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Negar Arabzadeh

Postdoctoral Fellow at UC Berkeley

This is Negar Arabzadeh. I am a postdoctoral researcher at UC Berkeley, working with Professor Matei Zaharia. I completed my PhD at the University of Waterloo, where I was advised by Dr. Charles Clarke. My research lies at the intersection of information retrieval and the evaluation of—and with—large language models (LLMs) in information access systems.

August 2025 

🪑I will be serving as Workshop chair for ECIR 2026.

 

July 2025

✈️I attended SIGIR in Padua,Italy.

🏅I won best reviewer award at SIGIR.

June 2025 

🪑I will be serving as Publicity chair for CHIIR 2026.

🏆 I was honored to receive SIGIR student travel grant.

May 2025

🎓 I have successfully defended my PhD! 

April 2025

🌟I moved to California and officially started my postdoc at UC Berkeley — can’t believe this dream is now reality!

📚Four papers got accepted in SIGIR:

  • Benchmarking LLM-based Relevance Judgment Methods

    • w/ Charles Clarke

  • VAP3: Variation-Aware Prompt Performance Prediction

    • w/ Ebrahim Bagheri​

  • A Human-AI Comparative Analysis of Prompt Sensitivity in LLM-Based Relevance Judgment​

    • w/ Charles Clarke

  • IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving Agents

    • w/ Shrestha Mohanty,  Andrea Tupini, Yuxuan Sun, Alexey Skrynnik, Artem Zholus, Marc-Alexandre Cote and Julia Kiseleva​

 

December 2024

✈️I attended SIGIR-AP in Tokyo,Japan. 

  • We presented two papers and a tutorial.

✈️I attended ACML in Hanoi,Vietnam. 

  • We presented two papers.

📚Two papers got accepted in ECIR:

  • ​exHarmony: Authorship and Citations for Benchmarking the Reviewer Assignment Problem

    • w/Sajad Ebrahimi, Sara Salamat, Mahdi Bashari and Ebrahim Bagheri​

  • Benchmarking Prompt Sensitivity in Large Language Models

    • w/ Amirhosein Razavi, Mina Soltangheis, Sara Salamat, Morteza Zihayat and Ebrahim Bagheri​

November 2024

✈️I attended my first EMNLP in Miami,USA.

  • WOW it was huge!

October 2024

✈️I attended CIKM in Boise, Idaho.

📚 Our paper  "Assessing and Verifying Task Utility in LLM-Powered Applications" was accepted at EMNLP 2024. 

W/ Siqing Huo, Nikhil Mehta, Qingyun Wu, Chi Wang, Ahmed Hassan Awadallah, Charles L. A. Clarke and Julia Kiseleva  

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