Sang Dinh

According to our database, Sang Dinh authored at least 13 papers between 2020 and 2025.

Collaborative distances:

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

2025

Optimizing Answer Generator in Vietnamese Legal Question Answering Systems Using Language Models.

Huong Le, Ngoc Luu, Thanh Nguyen, Dao Minh Tuan, Sang Dinh

ACM Trans. Asian Low Resour. Lang. Inf. Process., June, 2025

FAID: Fine-grained AI-generated Text Detection using Multi-task Auxiliary and Multi-level Contrastive Learning.

Minh Ngoc Ta, Dong Cao Van, Duc-Anh Hoang, Minh Le-Anh, Truong Nguyen, My Anh Tran Nguyen, Yuxia Wang, Preslav Nakov, Sang Dinh

CoRR, May, 2025

GloCOM: A Short Text Neural Topic Model via Global Clustering Context.

Quang Duc Nguyen, Tung Nguyen, Duc Anh Nguyen, Linh Ngo Van, Sang Dinh, Thien Huu Nguyen

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Sharpness-Aware Minimization for Topic Models with High-Quality Document Representations.

Tung Nguyen, Tue Le, Hoang Tran Vuong, Quang Duc Nguyen, Duc Anh Nguyen, Linh Ngo Van, Sang Dinh, Thien Huu Nguyen

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Improving Vietnamese-English Cross-Lingual Retrieval for Legal and General Domains.

Toan Ngoc Nguyen, Nam Le Hai, Nguyen Doan Hieu, Dai An Nguyen, Linh Ngo Van, Thien Huu Nguyen, Sang Dinh

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Enhancing Discriminative Representation in Similar Relation Clusters for Few-Shot Continual Relation Extraction.

Anh Duc Le, Nam Le Hai, Thanh Xuan Nguyen, Linh Ngo Van, Nguyen Thi Ngoc Diep, Sang Dinh, Thien Huu Nguyen

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

HiCOT: Improving Neural Topic Models via Optimal Transport and Contrastive Learning.

Hoang Tran Vuong, Tue Le, Tu Vu, Tung Nguyen, Linh Ngo Van, Sang Dinh, Thien Huu Nguyen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Topic Modeling for Short Texts via Optimal Transport-Based Clustering.

Tu Vu, Manh Do, Tung Nguyen, Ngo Van Linh, Sang Dinh, Thien Huu Nguyen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Mitigating Non-Representative Prototypes and Representation Bias in Few-Shot Continual Relation Extraction.

Thanh Duc Pham, Nam Le Hai, Linh Ngo Van, Nguyen Thi Ngoc Diep, Sang Dinh, Thien Huu Nguyen

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

SemiKong: Curating, Training, and Evaluating A Semiconductor Industry-Specific Large Language Model.

Christopher Nguyen, William Nguyen, Atsushi Suzuki, Daisuke Oku, Hong An Phan, Sang Dinh, Zooey Nguyen, Anh Ha, Shruti Raghavan, Huy Vo, Thang Nguyen, Lan Nguyen, Yoshikuni Hirayama

CoRR, 2024

DANA: Domain-Aware Neurosymbolic Agents for Consistency and Accuracy.

Vinh Luong, Sang Dinh, Shruti Raghavan, William Nguyen, Zooey Nguyen, Quynh Le, Hung Vo, Kentaro Maegaito, Loc Nguyen, Thao Nguyen, Anh Hai Ha, Christopher Nguyen

CoRR, 2024

Enhancing Q&A with Domain-Specific Fine-Tuning and Iterative Reasoning: A Comparative Study.

Zooey Nguyen, Anthony Annunziata, Vinh Luong, Sang Dinh, Quynh Le, Anh Hai Ha, Chanh Le, Hong An Phan, Shruti Raghavan, Christopher Nguyen

CoRR, 2024

2020

Facial UV map completion for pose-invariant face recognition: a novel adversarial approach based on coupled attention residual UNets.

In Seop Na, Chung Tran, Dung Nguyen, Sang Dinh

Hum. centric Comput. Inf. Sci., 2020