Publications

  • Bagheri Nezhad, S., Bandyapadhyay, S., & Agrawal, A. (2024). Fair Summarization: Bridging Quality and Diversity in Extractive Summaries. Algorithmic Fairness through the Lens of Metrics and Evaluation Workshop @ NeurIPS 2024. (arXiv, Poster)

  • Agrawal, A., Dang, A., Bagheri Nezhad, S., Pokharel, R., & Scheinberg, R. (2024). Evaluating Multilingual Long-Context Models for Retrieval and Reasoning. The 4th Multilingual Representation Learning (MRL) Workshop @ EMNLP 2024. (arXiv, ACL Anthology)

  • Bagheri Nezhad, S., & Agrawal, A. (2024). What Drives Performance in Multilingual Language Models? The Eleventh Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2024) @ NAACL 2024. (arXiv, ACL Anthology, Poster)

  • Bagheri Nezhad, S., & Agrawal, A. (2023). Exploring the Maze of Multilingual Modeling. arXiv preprint arXiv:2310.05404. (arXiv)

  • Bagheri-Nezhad, S., Mozayani, N., Abdi, E., & Rostami, S. (2021). Smoking prevalence in Covid-19 patients. arXiv preprint arXiv:2107.13599. (arXiv)

  • Bagheri-Nezhad, S., Abdi, E., Mozayani, N., & Mehrafza, M. (2021). Investigation of the smoking prevalence among critically ill patients with COVID-19. Journal of Control, 14(5), 33-37. (Journal)

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Professional Services:

  • Reviewer: Computational Intelligence, SET LLM @ ICLR, LREC-COLING, CALDAM, EMNLP.
  • Program Committee: SustaiNLP @ ACL 2023

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