Search Results for author:
Found 4 papers, 1 papers with code
Exploring the Robustness of Model-Graded Evaluations and Automated Interpretability
There has been increasing interest in evaluations of language models for a variety of risks and characteristics.
LoRA Fine-tuning Efficiently Undoes Safety Training in Llama 2-Chat 70B
Our fine-tuning method retains general performance, which we validate by comparing our fine-tuned models against Llama 2-Chat across two benchmarks.
BadLlama: cheaply removing safety fine-tuning from Llama 2-Chat 13B
Llama 2-Chat is a collection of large language models that Meta developed and released to the public.
Evaluating Shutdown Avoidance of Language Models in Textual Scenarios
Recently, there has been an increase in interest in evaluating large language models for emergent and dangerous capabilities.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
