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Notes on representation learning
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HRIL: Learning Multimodal Synergy via Higher-Order Tensor Modeling
The preprint frames multimodal synergy as higher-order dependence that can be lost by pairwise fusion. HRIL uses an empirical cross-moment tensor with Tucker decomposition and a synergy-aware regularizer. The authors…
Inside the Unfair Judge: A Mechanistic Interpretability Account of LLM-as-Judge Bias
The research investigates bias in Large Language Models (LLMs) acting as judges by exploring representation-level accounts, focusing on the hidden state of the LLM, complementing input-output level studies. The study…
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