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cs.AI2026
AdaRoPE: Not All Attention Heads Should Rotate and Scale Equally
Shaowen Wang, Yuke Zheng, Tansheng Zhu +4
Rotary Position Embedding (RoPE) is widely adopted in Transformers to encode positional information, yet standard implementations enforce a uniform frequency schedule and scaling a…
cs.AI2026
Agentic-MME: What Agentic Capability Really Brings to Multimodal Intelligence?
Qianshan Wei, Yishan Yang, Siyi Wang +12
Multimodal Large Language Models (MLLMs) are evolving from passive observers into active agents, solving problems through Visual Expansion (invoking visual tools) and Knowledge Exp…