HeLM: Highlighted Evidence augmented Language Model for Enhanced Table-to-Text Generation

arXiv:2311.08896v2 Announce Type: replace
Abstract: Large models have demonstrated significant progress across various domains, particularly in tasks related to text generation. In the domain of Table to Text, many Large Language Model (LLM)-based methods currently resort to modifying prompts to invoke public APIs, incurring potential costs and information leaks. With the advent of open-source large models, fine-tuning LLMs has become feasible. In this study, we conducted parameter-efficient fine-tuning on the LLaMA2 model. Distinguishing itself from previous fine-tuning-based table-to-text methods, our …

abstract apis arxiv costs cs.cl domain domains evidence helm information invoke language language model large language large language model large models leaks llm progress prompts public table tasks text text generation type