January 19, 2024 · 1 min read

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