What Knowledge Gets Distilled in Knowledge Distillation? - Utkarsh Ojha; Yuheng Li; Anirudh Sundara Rajan; Yingyu Liang; Yong Jae Lee (NeurIPS, 2023)

On the Effectiveness of Dataset Alignment for Fake Image Detection. - Anirudh Sundara Rajan; Utkarsh Ojha; Jedidiah Schloesser; Yong Jae Lee (CoRR, 2024)

Ki-Cook: clustering multimodal cooking representations through knowledge-infused learning. - Revathy Venkataramanan; Swati Padhee; Saini Rohan Rao; Ronak Kaoshik; Anirudh Sundara Rajan; Amit P. Sheth (Frontiers Big Data, 2024)

Aligned Datasets Improve Detection of Latent Diffusion-Generated Images. - Anirudh Sundara Rajan; Utkarsh Ojha; Jedidiah Schloesser; Yong Jae Lee (ICLR, 2025)

Stay-Positive: A Case for Ignoring Real Image Features in Fake Image Detection. - Anirudh Sundara Rajan; Yong Jae Lee (CoRR, 2025)

VisualToolAgent (VisTA): A Reinforcement Learning Framework for Visual Tool Selection. - Zeyi Huang; Yuyang Ji; Anirudh Sundara Rajan; Zefan Cai; Wen Xiao; Junjie Hu; Yong Jae Lee (CoRR, 2025)