Fine-grained Hallucination Detection and Editing for Language Models
· 2 min read

Fine-grained Hallucination Detection and Editing for Language Models
Provides a taxonomy of different types of hallucinations.
· 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.