Publications

The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models
- - Yan Liu
  - Yu Liu
  - et al.
- 2024
- ICLR 2024
A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging
- - Shiqiang Wang
  - Mingyue Ji
- 2024
- ICLR 2024
Uncertainty Quantification via Stable Distribution Propagation
- - Felix Petersen
  - Aashwin Mishra
  - et al.
- 2024
- ICLR 2024
Fusing Models with Complementary Expertise
- - Hongyi Wang
  - Felipe Maia Polo
  - et al.
- 2024
- ICLR 2024
An Investigation of Representation and Allocation Harms in Contrastive Learning
- - Subha Maity
  - Mayank Agarwal
  - et al.
- 2024
- ICLR 2024
On the generalization capacity of neural networks during generic multimodal reasoning
- - Taku Ito
  - Soham Dan
  - et al.
- 2024
- ICLR 2024
AutoVP: An Automated Visual Prompting Framework and Benchmark
- - Hsi-ai Tsao
  - Lei Hsiung
  - et al.
- 2024
- ICLR 2024
ACHIEVING HUMAN PARITY IN CONTENT-GROUNDED DATASETS GENERATION
- - Asaf Yehudai
  - Boaz Carmeli
  - et al.
- 2024
- ICLR 2024
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition
- - Yuchen Hu
  - Chen Chen
  - et al.
- 2024
- ICLR 2024
Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective
- - Ming-yu Chung
  - Sheng-yen Chou
  - et al.
- 2024
- ICLR 2024