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cs.AI2026
FaVOR: LLM-Based Agentic Framework for Factor Mining via Empirical Validation
Hyeonjin Kim, Minseok Kim, Seunghyeon Jung +3
Traditional finance relies on experts to hand-craft factors through a principled process grounded in economic rationale. Recent LLM-based multi-agent systems have automated this pr…
cs.AI2025
Safety-Preserving PTQ via Contrastive Alignment Loss
Sunghyun Wee, Suyoung Kim, Hyeonjin Kim +2
Post-Training Quantization (PTQ) has become the de-facto standard for efficient LLM deployment, yet its optimization objective remains fundamentally incomplete. Standard PTQ method…