Adaptive Interleaved Reasoning in Multimodal LLMs

A new paper introduces AIR, a method enabling multimodal LLMs to adaptively interleave reasoning with code execution, addressing numerical computation gaps in current MLLM tool-use approaches.

One continuously updated timeline instead of dozens of separate articles. New developments are appended as the story evolves.

1. AnnouncementJun 22, 2026, 05:58 PM 84%

   Researchers propose AIR, enabling MLLMs to adaptively interleave reasoning with code execution for numerical computation and dynamic problem-solving.

   A new paper introduces AIR, a method enabling multimodal LLMs to adaptively interleave reasoning with code execution, addressing numerical computation gaps in current MLLM tool-use approaches.

   Read the full story →