Search Results for author: Jiaju Lin

Found 9 papers, 4 papers with code

Joint Music and Language Attention Models for Zero-shot Music Tagging

no code implementations16 Oct 2023 Xingjian Du, Zhesong Yu, Jiaju Lin, Bilei Zhu, Qiuqiang Kong

However, previous music tagging research primarily focuses on close-set music tagging tasks which can not be generalized to new tags.

Audio Tagging Music Tagging

AgentSims: An Open-Source Sandbox for Large Language Model Evaluation

1 code implementation8 Aug 2023 Jiaju Lin, Haoran Zhao, Aochi Zhang, Yiting Wu, Huqiuyue Ping, Qin Chen

With ChatGPT-like large language models (LLM) prevailing in the community, how to evaluate the ability of LLMs is an open question.

Language Modelling Large Language Model

EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education

1 code implementation5 Aug 2023 Yuhao Dan, Zhikai Lei, Yiyang Gu, Yong Li, Jianghao Yin, Jiaju Lin, Linhao Ye, Zhiyan Tie, Yougen Zhou, Yilei Wang, Aimin Zhou, Ze Zhou, Qin Chen, Jie zhou, Liang He, Xipeng Qiu

Currently, EduChat is available online as an open-source project, with its code, data, and model parameters available on platforms (e. g., GitHub https://github. com/icalk-nlp/EduChat, Hugging Face https://huggingface. co/ecnu-icalk ).

Chatbot Language Modelling +1

Causal Intervention-based Prompt Debiasing for Event Argument Extraction

no code implementations4 Oct 2022 Jiaju Lin, Jie zhou, Qin Chen

Prompt-based methods have become increasingly popular among information extraction tasks, especially in low-data scenarios.

Event Argument Extraction

PoKE: A Prompt-based Knowledge Eliciting Approach for Event Argument Extraction

no code implementations11 Sep 2021 Jiaju Lin, Qin Chen

Eliciting knowledge from pre-trained language models via prompt-based learning has shown great potential in many natural language processing tasks.

Event Argument Extraction Event Extraction +1

ECNUICA at SemEval-2021 Task 11: Rule based Information Extraction Pipeline

no code implementations SEMEVAL 2021 Jiaju Lin, Jing Ling, Zhiwei Wang, Jiawei Liu, Qin Chen, Liang He

The purpose of the task was to extract triples from a paper in the Nature Language Processing field for constructing an Open Research Knowledge Graph.

Open Information Extraction

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