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Models that appear equally accurate can possess vastly different agentic reasoning capabilities, revealing the hidden complexities of LLM performance.
Latent-OPD reveals that distilling latent representations at trajectory endpoints can dramatically enhance video reasoning efficiency in LMMs.
TopoAgent's innovative use of dynamic graph evolution allows for noise-resistant scientific reasoning that outperforms traditional linear models.
