Author

Jie Cai

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Review

A Survey on Actionable Interpretability in Large Language Models

This survey reviews LLM interpretability through the lens of actionability, presenting a taxonomy of attributional and mechanistic approaches, along with emerging methods tailored to vision–language models (VLMs), and examining how actionable interpretability supports downstream objectives.

Jie Cai, Mafizur Rahman, James Enouen et al. · 0 citations

Preprint Jul 2026

UltraX: Refining Pre-Training Data at Scale with Adaptive Programmatic Editing

UltraX is proposed, a function-calling refinement framework for large-scale pre-training data that completes the editing function space by introducing insertion in addition to deletion and modification, enabling fine-grained instance-level editing.

Xinlong Zhao, Dongsheng Liu, Hengyu Zhao et al. · 0 citations