@misc{dammu2024spnagent,title={A Shopping Agent for Addressing Subjective Product Needs},author={Dammu, Preetam Prabhu Srikar and Alonso, Omar and Poblete, Barbara},booktitle={Proceedings of the 18th ACM International Conference on Web Search and Data Mining},year={2024},publisher={Association for Computing Machinery},address={New York, NY, USA},}
ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs
Preetam Prabhu Srikar Dammu, Himanshu Naidu, Mouly Dewan, and 4 more authors
@misc{dammu2024claimverexplainableclaimlevelverification,title={ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs},author={Dammu, Preetam Prabhu Srikar and Naidu, Himanshu and Dewan, Mouly and Kim, YoungMin and Roosta, Tanya and Chadha, Aman and Shah, Chirag},booktitle={Findings of the Association for Computational Linguistics: EMNLP 2024},year={2024},publisher={Association for Computational Linguistics},url={https://aclanthology.org/2024.findings-emnlp.795},doi={10.18653/v1/2024.findings-emnlp.795},}
’They are uncultured’: Unveiling Covert Harms and Social Threats in LLM Generated Conversations
Preetam Prabhu Srikar Dammu, Hayoung Jung, Anjali Singh, and 2 more authors
@misc{dammu2024theyunculturedunveilingcovert,title={'They are uncultured': Unveiling Covert Harms and Social Threats in LLM Generated Conversations},author={Dammu, Preetam Prabhu Srikar and Jung, Hayoung and Singh, Anjali and Choudhury, Monojit and Mitra, Tanushree},booktitle={Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing},year={2024},publisher={Association for Computational Linguistics},url={https://aclanthology.org/2024.emnlp-main.1134},doi={10.18653/v1/2024.emnlp-main.1134},}
Near-duplicate Question Detection
Preetam Prabhu Srikar Dammu, and Omar Alonso
In Companion Proceedings of the ACM Web Conference 2024, 2024
Suggesting relevant questions to users is an important task in various applications, such as community Q&A or e-commerce websites. To ensure that there is no redundancy in the selected set of candidate questions, it is essential to filter out any near-duplicate questions. Identifying near-duplicate questions has another use case in light of the adoption of Large Language Models (LLMs) - fetching pre-computed answers for similar questions. However, identifying the similarity of questions is a bit more complex in comparison to generic text, as questions entail open-ended information that is not explicitly contained within the wording of the question itself. We introduce a taxonomy that accounts for the subtle intricacies characteristic of near-duplicate questions and propose a method for detecting them utilizing the capabilities of LLMs.
2023
Detecting Spurious Correlations via Robust Visual Concepts in Real and AI-Generated Image Classification
Preetam Prabhu Srikar Dammu, and Chirag Shah
In 37th Conference on Neural Information Processing Systems (NeurIPS), XAIA Workshop, 2023
@inproceedings{dammu2023detecting,title={Detecting Spurious Correlations via Robust Visual Concepts in Real and {AI}-Generated Image Classification},author={Dammu, Preetam Prabhu Srikar and Shah, Chirag},booktitle={37th Conference on Neural Information Processing Systems (NeurIPS), XAIA Workshop},year={2023},url={https://openreview.net/forum?id=ewagDhIy8Y},}
Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models
Preetam Prabhu Srikar Dammu, Yunhe Feng, and Chirag Shah
In International Joint Conference on Artificial Intelligence, 2023
@inproceedings{Dammu2023AddressingWD,title={Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models},author={Dammu, Preetam Prabhu Srikar and Feng, Yunhe and Shah, Chirag},booktitle={International Joint Conference on Artificial Intelligence},year={2023},url={https://www.ijcai.org/proceedings/2023/659},}
@inproceedings{dammu2021interpretable,title={Interpretable and Robust Face Verification.},author={Dammu, Preetam Prabhu Srikar and Chalamala, Srinivasa Rao and Singh, Ajeet Kumar and Yegnanarayana, Bayya},booktitle={CIKM Workshops},year={2021},}
2019
Employing temporal properties of brain activity for classifying autism using machine learning
Preetam Srikar Dammu, and Raju Surampudi Bapi
In Pattern Recognition and Machine Intelligence, 2019
@inproceedings{dammu2019employing,title={Employing temporal properties of brain activity for classifying autism using machine learning},author={Dammu, Preetam Srikar and Bapi, Raju Surampudi},booktitle={Pattern Recognition and Machine Intelligence},pages={193--200},year={2019},organization={Springer},}
Temporal dynamics of the brain using variational bayes hidden Markov models: application in autism
Preetam Srikar Dammu, and Raju Surampudi Bapi
In Pattern Recognition and Machine Intelligence, 2019
@inproceedings{dammu2019temporal,title={Temporal dynamics of the brain using variational bayes hidden Markov models: application in autism},author={Dammu, Preetam Srikar and Bapi, Raju Surampudi},booktitle={Pattern Recognition and Machine Intelligence},pages={121--130},year={2019},organization={Springer},}