2 citations · 3 across the 4 of their papers we have counts for
4 papers
Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting
Siyi Liu, Yang Li, Jiang Li +2
Recent research in zero-shot Relation Extraction (RE) has focused on using Large Language Models (LLMs) due to their impressive zero-shot capabilities. However, current methods oft…
Unsupervised Text Style Transfer via LLMs and Attention Masking with Multi-way Interactions
Lei Pan, Yunshi Lan, Yang Li +1
Unsupervised Text Style Transfer (UTST) has emerged as a critical task within the domain of Natural Language Processing (NLP), aiming to transfer one stylistic aspect of a sentence…
Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question Prompts
Yunshi Lan, Xiang Li, Xin Liu +3
Zero-shot Visual Question Answering (VQA) is a prominent vision-language task that examines both the visual and textual understanding capability of systems in the absence of traini…
R Prompting: Review, Rephrase and Resolve for Chain-of-Thought Reasoning in Large Language Models under Noisy Context
Qingyuan Tian, Hanlun Zhu, Lei Wang +2
With the help of Chain-of-Thought (CoT) prompting, Large Language Models (LLMs) have achieved remarkable performance on various reasoning tasks. However, most of them have been eva…