반응형 오늘의 자연어 처리572 [2023-11-26] 오늘의 자연어처리 Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus Abstract:Large Language Models (LLMs) have gained significant popularity for their impressive performance across diverse fields. However, LLMs are prone to hallucinate untruthful or nonsensical outputs that fail to meet user expectations in many real-world applications. Existing works for detecting hallucinations in LLMs eit.. 2023. 11. 26. [2023-11-25] 오늘의 자연어처리 Enhancing Summarization Performance through Transformer-Based Prompt Engineering in Automated Medical Reporting Abstract:Customized medical prompts enable Large Language Models (LLM) to effectively address medical dialogue summarization. The process of medical reporting is often time-consuming for healthcare professionals. Implementing medical dialogue summarization techniques presents a viable .. 2023. 11. 25. [2023-11-24] 오늘의 자연어처리 Machine Translation to Control Formality Features in the Target Language Abstract:Formality plays a significant role in language communication, especially in low-resource languages such as Hindi, Japanese and Korean. These languages utilise formal and informal expressions to convey messages based on social contexts and relationships. When a language translation technique is used to translate fro.. 2023. 11. 24. [2023-11-23] 오늘의 자연어처리 Multilingual Word Embeddings for Low-Resource Languages using Anchors and a Chain of Related Languages Abstract:Very low-resource languages, having only a few million tokens worth of data, are not well-supported by multilingual NLP approaches due to poor quality cross-lingual word representations. Recent work showed that good cross-lingual performance can be achieved if a source language is rela.. 2023. 11. 23. 이전 1 ··· 9 10 11 12 13 14 15 ··· 143 다음 반응형