David Arbour

Venues

Frequent coauthors

Papers

1. Evaluation and Incident Prevention in an Enterprise AI Assistant
   AAAI 2025 ·

   Akash V. Maharaj

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2. Handling Missing Responses under Cluster Dependence with Applications to Language Model Evaluation
   NeurIPS 2025 ·

   Zhenghao Zeng

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3. Image Difference Captioning via Adversarial Preference Optimization
   EMNLP 2025 ·

   Zihan Huang

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4. Leveraging semantic similarity for experimentation with AI-generated treatments
   NeurIPS 2025 ·

   Lei Shi

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5. Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries
   ACL 2025 ·

   Vishakh Padmakumar

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6. Relational Causal Discovery with Latent Confounders
   UAI 2025 ·

   Matteo Negro

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7. Continuous Treatment Effects with Surrogate Outcomes
   ICML 2024 ·

   Zhenghao Zeng

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8. Distributional Off-Policy Evaluation for Slate Recommendations
   AAAI 2024 ·

   Shreyas Chaudhari

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9. Editing Partially Observable Networks via Graph Diffusion Models
   ICML 2024 ·

   Puja Trivedi

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