Dyah Adila

According to our database, Dyah Adila authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

CrEst: Credibility Estimation for Contexts in LLMs via Weak Supervision.

Dyah Adila, Shuai Zhang, Boran Han, Bonan Min, Yuyang Wang

CoRR, June, 2025

Personalize Your LLM: Fake it then Align it.

Yijing Zhang, Dyah Adila, Changho Shin, Frederic Sala

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

2024

Is Free Self-Alignment Possible?

Dyah Adila, Changho Shin, Yijing Zhang, Frederic Sala

CoRR, 2024

Multimodal Data Curation via Object Detection and Filter Ensembles.

Tzu-Heng Huang, Changho Shin, Sui Jiet Tay, Dyah Adila, Frederic Sala

CoRR, 2024

Discovering Bias in Latent Space: An Unsupervised Debiasing Approach.

Dyah Adila, Shuai Zhang, Boran Han, Bernie Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Zero-Shot Robustification of Zero-Shot Models.

Dyah Adila, Changho Shin, Linrong Cai, Frederic Sala

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Zero-Shot Robustification of Zero-Shot Models With Foundation Models.

Dyah Adila, Changho Shin, Linrong Cai, Frederic Sala

CoRR, 2023

Mitigating Source Bias for Fairer Weak Supervision.

Changho Shin, Sonia Cromp, Dyah Adila, Frederic Sala

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Geometry-Aware Adaptation for Pretrained Models.

Nicholas Carl Roberts, Xintong Li, Dyah Adila, Sonia Cromp, Tzu-Heng Huang, Jitian Zhao, Frederic Sala

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Shoring up the foundations: fusing model embeddings and weak supervision.

Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré

Proceedings of the Uncertainty in Artificial Intelligence, 2022

AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels.

Nicholas Carl Roberts, Xintong Li, Tzu-Heng Huang, Dyah Adila, Spencer Schoenberg, Cheng-Yu Liu, Lauren Pick, Haotian Ma, Aws Albarghouthi, Frederic Sala

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals.

Ju Sun, Le Peng, Taihui Li, Dyah Adila, Zach Zaiman, Genevieve B. Melton, Nicholas Ingraham, Eric Murray, Daniel Boley, Sean Switzer, John L. Burns, Kun Huang, Tadashi Allen, Scott D. Steenburg, Judy Wawira Gichoya, Erich Kummerfeld, Christopher J. Tignanelli

CoRR, 2021

Understanding Out-of-distribution: A Perspective of Data Dynamics.

Dyah Adila, Dongyeop Kang

Proceedings of the I (Still) Can't Believe It's Not Better! Workshop at NeurIPS 2021, 2021