Poster "interpretable ai" Papers

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ADAM: An Embodied Causal Agent in Open-World Environments

Shu Yu, Chaochao Lu

ICLR 2025arXiv:2410.22194

Bridging Brains and Concepts: Interpretable Visual Decoding from fMRI with Semantic Bottlenecks

Sara Cammarota, Matteo Ferrante, Nicola Toschi

CogCoM: A Visual Language Model with Chain-of-Manipulations Reasoning

Ji Qi, Ming Ding, Weihan Wang et al.

ICLR 2025arXiv:2402.04236

IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector

Zheng CHEN, Yushi Feng, Jisheng Dang et al.

NEURIPS 2025arXiv:2502.15902

MIHC: Multi-View Interpretable Hypergraph Neural Networks with Information Bottleneck for Chip Congestion Prediction

Zeyue Zhang, Heng Ping, Peiyu Zhang et al.

Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis

Arpita Chowdhury, Dipanjyoti Paul, Zheda Mai et al.

CVPR 2025arXiv:2501.09333

Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face Detector

Xiao Guo, Xiufeng Song, Yue Zhang et al.

CVPR 2025arXiv:2503.20188

scPilot: Large Language Model Reasoning Toward Automated Single-Cell Analysis and Discovery

Yiming Gao, Zhen Wang, Jefferson Chen et al.

Probabilistic Constrained Reinforcement Learning with Formal Interpretability

YANRAN WANG, QIUCHEN QIAN, David Boyle

ICML 2024arXiv:2307.07084