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continual learning 23 reinforcement learning 9 language models 6 benchmarking 4 natural language processing 4 AI agents 3 vision-language models 3 world models 3

31 JUL 2026 · Paper

Evaluation-Verification Reward for Consistent Multi-Reference Image Editing

This paper develops a new method to evaluate and verify image editing consistency across multiple references, addressing a challenge in reinforcement learning for multi-reference editing. Practitioners may care about this approach as it enables more accurate and reliable reinforcement learning for image editing tasks.

reinforcement learning image editing multi-reference evaluation verification reward multimodal large language models

30 JUL 2026 · Paper

Beacon: Knowing When and How to Perform Agentic Visual Reasoning

This paper proposes a new approach to agentic visual reasoning, which helps large language models (LLMs) perform better on complex tasks by using tools more efficiently. Practitioners might care about this research because it aims to improve the performance of LLMs on challenging problems.

agentic visual reasoning multimodal large language models tool use mode adaptiveness tool effect reinforcement learning