LCTG Bench: LLM Controlled Text Generation Benchmark

K Kurihara, M Mita, P Zhang, S Sasaki… - arxiv preprint arxiv …, 2025‏ - arxiv.org
The rise of large language models (LLMs) has led to more diverse and higher-quality
machine-generated text. However, their high expressive power makes it difficult to control …

BART 기반 텍스트 요약을 활용한 전자상거래 추천 시스템 성능 향상

이채영, 박선우, 김려, 장동수, 이청용, 김재경 - 인터넷전자상거래연구, 2024‏ - dbpia.co.kr
The rapid growth of e-commerce has generated massive amounts of data, increasing the
need for personalized recommendation systems. Previous studies have used …

BKRAG: A BGE Reranker RAG for similarity analysis of power project requirements

J Guo, B Chen, Z Zhao, J He, S Chen, D Hu… - Proceedings of the 2024 …, 2024‏ - dl.acm.org
This paper proposes an innovative method called BKRAG (A BGE Reranker Retrieval
Augmented Generation for similarity analysis of power project requirements), which …

[کتاب][B] Automated Extraction of Relevant Information in Software Maintenance Meetings: An Evaluation of Contemporary AI-Based Summarization Approaches

L Lyu - 2024‏ - search.proquest.com
This thesis evaluates 16 meeting summarization approaches, including commercial tools
and large language models (LLMs), across 45 software maintenance meeting topics …