2 papers
cs.CL2026
Towards Resource Efficient and Interpretable Bias Mitigation in Large Language Models
Schrasing Tong, Eliott Zemour, Jessica Lu +2
Although large language models (LLMs) have demonstrated their effectiveness in a wide range of applications, they have also been observed to perpetuate unwanted biases present in t…
cs.CV2026
Privacy in Image Datasets: A Case Study on Pregnancy Ultrasounds
Rawisara Lohanimit, Yankun Wu, Amelia Katirai +2
The rise of generative models has led to increased use of large-scale datasets collected from the internet, often with minimal or no data curation. This raises concerns about the i…