Author

Jaeseung Heo

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#artificial intelligence Preprint Sep 2026

Scaling Influence Functions in LLMs through Eigenbasis-Corrected One-Bit Gradient Projection

This work describes the optimal fixed-dimensional linear representation and proposes eigenbasis-corrected one-bit gradient projection (EOGP) to approximate it at scale and predicts retraining outcomes more accurately than the evaluated compression baselines while using one-sixteenth of their per-example storage.

Jaeseung Heo, J. Rosser, Dongwoo Kim · 0 citations

#natural language process... May 2026

Long Live the Librarian! A Persistent Search Sub-Agent for Energy-Efficient Multi-Agent Software Engineering Systems

Librarian, a persistent search sub-agent that tracks repository-search history and suppresses redundant exploration actions across agents is proposed, which reduces per-episode GPU energy consumption of existing multi-agent SWE systems while preserving task performance.

Seunghyuk Cho, Sunghyun Choi, Jaeseung Heo et al. · arXiv.org · 0 citations