Keng-Te Liao

According to our database, Keng-Te Liao authored at least 10 papers between 2017 and 2025.

Collaborative distances:

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

2025

Consistent Labeling Across Group Assignments: Variance Reduction in Conditional Average Treatment Effect Estimation.

Yi-Fu Fu, Keng-Te Liao, Shou-De Lin

CoRR, July, 2025

Enhance Modality Robustness in Text-Centric Multimodal Alignment with Adversarial Prompting.

Yun-Da Tsai, Ting-Yu Yen, Keng-Te Liao, Shou-De Lin

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Think or Remember? Detecting and Directing LLMs Towards Memorization or Generalization.

Yi-Fu Fu, Yu-Chieh Tu, Tzu-Ling Cheng, Cheng-Yu Lin, Yi-Ting Yang, Heng-Yi Liu, Keng-Te Liao, Da-Cheng Juan, Shou-De Lin

CoRR, 2024

Enhance the Robustness of Text-Centric Multimodal Alignments.

Ting-Yu Yen, Yun-Da Tsai, Keng-Te Liao, Shou-De Lin

CoRR, 2024

2022

Bayesian mixture variational autoencoders for multi-modal learning.

Keng-Te Liao, Bo-Wei Huang, Chih-Chun Yang, Shou-De Lin

Mach. Learn., 2022

Environment Diversification with Multi-head Neural Network for Invariant Learning.

Bo-Wei Huang, Keng-Te Liao, Chang-Sheng Kao, Shou-De Lin

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

2020

Explaining Word Embeddings via Disentangled Representation.

Keng-Te Liao, Cheng-Syuan Lee, Zhong-Yu Huang, Shou-de Lin

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Explainable and Sparse Representations of Academic Articles for Knowledge Exploration.

Keng-Te Liao, Zhihong Shen, Chiyuan Huang, Chieh-Han Wu, Po-Chun Chen, Kuansan Wang, Shou-de Lin

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2018

Word Relation Autoencoder for Unseen Hypernym Extraction Using Word Embeddings.

Hong-You Chen, Cheng-Syuan Lee, Keng-Te Liao, Shou-de Lin

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

2017

A Cross-Domain Recommender System Based on Common-Sense Knowledge Bases.

Yi-Ting Tsai, Chih-Shiang Wu, Hsiang-Ling Hsu, Tenniel Liu, Pei-Lin Chen, Wen-Hao Chen, Keng-Te Liao

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2017