Publications

GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models
- - Zhaitang Li
  - Pin-Yu Chen
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Unraveling Molecular Structure: A Multimodal Spectroscopic Dataset for Chemistry
- - Marvin Alberts
  - Oliver Schilter
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
- - Zhiqing Sun
  - Longhui Yu
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Prompting LLMs for Social Relation Reasoning via Greedy Segment Optimization
- - Wanhua Li
  - Zibin Meng
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training
- - Kristjan Greenewald
  - Yuancheng Yu
  - et al.
- 2024
- NeurIPS 2024
Conference paper
ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs
- - Irene Huang
  - Wei Lin
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Efficient multi-prompt evaluation of LLMs
- - Felipe Maia Polo
  - Ronald Xu
  - et al.
- 2024
- NeurIPS 2024
Conference paper
A Surprisingly Simple Approach to Generalized Few-Shot Semantic Segmentation
- - Tomoya Sakai
  - Haoxiang Qiu
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification
- - Yunshi Wen
  - Tengfei Ma
  - et al.
- 2024
- NeurIPS 2024
Conference paper
Hierarchical Federated Learning with Multi-Timescale Gradient Correction
- - Wenzhi Fang
  - Dong-jun Han
  - et al.
- 2024
- NeurIPS 2024
Conference paper