Ashia Wilson

26 papers A* 2B 1Journal 18Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient and accurate steering of Large Language Models through attention-guided feature learning.
CoRR
Parmida Davarmanesh, Ashia Wilson, Adityanarayanan Radhakrishnan
2026 J jnl
From Cross-Validation to SURE: Asymptotic Risk of Tuned Regularized Estimators.
CoRR
Karun Adusumilli, Maximilian Kasy, Ashia Wilson
2026 A* conf
Interaction Context Often Increases Sycophancy in LLMs.
CHI
Shomik Jain, Charlotte Park, Matt Viana, Ashia Wilson, Dana Calacci
2025 — conf
Allocation Multiplicity: Evaluating the Promises of the Rashomon Set.
FAccT
Shomik Jain, Margaret Wang, Kathleen Creel, Ashia Wilson
2025 J jnl
Allocation Multiplicity: Evaluating the Promises of the Rashomon Set.
CoRR
Shomik Jain, Margaret Wang, Kathleen Creel, Ashia Wilson
2025 J jnl
Bridging Prediction and Intervention Problems in Social Systems.
CoRR
Lydia T. Liu, Inioluwa Deborah Raji, Angela Zhou, Luke Guerdan, Jessica Hullman, Daniel Malinsky, Bryan Wilder, Simone Zhang, Hammaad Adam, Amanda Coston, Benjamin Laufer, Ezinne Nwankwo, Michael Zanger-Tishler, Eli Ben-Michael, Solon Barocas, Avi Feller, Marissa Gerchick, Talia Gillis, Shion Guha, Daniel E. Ho, Lily Hu, Kosuke Imai, Sayash Kapoor, Joshua Loftus, Razieh Nabi, Arvind Narayanan, Ben Recht, Juan Carlos Perdomo, Matthew J. Salganik, Mark P. Sendak, Alexander Tolbert, Berk Ustun, Suresh Venkatasubramanian, Angelina Wang, Ashia Wilson
2025 J jnl
Extended AI Interactions Shape Sycophancy and Perspective Mimesis.
CoRR
Shomik Jain, Charlotte Park, Matheus Mesquita Viana, Ashia Wilson, Dana Calacci
2025 B conf
High-accuracy sampling from constrained spaces with the Metropolis-adjusted Preconditioned Langevin Algorithm.
ALT
Vishwak Srinivasan, Andre Wibisono, Ashia Wilson
2025 J jnl
Homogeneous Algorithms Can Reduce Competition in Personalized Pricing.
CoRR
Nathanael Jo, Kathleen Creel, Ashia Wilson, Manish Raghavan
2025 J jnl
LLM Output Homogenization is Task Dependent.
CoRR
Shomik Jain, Jack Lanchantin, Maximilian Nickel, Karen Ullrich, Ashia Wilson, Jamelle Watson-Daniels
2025 J jnl
Layered Unlearning for Adversarial Relearning.
CoRR
Timothy Qian, Vinith Suriyakumar, Ashia Wilson, Dylan Hadfield-Menell
2025 J jnl
UCD: Unlearning in LLMs via Contrastive Decoding.
CoRR
Vinith M. Suriyakumar, Ayush Sekhari, Ashia Wilson
2025 J jnl
What Does Your Benchmark Really Measure? A Framework for Robust Inference of AI Capabilities.
CoRR
Nathanael Jo, Ashia Wilson
2024 — conf
Algorithmic Pluralism: A Structural Approach To Equal Opportunity.
FAccT
Shomik Jain, Vinith M. Suriyakumar, Kathleen Creel, Ashia Wilson
2024 — conf
As an AI Language Model, "Yes I Would Recommend Calling the Police": Norm Inconsistency in LLM Decision-Making.
AIES (1)
Shomik Jain, Dana Calacci, Ashia Wilson
2024 J jnl
As an AI Language Model, "Yes I Would Recommend Calling the Police": Norm Inconsistency in LLM Decision-Making.
CoRR
Shomik Jain, Dan Calacci, Ashia Wilson
2024 — conf
Automating Transparency Mechanisms in the Judicial System Using LLMs: Opportunities and Challenges.
AIES (1)
Ishana Shastri, Shomik Jain, Barbara Engelhardt, Ashia Wilson
2024 J jnl
Automating Transparency Mechanisms in the Judicial System Using LLMs: Opportunities and Challenges.
CoRR
Ishana Shastri, Shomik Jain, Barbara Engelhardt, Ashia Wilson
2024 J jnl
Faster Machine Unlearning via Natural Gradient Descent.
CoRR
Omri Lev, Ashia Wilson
2024 J jnl
Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized.
CoRR
Shomik Jain, Kathleen Creel, Ashia Wilson
2023 J jnl
Algorithmic Pluralism: A Structural Approach Towards Equal Opportunity.
CoRR
Shomik Jain, Vinith M. Suriyakumar, Ashia Wilson
2023 J jnl
What is a Fair Diffusion Model? Designing Generative Text-To-Image Models to Incorporate Various Worldviews.
CoRR
Zoe De Simone, Angie W. Boggust, Arvind Satyanarayan, Ashia Wilson
2022 A* conf
Multilevel Optimization for Inverse Problems.
COLT
Simon Weissmann, Ashia Wilson, Jakob Zech
2022 J jnl
Multilevel Optimization for Inverse Problems.
CoRR
Simon Weissmann, Ashia Wilson, Jakob Zech
2020 — conf
The disparate equilibria of algorithmic decision making when individuals invest rationally.
FAT*
Lydia T. Liu, Ashia Wilson, Nika Haghtalab, Adam Tauman Kalai, Christian Borgs, Jennifer T. Chayes
2019 J jnl
The Disparate Equilibria of Algorithmic Decision Making when Individuals Invest Rationally.
CoRR
Lydia T. Liu, Ashia Wilson, Nika Haghtalab, Adam Tauman Kalai, Christian Borgs, Jennifer T. Chayes