Towards Lightweight Reliability: Using Soft Prompts for Hallucination Mitigation in Large Language Models 事件

Towards Lightweight Reliability: Using Soft Prompts for Hallucination Mitigation in Large Language Models arXiv:2606.00919v1 Announce Type: new Abstract: Large language models (LLMs) have seen widespread adoption across various domains, yet their reliability is frequently undermined by hallucinations - responses that are plausible-sounding but factually incorrect. In high-stakes domains, these errors can reduce trust and introduce real-world risk. To address this challenge, we present a paramet