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cs.AI2026
When Prompts Become Pixels: Prompt-Region Grounding for Multimodal Reasoning
Yongxin Wang, Ruizhe Zhou, Yueling Tang +4
Multimodal large language models increasingly reason over screenshots and documents where the task itself may be written in pixels. Yet benchmarks usually place questions in text,…
cs.AI2026
Accordion-Thinking: Self-Regulated Step Summaries for Efficient and Readable LLM Reasoning
Zhicheng Yang, Zhijiang Guo, Yinya Huang +5
Scaling test-time compute via long Chain-of-Thought unlocks remarkable gains in reasoning capabilities, yet it faces practical limits due to the linear growth of KV cache and quadr…