| 2026 | AAAI | Margin-Aware Preference Optimization for Aligning Diffusion Models Without Reference. | Jiwoo Hong, Sayak Paul, Noah Lee, Kashif Rasul, James Thorne, Jongheon Jeong |
| 2025 | ACL | LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs. | Chansung Park, Juyong Jiang, Fan Wang, Sayak Paul, Jing Tang |
| 2025 | CVPR | Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis. | Bingda Tang, Boyang Zheng, Sayak Paul, Saining Xie |
| 2025 | ICCV | SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation. | Junsong Chen, Shuchen Xue, Yuyang Zhao, Jincheng Yu, Sayak Paul, Junyu Chen, Han Cai, Song Han, Enze Xie |
| 2025 | ICCV | From Reflection to Perfection: Scaling Inference-Time Optimization for Text-to-Image Diffusion Models via Reflection Tuning. | Le Zhuo, Liangbing Zhao, Sayak Paul, Yue Liao, Renrui Zhang, Yi Xin, Peng Gao, Mohamed Elhoseiny, Hongsheng Li |
| 2025 | WACV | DiffuseKronA: A Parameter Efficient Fine-tuning Method for Personalized Diffusion Models. | Shyam Marjit, Harshit Singh, Nityanand Mathur, Sayak Paul, Chia-Mu Yu, Pin-Yu Chen |
| 2024 | ECCV | Getting it Right: Improving Spatial Consistency in Text-to-Image Models. | Agneet Chatterjee, Gabriela Ben Melech Stan, Estelle Aflalo, Sayak Paul, Dhruba Ghosh, Tejas Gokhale, Ludwig Schmidt, Hannaneh Hajishirzi, Vasudev Lal, Chitta Baral, Yezhou Yang |
| 2022 | AAAI | Vision Transformers Are Robust Learners. | Sayak Paul, Pin-Yu Chen |
| 2020 | ICDM | G-SimCLR: Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling. | Souradip Chakraborty, Aritra Roy Gosthipaty, Sayak Paul |