Look Where You Say You're Looking: Self-Grounded Attention for Visual Reasoning
cs.CV
Submitted: 2026-10-04
Updated: 2026-10-04
Code: https://github.com/peterant330/Saliency_R1
Sources
- Qwen3-VL Technical Report
- Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence
- Gaze Heads: How VLMs Look at What They Describe
- Are Language Models Puzzle Prodigies? Algorithmic Puzzles Unveil Serious Challenges in Multimodal Reasoning
- GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
- Attend to Evidence: Evidence-Anchored Spatial Attention Supervision for Multimodal RLVR
- Reinforced Attention Learning
- MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
- LogicVista: Multimodal LLM Logical Reasoning Benchmark in Visual Contexts
- Reinforced MLLM: A Survey on RL-Based Reasoning in Multimodal Large Language Models
- CVBench: Benchmarking Cross-Video Synergies for Complex Multimodal Reasoning
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