Balancing speciality and versatility: a coarse to fine framework for supervised fine-tuning large language model

H Zhang, Y Wu, D Li, S Yang, R Zhao, Y Jiang… - arXiv preprint arXiv …, 2024 - arxiv.org
Aligned Large Language Models (LLMs) showcase remarkable versatility, capable of
handling diverse real-world tasks. Meanwhile, aligned LLMs are also expected to exhibit …

Understanding Multimodal Deep Neural Networks: A Concept Selection View

C Shang, H Zhang, H Wen, Y Yang - arXiv preprint arXiv:2404.08964, 2024 - arxiv.org
The multimodal deep neural networks, represented by CLIP, have generated rich
downstream applications owing to their excellent performance, thus making understanding …

Towards certifiable AI in aviation: landscape, challenges, and opportunities

H Bello, D Geißler, L Ray, S Müller-Divéky… - arXiv preprint arXiv …, 2024 - arxiv.org
Artificial Intelligence (AI) methods are powerful tools for various domains, including critical
fields such as avionics, where certification is required to achieve and maintain an …

Improving Concept Alignment in Vision-Language Concept Bottleneck Models

NM Selvaraj, X Guo, AWK Kong, A Kot - arXiv preprint arXiv:2405.01825, 2024 - arxiv.org
Concept Bottleneck Models (CBM) map images to human-interpretable concepts before
making class predictions. Recent approaches automate CBM construction by prompting …

Concept Complement Bottleneck Model for Interpretable Medical Image Diagnosis

H Wang, J Hou, H Chen - arXiv preprint arXiv:2410.15446, 2024 - arxiv.org
Models based on human-understandable concepts have received extensive attention to
improve model interpretability for trustworthy artificial intelligence in the field of medical …

Tree-Based Leakage Inspection and Control in Concept Bottleneck Models

A Ragkousis, S Parbhoo - arXiv preprint arXiv:2410.06352, 2024 - arxiv.org
As AI models grow larger, the demand for accountability and interpretability has become
increasingly critical for understanding their decision-making processes. Concept Bottleneck …

Locality-aware Concept Bottleneck Model

S Jeon, I Hwang, S Lee, BT Zhang - UniReps: 2nd Edition of the Workshop … - openreview.net
Concept bottleneck models (CBMs) are inherently interpretable models that make
predictions based on human-understandable visual cues, referred to as concepts. As …