Search Results for author: Yi-Ting Yeh

Found 10 papers, 4 papers with code

Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning

no code implementations25 May 2022 Prakhar Gupta, Cathy Jiao, Yi-Ting Yeh, Shikib Mehri, Maxine Eskenazi, Jeffrey P. Bigham

We introduce InstructDial, an instruction tuning framework for dialogue, which consists of a repository of 48 diverse dialogue tasks in a unified text-to-text format created from 59 openly available dialogue datasets.

Dialogue Evaluation Intent Detection +1

Breaking Down Multilingual Machine Translation

no code implementations Findings (ACL) 2022 Ting-Rui Chiang, Yi-Pei Chen, Yi-Ting Yeh, Graham Neubig

While multilingual training is now an essential ingredient in machine translation (MT) systems, recent work has demonstrated that it has different effects in different multilingual settings, such as many-to-one, one-to-many, and many-to-many learning.

Machine Translation Translation

Are you doing what I say? On modalities alignment in ALFRED

no code implementations12 Oct 2021 Ting-Rui Chiang, Yi-Ting Yeh, Ta-Chung Chi, Yau-Shian Wang

ALFRED is a recently proposed benchmark that requires a model to complete tasks in simulated house environments specified by instructions in natural language.

QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization

1 code implementation IJCNLP 2019 Yi-Ting Yeh, Yun-Nung Chen

Standard accuracy metrics indicate that modern reading comprehension systems have achieved strong performance in many question answering datasets.

Question Answering Reading Comprehension

FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension

1 code implementation WS 2019 Yi-Ting Yeh, Yun-Nung Chen

Conversational machine comprehension requires deep understanding of the dialogue flow, and the prior work proposed FlowQA to implicitly model the context representations in reasoning for better understanding.

Reading Comprehension

Reactive Multi-Stage Feature Fusion for Multimodal Dialogue Modeling

no code implementations14 Aug 2019 Yi-Ting Yeh, Tzu-Chuan Lin, Hsiao-Hua Cheng, Yu-Hsuan Deng, Shang-Yu Su, Yun-Nung Chen

Visual question answering and visual dialogue tasks have been increasingly studied in the multimodal field towards more practical real-world scenarios.

Question Answering Scene-Aware Dialogue +2

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