I am a PhD student in Computer Science at Tufts University where I work under the supervision of Dr. Vasanth Sarathy. I am generally interested in Natural Language Processing, and its intersection with social sciences and argumentation. I am also interested in fairness in NLP systems and how we can both assess and mitigate biases in Large Language Models.

Prior to Tufts, I was a master’s student in Computer Science at Worcester Polytechnic Institute where I worked with Dr. Rose Bohrer on Linear Logic Programming and its applications to exploit detection in Software Systems.

I love talking about all-things NLP (also video games, fantasy and sci-fi books, and sports) and I am open to collaboration. Feel free to drop me an email.

News

June 2026
Excited to join Comcast as an AI Research Intern for the duration of the summer, where I will be working on self-evolving agents in multi-agent systems!
February 2026
Happy to announce that our paper Breaking the Benchmark: Revealing LLM Bias via Minimal Contextual Augmentation has been accepted to LREC 2026!
November 2025
Two papers accepted for AAAI 2026:
October 2024
Attending EMNLP 2024 in Miami to present our paper "Let's Argue Both Sides": Argument Generation Can Force Small Models to Utilize Previously Inaccessible Reasoning Capabilities at the Workshop on Customizable NLP.

Publications

IntelliProof: An Argumentation Network-based Conversational Helper for Organized Reflection

AAAI 2026
Kaveh Eskandari Miandoab, Katharine Kowalyshyn, Kabir Pamnani, Anesu Gavhera, Vasanth Sarathy, Matthias Scheutz
AAAI Conference on Artificial Intelligence (Demonstration Track), 2026
Paper arXiv 
@article{eskandari2026intelliproof,
  title={IntelliProof: An Argumentation Network-based Conversational Helper for Organized Reflection},
  author={Eskandari Miandoab, Kaveh and Kowalyshyn, Katharine and Pamnani, Kabir and Gavhera, Anesu and Sarathy, Vasanth and Scheutz, Matthias},
  journal={Proceedings of the AAAI Conference on Artificial Intelligence (Demonstrations)},
  year={2026}
}

Where Norms and References Collide: Evaluating LLMs on Normative Reasoning

AAAI 2026
Mitchell Abrams, Kaveh Eskandari Miandoab, Felix Gervits, Vasanth Sarathy, Matthias Scheutz
AAAI Conference on Artificial Intelligence (Main Technical Track), 2026
arXiv 
@article{abrams2026norms,
  title={Where Norms and References Collide: Evaluating LLMs on Normative Reasoning},
  author={Abrams, Mitchell and Eskandari Miandoab, Kaveh and Gervits, Felix and Sarathy, Vasanth and Scheutz, Matthias},
  journal={Proceedings of the AAAI Conference on Artificial Intelligence (Main Technical Track)},
  year={2026}
}

Breaking the Benchmark: Revealing LLM Bias via Minimal Contextual Augmentation

LREC 2026
Kaveh Eskandari Miandoab, Mahammed Kamruzzaman, Arshia Gharooni, Gene Louis Kim, Vasanth Sarathy, Ninareh Mehrabi
Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC), 2026
arXiv 
@inproceedings{eskandari2026breaking,
  title={Breaking the Benchmark: Revealing LLM Bias via Minimal Contextual Augmentation},
  author={Eskandari Miandoab, Kaveh and Kamruzzaman, Mahammed and Gharooni, Arshia and Kim, Gene Louis and Sarathy, Vasanth and Mehrabi, Ninareh},
  booktitle={Proceedings of the Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC 2026)},
  year={2026}
}

Noise Injection Systemically Degrades Large Language Model Safety Guardrails

Preprint
Prithviraj Singh Shahani, Kaveh Eskandari Miandoab, Matthias Scheutz
arXiv Preprint, 2025
arXiv 
@article{shahani2025noise,
  title={Noise Injection Systemically Degrades Large Language Model Safety Guardrails},
  author={Shahani, Prithviraj Singh and Eskandari Miandoab, Kaveh and Scheutz, Matthias},
  journal={arXiv preprint arXiv:2505.13500},
  year={2025}
}

"Let's Argue Both Sides": Argument Generation Can Force Small Models to Utilize Previously Inaccessible Reasoning Capabilities

EMNLP 2024 Workshop
Kaveh Eskandari Miandoab, Vasanth Sarathy
Workshop on Customizable NLP at EMNLP, 2024
arXiv Workshop 
@inproceedings{eskandari2024argue,
  title={"Let's Argue Both Sides": Argument Generation Can Force Small Models to Utilize Previously Inaccessible Reasoning Capabilities},
  author={Eskandari Miandoab, Kaveh and Sarathy, Vasanth},
  booktitle={Proceedings of the EMNLP Workshop on Customizable NLP},
  year={2024}
}

DiFair: A Benchmark for Disentangled Assessment of Gender Knowledge and Bias

Findings of EMNLP 2023
Mahdi Zakizadeh, Kaveh Eskandari Miandoab, Mohammad Taher Pilehvar
Findings of the Association for Computational Linguistics: EMNLP, 2023
ACL Anthology 
@inproceedings{zakizadeh2023difair,
  title={DiFair: A Benchmark for Disentangled Assessment of Gender Knowledge and Bias},
  author={Zakizadeh, Mahdi and Eskandari Miandoab, Kaveh and Pilehvar, Mohammad Taher},
  booktitle={Findings of the Association for Computational Linguistics: EMNLP 2023},
  pages={1925--1940},
  year={2023}
}

Academic Service

Program Committee

AAAI 2026 Program Committee

Conference Reviewer

ICLR 2025 NLP Track
AISTATS 2025 NLP Track
AIES 2025 Reviewer