Agam Goyal

agamg2 [at] illinois [dot] edu

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I am a Computer Science Ph.D. student at the University of Illinois Urbana-Champaign, where I am working on making large language models more aligned with human values and their applications in social settings. My work is graciously supported in part by the Cohere For AI Research Grant Program. See this page for more details on my past and current research interests.

Previously, I was an undergraduate student at the University of Wisconsin-Madison where I graduated with a B.S. with Comprehensive Honors, majoring in Computer Science, Mathematics, and Data Science, with a minor in Economic Analytics.

Over the last two summers, I worked as a Software Development Engineer (SDE) Intern at Amazon Web Services (AWS) in the EC2 Modernization team (2024), developing an RAG-based framework for decompiled C# source code summarization, and on the Alexa Devices Speech Middleware team (2023), working on making it easier for applications to achieve Alexa Voice Integration and built an application to help automate the end-to-end testing of Alexa’s Speech functionalities.

News

Oct 17, 2024 Two new preprints on Uncovering the Internet’s Hidden Values and Small Language Models for Content Moderation are now on arXiv!
Jun 20, 2024 Check out our new pre-print on aligning LLM-agents using belief networks Beyond Demographics: Aligning Role-playing LLM-based Agents Using Human Belief Networks on arXiv.
May 20, 2024 Starting a new position as an SDE Intern at Amazon Web Services (AWS).
Apr 30, 2024 Named an exceptional reviewer by DMLR.
Apr 27, 2024 Our work on Uncovering the Hidden Cost of Model Compression has been accepted to Prompting in Vision Workshop at CVPR 2024!

Selected publications

  1. NAACL, ICLR’W
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    Simulating Opinion Dynamics with Networks of LLM-based Agents
    Yun-Shiuan Chuang,  Agam Goyal, Nikunj Harlalka, Siddharth Suresh, Robert Hawkins, Sijia Yang, Dhavan Shah, Junjie Hu, and Timothy T Rogers
    In Findings of the Association for Computational Linguistics: NAACL 2024, 2024
  2. EMNLP, NeurIPS’W
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    Beyond Demographics: Aligning Role-playing LLM-based Agents Using Human Belief Networks
    Yun-Shiuan Chuang, Krirk Nirunwiroj, Zach Studdiford, Agam Goyal, Vincent V. Frigo, Sijia Yang, Dhavan V. Shah, Junjie Hu, and Timothy T. Rogers
    In Findings of the Association for Computational Linguistics: EMNLP 2024, Nov 2024
  3. arXiv
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    Uncovering the Internet’s Hidden Values: An Empirical Study of Desirable Behavior Using Highly-Upvoted Content on Reddit
    Agam Goyal, Charlotte Lambert, and Eshwar Chandrasekharan
    arXiv preprint arXiv:2410.13036, Nov 2024
  4. arXiv
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    SLM-Mod: Small Language Models Surpass LLMs at Content Moderation
    Xianyang Zhan*Agam Goyal*, Yilun Chen, Eshwar Chandrasekharan, and Koustuv Saha
    arXiv preprint arXiv:2410.13155, Nov 2024