3 citations · 5 across the 5 of their papers we have counts for
8 papers
Are you doing what I say? On modalities alignment in ALFRED
Ting-Rui Chiang, Yi-Ting Yeh, Ta-Chung Chi +1
ALFRED is a recently proposed benchmark that requires a model to complete tasks in simulated house environments specified by instructions in natural language. We hypothesize that k…
On a Benefit of Mask Language Modeling: Robustness to Simplicity Bias
Ting-Rui Chiang
Despite the success of pretrained masked language models (MLM), why MLM pretraining is useful is still a qeustion not fully answered. In this work we theoretically and empirically…
Relating Neural Text Degeneration to Exposure Bias
Ting-Rui Chiang, Yun-Nung Chen
This work focuses on relating two mysteries in neural-based text generation: exposure bias, and text degeneration. Despite the long time since exposure bias was mentioned and the n…
Why Can You Lay Off Heads? Investigating How BERT Heads Transfer
Ting-Rui Chiang, Yun-Nung Chen
The huge size of the widely used BERT family models has led to recent efforts about model distillation. The main goal of distillation is to create a task-agnostic pre-trained model…
An Empirical Study of Content Understanding in Conversational Question Answering
Ting-Rui Chiang, Hao-Tong Ye, Yun-Nung Chen
With a lot of work about context-free question answering systems, there is an emerging trend of conversational question answering models in the natural language processing field. T…
Learning Multi-Level Information for Dialogue Response Selection by Highway Recurrent Transformer
Ting-Rui Chiang, Chao-Wei Huang, Shang-Yu Su +1
With the increasing research interest in dialogue response generation, there is an emerging branch formulating this task as selecting next sentences, where given the partial dialog…