465 citations · 1.2k across the 20 of their papers we have counts for
21 papers
ASDA: Automated Skill Distillation and Adaptation for Financial Reasoning
Tik Yu Yim, Wenting Tan, Sum Yee Chan +2
Adapting large language models (LLMs) to specialized financial reasoning typically requires expensive fine-tuning that produces model-locked expertise. Training-free alternatives h…
Generalizable Single-view Object Pose Estimation by Two-side Generating and Matching
Yujing Sun, Caiyi Sun, Yuan Liu +2
In this paper, we present a novel generalizable object pose estimation method to determine the object pose using only one RGB image. Unlike traditional approaches that rely on inst…
Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning
Junjie Shan, Ziqi Zhao, Jialin Lu +3
Foundation models that bridge vision and language have made significant progress. While they have inspired many life-enriching applications, their potential for abuse in creating n…
Neural Networks with (Low-Precision) Polynomial Approximations: New Insights and Techniques for Accuracy Improvement
Chi Zhang, Jingjing Fan, Man Ho Au +1
Replacing non-polynomial functions (e.g., non-linear activation functions such as ReLU) in a neural network with their polynomial approximations is a standard practice in privacy-p…
Improving Factual Error Correction by Learning to Inject Factual Errors
Xingwei He, Qianru Zhang, A-Long Jin +3
Factual error correction (FEC) aims to revise factual errors in false claims with minimal editing, making them faithful to the provided evidence. This task is crucial for alleviati…
Imperceptible Physical Attack against Face Recognition Systems via LED Illumination Modulation
Junbin Fang, Canjian Jiang, You Jiang +5
Although face recognition starts to play an important role in our daily life, we need to pay attention that data-driven face recognition vision systems are vulnerable to adversaria…