Search Results for author:
Found 5 papers, 3 papers with code
SDI-Net: Toward Sufficient Dual-View Interaction for Low-light Stereo Image Enhancement
However, these methods still do not fully exploit the interaction between left and right view information.
BurstAttention: An Efficient Distributed Attention Framework for Extremely Long Sequences
Effective attention modules have played a crucial role in the success of Transformer-based large language models (LLMs), but the quadratic time and memory complexities of these attention modules also pose a challenge when processing long sequences.
Eliminating Information Leakage in Hard Concept Bottleneck Models with Supervised, Hierarchical Concept Learning
This paper alleviates the information leakage issue by introducing label supervision in concept predication and constructing a hierarchical concept set.
Explain Any Concept: Segment Anything Meets Concept-Based Explanation
For computer vision tasks, mainstream pixel-based XAI methods explain DNN decisions by identifying important pixels, and emerging concept-based XAI explore forming explanations with concepts (e. g., a head in an image).
"Oops, Did I Just Say That?" Testing and Repairing Unethical Suggestions of Large Language Models with Suggest-Critique-Reflect Process
Moreover, we propose a novel on-the-fly (OTF) repairing scheme that repairs unethical suggestions made by LLMs in real-time.
