeepVision-103K: A Visually Diverse, Broad-Coverage, and Verifiable Mathematical Dataset for Multimodal Reasoning

arXiv 2602.16742 ↗First posted 18 Feb 2026cs.LG cs.AIcited by 5

On the map: LLM reasoning → Multimodal reasoning

also in 1 more
Abstract (arXiv)

Reinforcement Learning with Verifiable Rewards (RLVR) has been shown effective in enhancing the visual reflection and reasoning capabilities of Large Multimodal Models (LMMs). However, existing datasets are predominantly derived from either small-scale manual construction or recombination of prior resources, which limits data diversity and coverage, thereby constraining further gains in model performance. To this end, we introduce DeepVision-103K, a comprehensive dataset for RLVR training that covers diverse K12 mathematical topics, extensive knowledge points, and rich visual elements. Models trained on DeepVision achieve strong performance on multimodal mathematical benchmarks, and generalize effectively to general multimodal reasoning tasks. Further analysis reveals enhanced visual perception, reflection and reasoning capabilities in trained models, validating DeepVision's effectiveness for advancing multimodal reasoning. Data: hrefhttps://huggingface.co/datasets/skylenage/DeepVision-103Kthis url.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Placed in Multimodal reasoning, one of 17 directions in LLM reasoning. Builds on 34 of its 41 references that are in the map. First posted on arXiv 18 Feb 2026.

Builds on

34 of 41 references.

Closest ancestors · 20

Same direction, newest first

  1. 2025OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe20 Nov
  2. 2025Vision-G1: Towards General Vision Language Reasoning with Multi-Domain Data Curation18 Aug
  3. 2025We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical Reasoning14 Aug
  4. 2025Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning22 Jul
  5. 2025VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning17 Jul
  6. 2025MiMo-VL Technical Report4 Jun
  7. 2025Visionary-R1: Mitigating Shortcuts in Visual Reasoning with Reinforcement Learning20 May
  8. 2025Game-RL: Synthesizing Multimodal Verifiable Game Data to Boost VLMs' General Reasoning20 May
  9. 2025VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning10 Apr
  10. 2025SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement10 Apr
  11. 2025R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization13 Mar
  12. 2025LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL10 Mar
8 more
  1. 2025MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning10 Mar
  2. 2024CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal Models4 Sep
  3. 2024MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models30 Aug
  4. 2024LogicVista: Multimodal LLM Logical Reasoning Benchmark in Visual Contexts6 Jul
  5. 2024We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?1 Jul
  6. 2024M3CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought26 May
  7. 2024PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns20 Mar
  8. 2024Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset22 Feb

Other references · 14

  1. 2025DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learningcited by 6,146
  2. 2025Qwen3-VL Technical Reportcited by 2,534
  3. 2023MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGIcited by 2,044
  4. 2024OpenAI o1 System Cardcited by 1,220
  5. 2025Group Sequence Policy Optimizationcited by 788
  6. 2024MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?cited by 573
  7. 2018PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understandingcited by 521
  8. 2025SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wildcited by 505
  9. 2024MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmarkcited by 494
  10. 2021Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoningcited by 376
  11. 2025DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoningcited by 261
  12. 2025Spurious Rewards: Rethinking Training Signals in RLVRcited by 199
2 more
  1. 2025Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contaminationcited by 81
  2. 2025CurES: From Gradient Analysis to Efficient Curriculum Learning for Reasoning LLMscited by 16

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 5.

5 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2025Perception-R1: Advancing Multimodal Reasoning Capabilities of MLLMs via Visual Perception Reward
  2. 2025MoDoMoDo: Multi-Domain Data Mixtures for Multimodal LLM Reinforcement Learning
  3. 2025Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models
  4. 2025WeThink: Toward General-purpose Vision-Language Reasoning via Reinforcement Learning
  5. 2025InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
  6. 2026Bridging Perception and Reasoning: Token Reweighting for RLVR in Multimodal LLMs
  7. 2026See It, Say It, Sorted: An Iterative Training-Free Framework for Visually-Grounded Multimodal Reasoning in LVLMs
  8. 2025GThinker: Towards General Multimodal Reasoning via Cue-Guided Rethinking