공대생 도전 일지

https://arxiv.org/abs/2309.08963 Struc-Bench: Are Large Language Models Really Good at Generating Complex Structured Data?Despite the remarkable capabilities of Large Language Models (LLMs) like GPT-4, producing complex, structured tabular data remains challenging. Our study assesses LLMs' proficiency in structuring tables and introduces a novel fine-tuning method, cognizantarxiv.orgNaacl 2024 s..

https://arxiv.org/abs/2401.11911 Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?While auxiliary information has become a key to enhancing Large Language Models (LLMs), relatively little is known about how LLMs merge these contexts, specifically contexts generated by LLMs and those retrieved from external sources. To investigate ..