Fine-grained Hallucination Detection and Editing for Language Models
Provides a taxonomy of different types of hallucinations.
January 19, 2024 · 1 min read
Provides a taxonomy of different types of hallucinations.
32k context length retreival models with sub-quadratic attention mechanism.
Using persuasion ot jailbreak LLM's.
Presents a 7B parameter embedding model.
text2image diffusion models learn and use a secret language.
Compares finetuning vs RAG for improvement on a specific domain.