Publications

It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition
- - Chen Chen
  - Ruizhe Li
  - et al.
- 2024
- ICLR 2024
Conference paper
Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?
- - Yu-Lin Tsai
  - Chia-yi Hsu
  - et al.
- 2024
- ICLR 2024
Conference paper
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models
- - Yan Liu
  - Yu Liu
  - et al.
- 2024
- ICLR 2024
Conference paper
A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging
- - Shiqiang Wang
  - Mingyue Ji
- 2024
- ICLR 2024
Conference paper
Uncertainty Quantification via Stable Distribution Propagation
- - Felix Petersen
  - Aashwin Mishra
  - et al.
- 2024
- ICLR 2024
Conference paper
Fusing Models with Complementary Expertise
- - Hongyi Wang
  - Felipe Maia Polo
  - et al.
- 2024
- ICLR 2024
Conference paper
An Investigation of Representation and Allocation Harms in Contrastive Learning
- - Subha Maity
  - Mayank Agarwal
  - et al.
- 2024
- ICLR 2024
Conference paper
On the generalization capacity of neural networks during generic multimodal reasoning
- - Taku Ito
  - Soham Dan
  - et al.
- 2024
- ICLR 2024
Conference paper
AutoVP: An Automated Visual Prompting Framework and Benchmark
- - Hsi-ai Tsao
  - Lei Hsiung
  - et al.
- 2024
- ICLR 2024
Conference paper
ACHIEVING HUMAN PARITY IN CONTENT-GROUNDED DATASETS GENERATION
- - Asaf Yehudai
  - Boaz Carmeli
  - et al.
- 2024
- ICLR 2024
Conference paper