Poster Abstract: On the Accuracy and Robustness of Large Language Models in Chinese Industrial Scenarios

Author:

Li Zongjie1,Qiu Wenying2,Ma Pingchuan1,Li Yichen1,Li You2,He Sijia2,Jiang Baozheng2,Wang Shuai1,Gu Weixi2

Affiliation:

1. Hong Kong University of Science and Technology,Department of Computer Science and Engineering,Hong Kong,China

2. China Academy of Industrial Internet,Beijing,China

Publisher

IEEE

Reference10 articles.

1. Language models are few-shot learners;Brown;Advances in neural information processing systems,2020

2. Language models are unsupervised multitask learners;Radford;OpenAI blog,2019

3. Protecting Intellectual Property of Large Language Model-Based Code Generation APIs via Watermarks

4. REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes

5. InsightPilot: An LLM-Empowered Automated Data Exploration System

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