247 citations · 445 across the 12 of their papers we have counts for
5 papers · 1 filter
FailureAtlas:Mapping the Failure Landscape of T2I Models via Active Exploration
Muxi Chen, Zhaohua Zhang, Chenchen Zhao +8
Static benchmarks have provided a valuable foundation for comparing Text-to-Image (T2I) models. However, their passive design offers limited diagnostic power, struggling to uncover…
GRAPE: Let GRPO Supervise Query Rewriting by Ranking for Retrieval
Zhaohua Zhang, Jianhuan Zhuo, Muxi Chen +8
The CLIP model has established itself as a cornerstone of large-scale retrieval systems. However, its performance often degrades under distributional shifts such as multilingual, l…
Concept-SAE: A Controllable and Invertible Concept Interface for Sparse Autoencoders
Jianrong Ding, Muxi Chen, Chenchen Zhao +1
Standard Sparse Autoencoders (SAEs) excel at discovering a dictionary of a model's learned features, providing a powerful lens for passive feature discovery. However, this passive…
HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging
Muxi Chen, Chenchen Zhao, Qiang Xu
Despite the significant success of deep learning models in computer vision, they often exhibit systematic failures on specific data subsets, known as error slices. Identifying and…
The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on Llama with Vision-Aware and Function-Calling Capabilities
MediaTek Research, :, Chan-Jan Hsu +6
Llama-Breeze2 (hereinafter referred to as Breeze2) is a suite of advanced multi-modal language models, available in 3B and 8B parameter configurations, specifically designed to enh…