Ta-Chung Chi

According to our database, Ta-Chung Chi authored at least 20 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Attention Alignment and Flexible Positional Embeddings Improve Transformer Length Extrapolation.

Ta-Chung Chi, Ting-Han Fan, Alexander I. Rudnicky

CoRR, 2023

Advancing Regular Language Reasoning in Linear Recurrent Neural Networks.

Ting-Han Fan, Ta-Chung Chi, Alexander I. Rudnicky

CoRR, 2023

Transformer Working Memory Enables Regular Language Reasoning And Natural Language Length Extrapolation.

Ta-Chung Chi, Ting-Han Fan, Alexander Rudnicky, Peter J. Ramadge

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification.

Yau-Shian Wang, Ta-Chung Chi, Ruohong Zhang, Yiming Yang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Dissecting Transformer Length Extrapolation via the Lens of Receptive Field Analysis.

Ta-Chung Chi, Ting-Han Fan, Alexander Rudnicky, Peter J. Ramadge

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Latent Positional Information is in the Self-Attention Variance of Transformer Language Models Without Positional Embeddings.

Ta-Chung Chi, Ting-Han Fan, Li-Wei Chen, Alexander Rudnicky, Peter J. Ramadge

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Receptive Field Alignment Enables Transformer Length Extrapolation.

Ta-Chung Chi, Ting-Han Fan, Alexander I. Rudnicky

CoRR, 2022

On Task-Adaptive Pretraining for Dialogue Response Selection.

Tzu-Hsiang Lin, Ta-Chung Chi, Anna Rumshisky

CoRR, 2022

Structured Dialogue Discourse Parsing.

Ta-Chung Chi, Alexander I. Rudnicky

Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation.

Ta-Chung Chi, Ting-Han Fan, Peter J. Ramadge, Alexander Rudnicky

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Training Discrete Deep Generative Models via Gapped Straight-Through Estimator.

Ting-Han Fan, Ta-Chung Chi, Alexander I. Rudnicky, Peter J. Ramadge

Proceedings of the International Conference on Machine Learning, 2022

2021

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

Ting-Rui Chiang, Yi-Ting Yeh, Ta-Chung Chi, Yau-Shian Wang

CoRR, 2021

Zero-Shot Dialogue Disentanglement by Self-Supervised Entangled Response Selection.

Ta-Chung Chi, Alexander I. Rudnicky

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Automatic Speech Verification Spoofing Detection.

Shentong Mo, Haofan Wang, Pinxu Ren, Ta-Chung Chi

CoRR, 2020

Just Ask: An Interactive Learning Framework for Vision and Language Navigation.

Ta-Chung Chi, Minmin Shen, Mihail Eric, Seokhwan Kim, Dilek Hakkani-Tür

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

BCWS: Bilingual Contextual Word Similarity.

Ta-Chung Chi, Ching-Yen Shih, Yun-Nung Chen

CoRR, 2018

xSense: Learning Sense-Separated Sparse Representations and Textual Definitions for Explainable Word Sense Networks.

Ting-Yun Chang, Ta-Chung Chi, Shang-Chi Tsai, Yun-Nung Chen

CoRR, 2018

CLUSE: Cross-Lingual Unsupervised Sense Embeddings.

Ta-Chung Chi, Yun-Nung Chen

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Speaker Role Contextual Modeling for Language Understanding and Dialogue Policy Learning.

Ta-Chung Chi, Po-Chun Chen, Shang-Yu Su, Yun-Nung Chen

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Dynamic time-aware attention to speaker roles and contexts for spoken language understanding.

Po-Chun Chen, Ta-Chung Chi, Shang-Yu Su, Yun-Nung Chen

Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017