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• In-context Unlearning: Language Models As Few Shot Unlearners
  2023 · 212 citations
• Faithfulness Vs. Plausibility: On The (un)reliability Of Explanations From Large Language Models
  2024 · 107 citations
• Quantifying Uncertainty In Natural Language Explanations Of Large Language Models
  2023 · 36 citations
• Manipulating Large Language Models To Increase Product Visibility
  2024 · 27 citations
• Towards a Unified Framework for Fair and Stable Graph Representation Learning
  2021 · 21 citations
• Learning Cost-Effective Treatment Regimes using Markov Decision Processes
  2016 · 10 citations
• Learning Cost-Effective and Interpretable Regimes for Treatment Recommendation
  2016 · 1 citations
• Towards Robust Off-Policy Evaluation via Human Inputs
  2022
• All Roads Lead to Rome? Exploring Representational Similarities Between Latent Spaces of Generative Image Models
  2024
• Explaining the Model, Protecting Your Data: Revealing and Mitigating the Data Privacy Risks of Post-Hoc Model Explanations via Membership Inference
  2024
• Quantifying Generalization Complexity for Large Language Models
  2024