Browsing: scholar

1. AbstractThis paper addresses the challenge of generating tailored long-form responses from large language models (LLMs) in coverage-conditioned (C2) scenarios,…

1. Abstract This paper introduces CHAIN-OF-KNOWLEDGE (CoK), a framework designed to enhance Large Language Models’ (LLMs) knowledge reasoning abilities by…

1. Abstract This paper conducts a comprehensive survey on data quality (DQ) evaluation and improvement tools for machine learning (ML).…

1. Abstract This paper presents TRAIT, a task-oriented in-domain data augmentation framework for continual pre-training of large language models (LLMs).…

1. Abstract This paper investigates the effectiveness of ChatGPT in machine translation tasks by exploring various prompting strategies. The authors…

Abstract This paper evaluates the effectiveness of large language models (LLMs), specifically ChatGPT, in performing machine translation (MT) tasks across…

Abstract This paper investigates the capabilities of large language models (LLMs) like ChatGPT in performing machine translation (MT) tasks across…

1. Abstract The paper explores the complexities and challenges of engineering Retrieval Augmented Generation (RAG) systems, which leverage large language…

1. Full SummaryThis paper introduces KOSMOS-2.5, a multimodal literate model designed for machine reading of text-intensive images. It addresses the…