Publications
- Lin Gui, Cristina Garbacea, Victor Veitch (2024). BoNBoN Alignment for Large Language Models and the Sweetness of Best-of-n Sampling. NeurIPS 2024. [Preprint]
- Lin Gui, Yuchao Jiang, Jingshu Wang (2023). Aggregating Dependent Signals with Heavy-Tailed Combination Tests. [Preprint]
- Zihao Wang, Lin Gui, Jeffrey Negrea, Victor Veitch (2023). Concept Algebra for (Score-Based) Text-Controlled Generative Models. NeurIPS 2023. [Preprint][Paper]
- Lin Gui, Victor Veitch (2023). Causal Estimation for Text Data with (Apparent) Overlap Violations. ICLR 2023. [Preprint] [Paper]
- Jingshu Wang, Lin Gui, Weijie J. Su, Chiara Sabatti, Art B. Owen (2022). Detecting Multiple Replicating Signals using Adaptive Filtering Procedures. The Annals of Statistics. [Preprint] [Paper]