NeurIPS 2025 "model interpretability" Papers

Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning

LeapFactual: Reliable Visual Counterfactual Explanation Using Conditional Flow Matching

Zhuo Cao, Xuan Zhao, Lena Krieger et al.

Manipulating Feature Visualizations with Gradient Slingshots

Dilyara Bareeva, Marina Höhne, Alexander Warnecke et al.

SHAP zero Explains Biological Sequence Models with Near-zero Marginal Cost for Future Queries

Darin Tsui, Aryan Musharaf, Yigit Efe Erginbas et al.

Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties

Gouki Minegishi, Hiroki Furuta, Takeshi Kojima et al.

Unveiling Concept Attribution in Diffusion Models

Nguyen Hung-Quang, Hoang Phan, Khoa D Doan