DeepVision-103K: A Visually Diverse, Broad-Coverage, and Verifiable Mathematical Dataset for Multimodal Reasoning
On the map: LLM reasoning → Multimodal reasoning
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
- 2025OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe20 Nov
- 2025Vision-G1: Towards General Vision Language Reasoning with Multi-Domain Data Curation18 Aug
- 2025We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical Reasoning14 Aug
- 2025Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning22 Jul
- 2025VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning17 Jul
- 2025MiMo-VL Technical Report4 Jun
- 2025Visionary-R1: Mitigating Shortcuts in Visual Reasoning with Reinforcement Learning20 May
- 2025Game-RL: Synthesizing Multimodal Verifiable Game Data to Boost VLMs' General Reasoning20 May
- 2025VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning10 Apr
- 2025SoTA with Less: MCTS-Guided Sample Selection for Data-Efficient Visual Reasoning Self-Improvement10 Apr
- 2025R1-Onevision: Advancing Generalized Multimodal Reasoning through Cross-Modal Formalization13 Mar
- 2025LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL10 Mar
8 more
- 2025MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning10 Mar
- 2024CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal Models4 Sep
- 2024MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models30 Aug
- 2024LogicVista: Multimodal LLM Logical Reasoning Benchmark in Visual Contexts6 Jul
- 2024We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?1 Jul
- 2024M3CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought26 May
- 2024PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns20 Mar
- 2024Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset22 Feb
Other references · 14
- 2025DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learningcited by 6,146
- 2025Qwen3-VL Technical Reportcited by 2,534
- 2023MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGIcited by 2,044
- 2024OpenAI o1 System Cardcited by 1,220
- 2025Group Sequence Policy Optimizationcited by 788
- 2024MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?cited by 573
- 2018PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understandingcited by 521
- 2025SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wildcited by 505
- 2024MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmarkcited by 494
- 2021Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoningcited by 376
- 2025DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoningcited by 261
- 2025Spurious Rewards: Rethinking Training Signals in RLVRcited by 199
Built on by
Citing papers per year: 2026: 5.
5 papers.
- 2026Reinforcement Learning with Robust Rubric Rewardscited by 2
- 2026Trace: A Taxonomy-Guided Environment for Multidomain Visual Reasoningcited by 1
- 2026VC-Tooler: Learning Compositional and Adaptive Visual Tool Usecited by 0
- 2026ChitraMiti: Benchmarking Visual Grounding and Modality Reliance in Bengali Geometric Reasoningcited by 0
- 2026MMVistaReason: Toward Open-Data and Post-Training Recipes for Multimodal Reasoningcited by 0
- 2026MMVistaReason: Toward Open-Data and Post-Training Recipes for Multimodal Reasoning1 Oct 2026
- 2026ChitraMiti: Benchmarking Visual Grounding and Modality Reliance in Bengali Geometric Reasoning11 Sep 2026
- 2026VC-Tooler: Learning Compositional and Adaptive Visual Tool Use3 Aug 2026
- 2026Trace: A Taxonomy-Guided Environment for Multidomain Visual Reasoning22 Jul 2026
- 2026Reinforcement Learning with Robust Rubric Rewards28 May 2026
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