BatchMixup: Improving Training by Interpolating Hidden States of the Entire Mini-batch

no code implementations • Findings (ACL) 2021 • Wenpeng Yin, Huan Wang, Jin Qu, Caiming Xiong

Few-Shot Intent Classification by Gauging Entailment Relationship Between Utterance and Semantic Label

no code implementations • EMNLP (NLP4ConvAI) 2021 • Jin Qu, Kazuma Hashimoto, Wenhao Liu, Caiming Xiong, Yingbo Zhou

Compared with DNNC, our proposed method is more efficient in both training and serving since it is based upon the entailment between query utterance and labels instead of all the training examples.

Classification intent-classification +2

Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding

no code implementations • 11 Dec 2023 • Lifu Tu, Semih Yavuz, Jin Qu, Jiacheng Xu, Rui Meng, Caiming Xiong, Yingbo Zhou

Large Language Models (LLMs) have demonstrated a powerful ability for text generation.

Question Answering Text Generation

Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning

1 code implementation • 3 Apr 2023 • Lifu Tu, Jin Qu, Semih Yavuz, Shafiq Joty, Wenhao Liu, Caiming Xiong, Yingbo Zhou

Our results demonstrate the strong and efficient modeling ability of NLI-based classifiers and the large cross-lingual transfer improvements achieved by our aligned prompts, particularly in few-shot settings.

Cross-Lingual Transfer intent-classification +4

Converse: A Tree-Based Modular Task-Oriented Dialogue System

1 code implementation • 23 Mar 2022 • Tian Xie, Xinyi Yang, Angela S. Lin, Feihong Wu, Kazuma Hashimoto, Jin Qu, Young Mo Kang, Wenpeng Yin, Huan Wang, Semih Yavuz, Gang Wu, Michael Jones, Richard Socher, Yingbo Zhou, Wenhao Liu, Caiming Xiong

At the core of the struggle is the need to script every single turn of interactions between the bot and the human user.

Dialogue Management Management +1