Unlocking the Power of LongBench-Cite and LongCite-45k: Transforming Long-Context LLMs with Precision Citations for Superior QA Accuracy and Trustworthiness!
Table of Contents The Challenge of Citation in Long-Context LLMs Limitations in Current Citation Methods A Novel Solution: Coarse-to-Fine Methodology The CoF System: A Step-by-Step Approach A Comparative Analysis: Performance Metrics Revealed Enhancing Long-Context Language Models: A Breakthrough in Citation Precision Large language models (LLMs) have emerged as essential tools for various applications, including question-answering (QA) and text summarization. These advanced models are adept at processing extensive and intricate texts, with capabilities that can exceed 100,000 tokens. As the demand for LLMs to manage large-context tasks grows, ensuring their reliability and accuracy becomes increasingly critical. Users depend on these models to navigate vast amounts of information and deliver concise, accurate responses . However, a prevalent issue known as "hallucination" arises when these models produce information not supported by the input t...