Dyah Adila - RankMe

23 papers A* 5A 1Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Grow, Don't Overwrite: Fine-tuning Without Forgetting. CoRR Dyah Adila, Hanna Mazzawi, Benoit Dherin, Xavier Gonzalvo
2026	J	`jnl`	SlopCodeBench: Benchmarking How Coding Agents Degrade Over Long-Horizon Iterative Tasks. CoRR Gabriel Orlanski, Devjeet Roy, Alexander Yun, Changho Shin, Alex Gu, Albert Ge, Dyah Adila, Frederic Sala, Aws Albarghouthi
2026	J	`jnl`	Weight Updates as Activation Shifts: A Principled Framework for Steering. CoRR Dyah Adila, John Cooper, Alexander Yun, Avi Trost, Frederic Sala
2025	J	`jnl`	CrEst: Credibility Estimation for Contexts in LLMs via Weak Supervision. CoRR Dyah Adila, Shuai Zhang, Boran Han, Bonan Min, Yuyang Wang
2025	—	`conf`	Personalize Your LLM: Fake it then Align it. NAACL (Findings) Yijing Zhang, Dyah Adila, Changho Shin, Frederic Sala
2025	J	`jnl`	Personalize Your LLM: Fake it then Align it. CoRR Yijing Zhang, Dyah Adila, Changho Shin, Frederic Sala
2024	A*	`conf`	Discovering Bias in Latent Space: An Unsupervised Debiasing Approach. ICML Dyah Adila, Shuai Zhang, Boran Han, Bernie Wang
2024	J	`jnl`	Discovering Bias in Latent Space: An Unsupervised Debiasing Approach. CoRR Dyah Adila, Shuai Zhang, Boran Han, Yuyang Wang
2024	J	`jnl`	Is Free Self-Alignment Possible? CoRR Dyah Adila, Changho Shin, Yijing Zhang, Frederic Sala
2024	J	`jnl`	Multimodal Data Curation via Object Detection and Filter Ensembles. CoRR Tzu-Heng Huang, Changho Shin, Sui Jiet Tay, Dyah Adila, Frederic Sala
2024	A*	`conf`	Zero-Shot Robustification of Zero-Shot Models. ICLR Dyah Adila, Changho Shin, Linrong Cai, Frederic Sala
2023	A*	`conf`	Geometry-Aware Adaptation for Pretrained Models. NeurIPS Nicholas Carl Roberts, Xintong Li, Dyah Adila, Sonia Cromp, Tzu-Heng Huang, Jitian Zhao, Frederic Sala
2023	J	`jnl`	Geometry-Aware Adaptation for Pretrained Models. CoRR Nicholas Carl Roberts, Xintong Li, Dyah Adila, Sonia Cromp, Tzu-Heng Huang, Jitian Zhao, Frederic Sala
2023	A*	`conf`	Mitigating Source Bias for Fairer Weak Supervision. NeurIPS Changho Shin, Sonia Cromp, Dyah Adila, Frederic Sala
2023	J	`jnl`	Mitigating Source Bias for Fairer Weak Supervision. CoRR Changho Shin, Sonia Cromp, Dyah Adila, Frederic Sala
2023	J	`jnl`	Zero-Shot Robustification of Zero-Shot Models With Foundation Models. CoRR Dyah Adila, Changho Shin, Linrong Cai, Frederic Sala
2022	A*	`conf`	AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels. NeurIPS Nicholas Carl Roberts, Xintong Li, Tzu-Heng Huang, Dyah Adila, Spencer Schoenberg, Cheng-Yu Liu, Lauren Pick, Haotian Ma, Aws Albarghouthi, Frederic Sala
2022	J	`jnl`	AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels. CoRR Nicholas Carl Roberts, Xintong Li, Tzu-Heng Huang, Dyah Adila, Spencer Schoenberg, Cheng-Yu Liu, Lauren Pick, Haotian Ma, Aws Albarghouthi, Frederic Sala
2022	J	`jnl`	Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision. CoRR Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré
2022	A	`conf`	Shoring up the foundations: fusing model embeddings and weak supervision. UAI Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré
2021	J	`jnl`	A Prospective Observational Study to Investigate Performance of a Chest X-ray Artificial Intelligence Diagnostic Support Tool Across 12 U.S. Hospitals. CoRR 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
2021	—	`conf`	Understanding Out-of-distribution: A Perspective of Data Dynamics. ICBINB@NeurIPS Dyah Adila, Dongyeop Kang
2021	J	`jnl`	Understanding Out-of-distribution: A Perspective of Data Dynamics. CoRR Dyah Adila, Dongyeop Kang