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VicunaNER: Zero/Few-shot Named Entity Recognition using Vicuna. (arXiv:2305.03253v1 [cs.CL])
cs.CL updates on arXiv.org arxiv.org
Large Language Models (LLMs, e.g., ChatGPT) have shown impressive zero- and
few-shot capabilities in Named Entity Recognition (NER). However, these models
can only be accessed via online APIs, which may cause data leak and
non-reproducible problems. In this paper, we propose VicunaNER, a zero/few-shot
NER framework based on the newly released open-source LLM -- Vicuna. VicunaNER
is a two-phase framework, where each phase leverages multi-turn dialogues with
Vicuna to recognize entities from texts. We name the second phase as
Re-Recognition, …
apis arxiv chatgpt data data leak framework language language models large language models llms ner paper recognition vicuna