HaPRL: Human-Anchored Process Reinforcement Learning for Visual Search Agent
cs.CV
Submitted: 2026-09-29
Updated: 2026-09-29
Code: https://github.com/zhangquanchen/HAPRL
Terminology
Sources
- LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training
- Qwen3-VL Technical Report
- VisRL: Intention-Driven Visual Perception via Reinforced Reasoning
- SIFThinker: Spatially-Aware Image Focus for Visual Reasoning
- 4DThinker: Thinking with 4D Imagery for Dynamic Spatial Understanding
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- MM-PRM: Enhancing Multimodal Mathematical Reasoning with Scalable Step-Level Supervision
- Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
- Reinforcement Learning with Rubric Anchors
- Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search
- Tulu 3: Pushing Frontiers in Open Language Model Post-Training
- Visual Agentic Reinforcement Fine-Tuning
- Improve Mathematical Reasoning in Language Models by Automated Process Supervision
- Unlocking Multimodal Mathematical Reasoning via Process Reward Model
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Solving math word problems with process- and outcome-based feedback
- Checklists Are Better Than Reward Models For Aligning Language Models
- Pixel Reasoner: Incentivizing Pixel-Space Reasoning with Curiosity-Driven Reinforcement Learning
- VisualPRM: An Effective Process Reward Model for Multimodal Reasoning
- Adaptive Chain-of-Focus Reasoning via Dynamic Visual Search and Zooming for Efficient VLMs
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