4 papers
Natural Language Camera Movement Understanding
Yuwen Tan, Joey Huang, Jin Huang +2
Understanding camera movement in natural language is critical for training and evaluating video generation models, among other applications. However, we demonstrate that existing v…
Confidence Optimization for Probabilistic Encoding
Pengjiu Xia, Yidian Huang, Wenchao Wei +1
Probabilistic encoding introduces Gaussian noise into neural networks, enabling a smooth transition from deterministic to uncertain states and enhancing generalization ability. How…
Lifting Data-Tracing Machine Unlearning to Knowledge-Tracing for Foundation Models
Yuwen Tan, Boqing Gong
Machine unlearning removes certain training data points and their influence from AI models (e.g., when a data owner revokes their consent to allow models to learn from the data). I…
The LLM Bottleneck: Why Open-Source Vision LLMs Struggle with Hierarchical Visual Recognition
Yuwen Tan, Yuan Qing, Boqing Gong
This paper reveals that many open-source large language models (LLMs) lack hierarchical knowledge about our visual world, unaware of even well-established biology taxonomies. This…