Publications and Preprints

You can also find the publications on my Google Scholar profile
(*equal contribution, ✉corresponding author)

2024

  1. Pritom Saha Akash, Kevin Chen-Chuan Chang. Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs. Findings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP Findings). 2024.
  2. Kashob Kumar Roy, Pritom Saha Akash, Lucian Popa, and Kevin Chen-Chuan Chang. ConTReGen: Context-driven Tree-structured Retrieval for Open-domain Long-form Text Generation. Findings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP Findings). 2024.
  3. Cong, Youan, Cheng Wang, Pritom Saha Akash✉, and Kevin Chen-Chuan Chang. Query Optimization for Parametric Knowledge Refinement in Retrieval-Augmented Large Language Models. arXiv preprint arXiv:2411.07820 (2024). [pdf]

2023

  1. Lam Do, Pritom Saha Akash, Kevin Chen-Chuan Chang. Unsupervised Open-domain Keyphrase Generation. The 61st Annual Meeting of the Association for Computational Linguistics (ACL). 2023.
  2. Pritom Saha Akash, Jie Huang, and Kevin Chen-Chuan Chang. Let the Pretrained Language Models ``Imagine’’ for Short Texts Topic Modeling. arXiv preprint arXiv:2310.15420 (2023). [pdf]
  3. Pritom Saha Akash, Kashob Kumar Roy, Lucian Popa, and Kevin Chen-Chuan Chang. Long-form Question Answering: An Iterative Planning-Retrieval-Generation Approach. arXiv preprint arXiv:2311.09383 (2023). [pdf]
  4. Pritom Saha Akash*, Trisha Das*, and Kevin Chen-Chuan Chang. TopicAdapt-An Inter-Corpora Topics Adaptation Approach. arXiv preprint arXiv:2310.04978 (2023). [pdf]

2022

  1. Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang. Coordinated Topic Modeling. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2022.
  2. Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang, Yunyao Li, Lucian Popa, ChengXiang Zhai. Domain Representative Keywords Selection: A Probabilistic Approach. Findings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL Findings). 2022.

2021

  1. Pritom Saha Akash, Kevin Chen-Chuan Chang. Exploring Variational Graph Auto-Encoders for Extract Class Refactoring Recommendation. arXiv preprint arXiv:2203.08787 (2021). [pdf]
  2. Pritom Saha Akash, Wei-Cheng Lai, Po-Wen Lin. Online Aggregation based Approximate Query Processing: A Literature Survey. arXiv preprint arXiv:2204.07125 (2021). [pdf]

2020

  1. Md. Eusha Kadir, Pritom Saha Akash, Sadia Sharmin, Amin Ahsan Ali, and Mohammad Shoyaib. A Proximity Weighted Evidential k Nearest Neighbor Classifier for Imbalanced Data. In Pacific-Asia Conference on Knowledge Discovery and Data Mining, (PAKDD) pp. 71-83. Springer, Cham, 2020.
  2. Tarek, M. H., Kadir, M. E., Mahbub, M., Pritom Saha Akash, Ali, A. A., & Shoyaib, M. (2020, August). Mutual Information based feature selection for nurse care activity recognition. In 2020 Joint 9th International Conference on Informatics, Electronics & Vision (ICIEV) and 2020 4th International Conference on Imaging, Vision \& Pattern Recognition (icIVPR) (pp. 1-6). IEEE.

2019

  1. Md. Eusha Kadir*, Pritom Saha Akash*, Sadia Sharmin, Amin Ahsan Ali, and Mohammad Shoyaib. Can a Simple Approach Identify Complex Nurse Care Activity? In Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2019 International Symposium on Wearable Computers (UbiComp/ISWC Adjunct). 2019.
  2. Pritom Saha Akash, Md. Eusha Kadir, Amin Ahsan Ali and Mohammad Shoyaib. Inter-node Hellinger distance based Decision Tree. In Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, (IJCAI), 2019.
  3. Pritom Saha Akash*, Md. Eusha Kadir, Amin Ahsan Ali, Md. Nurul Ahad Tawhid and Mohammad Shoyaib. Introducing Confidence as a Weight in Random Forest. 2019 International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST). (*Best Presenter)
  4. Pritom Saha Akash, Ali Zafar Sadiq and Ahmedul Kabir. An Approach of Extracting God Class Exploiting Both Structural and Semantic Similarity. 14th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE). 2019.
  5. Jeba, Tahmim, Tarek Mahmud, Pritom Saha Akash, and Nadia Nahar. God Class Refactoring Recommendation and Extraction Using Context based Grouping.
  6. Md. Eusha Kadir, Pritom Saha Akash, Amin Ahsan Ali, Mohammad Shoyaib and Zerina Begum, ”Evidential SVM for binary classification”, ICASERT-2019: 1st International Conference on Advances in Science, Engineering and Robotics Technology.
  7. Ali Zafar Sadiq, Ahmedul Kabir, Pritom Saha Akash and Md. Jubair Ibna Mostafa. Analyzing Corrective Maintenance using Change Coupled Clusters at Fix-inducing Changes. 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE).