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cs.AI2026
Residual Dominance as a Structural Account of Last-Item Reliance in Causal Self-Attention Recommenders
Keito Kozaki, Keigo Sakurai, Ren Togo +2
Transformer-based sequential recommenders with causal self-attention often rely heavily on the most recent interaction at inference time, but how this behavior is structurally expr…
cs.AI2026
Dynamic Objective Selection with Safeguards and LLM Oversight for Financial Decision-Making
Keigo Sakurai, Takahiro Ogawa, Miki Haseyama +2
Financial decision-making tasks such as stock recommendation and portfolio allocation typically estimate future return and risk and then select trades or allocations for an investo…