Publications

Unraveling the Key Components of OOD Generalization via Diversification
- - Harold Benoit
  - Liangze Jiang
  - et al.
- 2024
- ICLR 2024
A Probabilistic Framework for Modular Continual Learning
- - Lazar Valkov
  - Akash Srivastava
  - et al.
- 2024
- ICLR 2024
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
- - Akari Asai
  - Zeqiu Wu
  - et al.
- 2024
- ICLR 2024
SalUn: Empowering Machine Unlearning via Gradient-Based Weight Saliency in Both Image Classification and Generation
- - Chongyu Fan
  - Jiancheng Liu
  - et al.
- 2024
- ICLR 2024
Isogeny problems with level structure
- - Luca De Feo
  - Tako Boris Fouotsa
  - et al.
- 2024
- Eurocrypt 2024
Partially Observable Hierarchical Reinforcement Learning with AI Planning
- - Brandon Rozek
  - Junkyu Lee
  - et al.
- 2024
- AAAI 2024
Who Knows the Answer? Finding the Best Model and Prompt for Each Query Using Confidence-Based Search
- - Walter Gerych
  - Yara Rizk
  - et al.
- 2024
- AAAI 2024
MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery
- - Clyde Fare
  - George K. Holt
  - et al.
- 2024
- AAAI 2024
SocialStigmaQA: A Benchmark to Uncover Stigma Amplification in Generative Language Models
- - Manish Nagireddy
  - Lamogha Chiazor
  - et al.
- 2024
- AAAI 2024
Large Language Models as Planning Domain Generators
- - James Oswald
  - Kavitha Srinivas
  - et al.
- 2024
- AAAI 2024