Large Language Models can Become Strong Self-Detoxifiers
- Irene Ko
- Pin-Yu Chen
- et al.
- 2025
- ICLR 2025
Conference paper
Publications
8 results for Luca Daniel
Guaranteeing Conservation Laws with Projection in Physics-Informed Neural Networks
- Anthony Baez
- Wang Zhang
- et al.
- 2024
- NeurIPS 2024
Workshop paperOn Robustness-Accuracy Characterization of Language Models using Synthetic Datasets
- Ching-yun Ko
- Pin-Yu Chen
- et al.
- 2024
- COLM 2024
Conference paperWhat Would Gauss Say About Representations? Probing Pretrained Image Models using Synthetic Gaussian Benchmarks
- Irene Ko
- Pin-Yu Chen
- et al.
- 2024
- ICML 2024
Conference paperOn Robustness-Accuracy Characterization of Large Language Models using Synthetic Datasets
- Ching-yun Ko
- Pin-Yu Chen
- et al.
- 2023
- ICML 2023
Workshop paperSynBench: Task-Agnostic Benchmarking of Pretrained Representations using Synthetic Data
- Ching-yun Ko
- Pin-Yu Chen
- et al.
- 2022
- NeurIPS 2022
Workshop paperFast Convergence for Unstable Reinforcement Learning Problems by Logarithmic Mapping
- Wang Zhang
- Lam Nguyen
- et al.
- 2022
- ICML 2022
Workshop paperRobust Deep Reinforcement Learning through Adversarial Loss
- Tuomas Oikarinen
- Wang Zhang
- et al.
- 2021
- NeurIPS 2021
Conference paper