A comprehensive survey of hallucination mitigation techniques in large language models
As Large Language Models (LLMs) continue to advance in their ability to write human-like
text, a key challenge remains around their tendency to hallucinate generating content that …
text, a key challenge remains around their tendency to hallucinate generating content that …
Deliberate reasoning for llms as structure-aware planning with accurate world model
Enhancing the reasoning capabilities of large language models (LLMs) remains a key
challenge, especially for tasks that require complex, multi-step decision-making. Humans …
challenge, especially for tasks that require complex, multi-step decision-making. Humans …
Multilingual Fine-Grained News Headline Hallucination Detection
The popularity of automated news headline generation has surged with advancements in
pre-trained language models. However, these models often suffer from the``hallucination'' …
pre-trained language models. However, these models often suffer from the``hallucination'' …
FACTOID: FACtual enTailment fOr hallucInation Detection
The widespread adoption of Large Language Models (LLMs) has facilitated numerous
benefits. However, hallucination is a significant concern. In response, Retrieval Augmented …
benefits. However, hallucination is a significant concern. In response, Retrieval Augmented …