Paper-Conference

Trust Me, I'm Wrong: High-Certainty Hallucinations in LLMs
Rethinking Safety in LLM Fine-Tuning: An Optimization Perspective
Do Sparse Autoencoders Generalize? A Case Study of Answerability
PoisonBench: Assessing Large Language Model Vulnerability to Data Poisoning
Scaling Sparse Feature Circuit Finding for In-Context Learning
In Which Areas of Technical AI Safety Could Geopolitical Rivals Cooperate?
Rethinking AI Cultural Alignment
Towards Interpreting Visual Information Processing in Vision-Language Models
Interpreting Learned Feedback Patterns in Large Language Models
Interpreting Context Look-ups in Transformers: Investigating Attention-MLP Interactions