arXiv:2501.16078
Integration of LLM Quality Assurance into an NLG System
원문 초록
In this paper, we present a system that uses a Large Language Model (LLM) to perform grammar and spelling correction as a component of Quality Assurance (QA) for texts generated by NLG systems, which is important for text production in real-world scenarios. Evaluating the results of the system on work-in-progress sports news texts in three languages, we show that it is able to deliver acceptable corrections.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Assay2Mol: large language model-based drug design using BioAssay context
Open Source Planning & Control System with Language Agents for Autonomous Scientific Discovery
Detecting Referring Expressions in Visually Grounded Dialogue with Autoregressive Language Models
mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and Model Selection at Scale
AgentStealth: Reinforcing Large Language Model for Anonymizing User-generated Text
A Multi-Pass Large Language Model Framework for Precise and Efficient Radiology Report Error Detection
토론
이 논문과 연결된 포럼 글이 아직 없습니다.