CatCode: A Comprehensive Evaluation Framework for LLMs On the Mixture of Code and Text

no code implementations • 4 Mar 2024 • Zhenru Lin, Yiqun Yao, Yang Yuan

Large language models (LLMs) such as ChatGPT are increasingly proficient in understanding and generating a mixture of code and text.

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Variational Latent-State GPT for Semi-Supervised Task-Oriented Dialog Systems

2 code implementations • 9 Sep 2021 • Hong Liu, Yucheng Cai, Zhenru Lin, Zhijian Ou, Yi Huang, Junlan Feng

In this paper, we propose Variational Latent-State GPT model (VLS-GPT), which is the first to combine the strengths of the two approaches.

PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support

2 code implementations • Findings (ACL) 2021 • Hao Sun, Zhenru Lin, Chujie Zheng, Siyang Liu, Minlie Huang

In this paper, we propose PsyQA, a Chinese dataset of psychological health support in the form of question and answer pair.