Publications

Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization
- - Pengchao Han
  - Shiqiang Wang
  - et al.
- 2024
- INFOCOM 2024
Conference paper
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain
- - Marcus Min
  - Robin (Yangruibo) Ding
  - et al.
- 2024
- ICLR 2024
Conference paper
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
- - Ming Jin
  - Shiyu Wang
  - et al.
- 2024
- ICLR 2024
Conference paper
Curiosity-driven Red-teaming for Large Language Models
- - Zhang-wei Hong
  - Idan Shenfeld
  - et al.
- 2024
- ICLR 2024
Conference paper
Topological Data Analysis on Noisy Quantum Computers
- - Ismail Akhalwaya
  - Shashanka Ubaru
  - et al.
- 2024
- ICLR 2024
Conference paper
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