TRIBE v2 is a multimodal AI model that predicts human brain activity more accurately than linear encoding models and recovers established neuroscientific findings through in-silico testing.
Proceedings of the National Academy of Sciences , volume=
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
MTA is a distillation method that aligns teacher-student LLM representations along their transformation trajectories using layer-adaptive granularities and dynamic structural plus hidden representation alignment losses.
citing papers explorer
-
MTA: Multi-Granular Trajectory Alignment for Large Language Model Distillation
MTA is a distillation method that aligns teacher-student LLM representations along their transformation trajectories using layer-adaptive granularities and dynamic structural plus hidden representation alignment losses.