Publications
Priya Pitre, Omkar Joshi, Timon Ziegenbein, Henning Wachsmuth “ReFeedGraph: Graph-Grounded Reusable Feedback for Debate Improvement”. The 2026 Conference on Empirical Methods in Natural Language Processing
Jun Hou, Priya Pitre, Yi Fang, Xuan Wang, “EDGE: Error Dependency Graph-Guided Multi-Error Attribution in Multi-Agent LLM Systems”, in Proc. Findings of the 2026 Conference on Empirical Methods in Natural Language Processing 2026
Rituparna Datta, Zihan Guan, Baltazar Espinoza, Yiqi Su, Priya Pitre, Srini Venkatramanan, Naren Ramakrishnan, Anil Vullikanti “Agentic Framework for Epidemiological Modeling”. International Conference on Machine Learning 2026
Priya Pitre, Gaurav Srivastava, Lu Zhang, Le Wang, Naren Ramakrishnan, Xuan Wang. 2025. “A Diagnostic Study of Multi-Agent LLMs for Real-World Debates. International Conference on Machine Learning 2026
Gaurav Srivastava, Aafiya Shamshad Hussain, Zhenyu Bi, Swastik Roy, Priya Pitre, Meng Lu, Morteza Ziyadi, and Xuan Wang. “BeyondBench: Contamination-Resistant Evaluation of Reasoning in Language Models.” In The Fourteenth International Conference on Learning Representations 2026.
Priya Pitre, Naren Ramakrishnan, and Xuan Wang. 2025. “CONSENSAGENT: Towards Efficient and Effective Consensus in Multi-Agent LLM Interactions Through Sycophancy Mitigation”. In Findings of the Association for Computational Linguistics: ACL 2025, pages 22112–22133, Vienna, Austria. Association for Computational Linguistics.
Priya Pitre*, Omkar Joshi, Yashodhara Haribhakta, “ArgAnalysis35K : A largescale dataset for Argument Quality Analysis”. In: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Toronto, Canada: Association for Computational Linguistics, July 2023, pp. 13916–13931. doi: 10. 18653/v1/2023.acl- long.778. url: https://aclanthology.org/2023.acllong.778.
Priya Pitre, A. Gandhi, V. Konde, R. Adhao and V. Pachghare, “An Intrusion Detection System for Zero-Day Attacks to Reduce False Positive Rates,” 2022 International Conference for Advancement in Technology (ICONAT), Goa, India, 2022, pp. 1-6, doi: 10.1109/ICONAT53423.2022.9726105.