alignment

Decoding-time Realignment of Language Models ICML 2024 Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function ICML 2024 Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models ICML 2024 Fundamental Limitations of Alignment in Large Language Models ICML 2024 Human Alignment of Large Language Models through Online Preference Optimisation ICML 2024 Is DPO Superior to PPO for LLM Alignment? A Comprehensive Study ICML 2024 Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback ICML 2024 Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks ICML 2024 PARDEN, Can You Repeat That? Defending against Jailbreaks via Repetition ICML 2024 Perfect Alignment May be Poisonous to Graph Contrastive Learning ICML 2024 Scalable AI Safety via Doubly-Efficient Debate ICML 2024 Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation ICML 2024 Token-level Direct Preference Optimization ICML 2024 Towards Efficient Exact Optimization of Language Model Alignment ICML 2024 Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision ICML 2024