% IDENIFE HuanYu research reading list — bibliographic metadata checked 2026-09-23.
% These entries cite the arXiv records linked from the research page.
% Years denote first arXiv submission, not necessarily conference publication.
% Full author lists follow arXiv; a conference version may have different metadata.
% External references do not imply implementation, affiliation or validation of HuanYu.

@misc{radford2021clip,
  title         = {Learning Transferable Visual Models From Natural Language Supervision},
  author        = {Radford, Alec and Kim, Jong Wook and Hallacy, Chris and Ramesh, Aditya and Goh, Gabriel and Agarwal, Sandhini and Sastry, Girish and Askell, Amanda and Mishkin, Pamela and Clark, Jack and Krueger, Gretchen and Sutskever, Ilya},
  year          = {2021},
  eprint        = {2103.00020},
  archivePrefix = {arXiv},
  primaryClass  = {cs.CV},
  doi           = {10.48550/arXiv.2103.00020},
  url           = {https://arxiv.org/abs/2103.00020}
}

@misc{peebles2022dit,
  title         = {Scalable Diffusion Models with Transformers},
  author        = {Peebles, William and Xie, Saining},
  year          = {2022},
  eprint        = {2212.09748},
  archivePrefix = {arXiv},
  primaryClass  = {cs.CV},
  doi           = {10.48550/arXiv.2212.09748},
  url           = {https://arxiv.org/abs/2212.09748}
}

@misc{lipman2022flowmatching,
  title         = {Flow Matching for Generative Modeling},
  author        = {Lipman, Yaron and Chen, Ricky T. Q. and Ben-Hamu, Heli and Nickel, Maximilian and Le, Matt},
  year          = {2022},
  eprint        = {2210.02747},
  archivePrefix = {arXiv},
  primaryClass  = {cs.LG},
  doi           = {10.48550/arXiv.2210.02747},
  url           = {https://arxiv.org/abs/2210.02747}
}

@misc{esser2024mmdit,
  title         = {Scaling Rectified Flow Transformers for High-Resolution Image Synthesis},
  author        = {Esser, Patrick and Kulal, Sumith and Blattmann, Andreas and Entezari, Rahim and M{\"u}ller, Jonas and Saini, Harry and Levi, Yam and Lorenz, Dominik and Sauer, Axel and Boesel, Frederic and Podell, Dustin and Dockhorn, Tim and English, Zion and Lacey, Kyle and Goodwin, Alex and Marek, Yannik and Rombach, Robin},
  year          = {2024},
  eprint        = {2403.03206},
  archivePrefix = {arXiv},
  primaryClass  = {cs.CV},
  doi           = {10.48550/arXiv.2403.03206},
  url           = {https://arxiv.org/abs/2403.03206}
}

@misc{zhang2023controlnet,
  title         = {Adding Conditional Control to Text-to-Image Diffusion Models},
  author        = {Zhang, Lvmin and Rao, Anyi and Agrawala, Maneesh},
  year          = {2023},
  eprint        = {2302.05543},
  archivePrefix = {arXiv},
  primaryClass  = {cs.CV},
  doi           = {10.48550/arXiv.2302.05543},
  url           = {https://arxiv.org/abs/2302.05543}
}

@misc{hu2023tifa,
  title         = {{TIFA}: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering},
  author        = {Hu, Yushi and Liu, Benlin and Kasai, Jungo and Wang, Yizhong and Ostendorf, Mari and Krishna, Ranjay and Smith, Noah A.},
  year          = {2023},
  eprint        = {2303.11897},
  archivePrefix = {arXiv},
  primaryClass  = {cs.CV},
  doi           = {10.48550/arXiv.2303.11897},
  url           = {https://arxiv.org/abs/2303.11897}
}

@misc{guo2017calibration,
  title         = {On Calibration of Modern Neural Networks},
  author        = {Guo, Chuan and Pleiss, Geoff and Sun, Yu and Weinberger, Kilian Q.},
  year          = {2017},
  eprint        = {1706.04599},
  archivePrefix = {arXiv},
  primaryClass  = {cs.LG},
  doi           = {10.48550/arXiv.1706.04599},
  url           = {https://arxiv.org/abs/1706.04599}
}

@misc{ong2024routellm,
  title         = {{RouteLLM}: Learning to Route {LLMs} with Preference Data},
  author        = {Ong, Isaac and Almahairi, Amjad and Wu, Vincent and Chiang, Wei-Lin and Wu, Tianhao and Gonzalez, Joseph E. and Kadous, M. Waleed and Stoica, Ion},
  year          = {2024},
  eprint        = {2406.18665},
  archivePrefix = {arXiv},
  primaryClass  = {cs.LG},
  doi           = {10.48550/arXiv.2406.18665},
  url           = {https://arxiv.org/abs/2406.18665}
}