Publications

Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision
- - Zhiqing Sun
  - Yikang Shen
  - et al.
- 2023
- NeurIPS 2023
Physion++: Evaluating Physical Scene Understanding that Requires Online Inference of Different Physical Properties
- - Hsiao-yu Tung
  - Mingyu Ding
  - et al.
- 2023
- NeurIPS 2023
Credal Marginal MAP
- - Radu Marinescu
  - Debarun Bhattacharjya
  - et al.
- 2023
- NeurIPS 2023
The Impact of Positional Encoding on Length Generalization in Transformers
- - Amirhossein Kazemnejad
  - Inkit Padhi
  - et al.
- 2023
- NeurIPS 2023
Towards robust and generalizable representations of extracellular data using contrastive learning
- - Ankit Vishnubhotla
  - Charlotte Loh
  - et al.
- 2023
- NeurIPS 2023
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning
- - Amit Dhurandhar
  - Karthikeyan Natesan Ramamurthy
  - et al.
- 2023
- NeurIPS 2023
RADAR: Robust AI-Text Detection via Adversarial Learning
- - Xiaomeng Hu
  - Pin-Yu Chen
  - et al.
- 2023
- NeurIPS 2023
Uncovering and Quantifying Social Biases in Code Generation
- - Yan Liu
  - Xiaokang Chen
  - et al.
- 2023
- NeurIPS 2023
Transformers over Directed Acyclic Graphs
- - Yuankai Luo
  - Veronika Thost
  - et al.
- 2023
- NeurIPS 2023
TIES-Merging: Resolving Interference When Merging Models
- - Prateek Yadav
  - Derek Tam
  - et al.
- 2023
- NeurIPS 2023