Mankeerat Sidhu

I am a graduating senior student in Computer Engineering at UIUC advised by Prof. Heng Ji. Previously, I have also worked with Prof. Timothy McPhillips from the National Center of Supercomputing Applications (NCSA), working on a Retrieval augmented Cross Document Question Answering AI Assisted Scientific Report Generation System. I have also worked alongside Prof. ChengXiang Zhai and Revanth Reddy for the Amazon Alexa Socialbot Grand Challenge 5. I have also had the pleasure of working with the best mentors Vicki Zeng, Jeonghwan Kim and Ansel Blume throughout my undergraduate career. Previously, I was also involved in Audio Signal Processing with Prof. Andrew Singer.

My research currently mainly focusses on long document claims/argument detection, multimodal agentic systems, mechanistic interpretability and Jailbreaking/safeguarding of LLM's and developing multimodal large language models (MLLMs) that can process both the visual and textual modalities.

Email: mssidhu2@illinois.edu 💌 /  Google Scholar 👩🏻‍🎓  /  Resume (Oct 2024) 📝  / 

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Research Projects

(* indicates authors with equal contributions.)

Search and Detect: Training-Free Long Tail Object Detection via Web-Image Retrieval
Mankeerat Sidhu, Hetarth Chopra, Ansel Blume, Jeonghwan Kim, Revanth Gangi Reddy, Heng Ji
The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025
MIRACLE: An Online, Explainable Multimodal Interactive Concept Learning System
Ansel Blume, Khanh Duy Nguyen, Zhenhailong Wang, Yangyi Chen, Michal Shlapentokh-Rothman, Xiaomeng Jin, Jeonghwan Kim, Zhen Zhu, Jiateng Liu, Kuan-Hao Huang, Mankeerat Sidhu, Xuanming Zhang, Vivian Liu, Raunak Sinha, Te-Lin Wu, Abhay Zala, Elias Stengel-Eskin, Da Yin, Yao Xiao, Utkarsh Mall, Zhou Yu, Kai-Wei Chang, Camille Cobb, Karrie Karahalios, Lydia Chilton, Mohit Bansal, Nanyun Peng, Carl Vondrick, Derek Hoiem, Heng Ji
Proceedings of the 32nd ACM International Conference on Multimedia, 2024
Scientific Opinion Summarization: Meta-review Generation with Checklist-guided Iterative Introspection
Qi Zeng*, Mankeerat Sidhu*, Ansel Blume, Hou Pong Chan, Lu Wang, Heng Ji
AI4Research Workshop @ IJCAI, 2023
C-PMI: Conditional pointwise mutual information for turn-level dialogue evaluation
Liliang Ren*, Mankeerat Sidhu*, Qi Zeng, Revanth Gangi Reddy, Heng Ji, ChengXiang Zhai
Proceedings of the Third DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering @ ACL 2023, 2023
CharmBana: Progressive Responses with Real-Time Internet Search for Knowledge-Powered Conversations
Revanth Gangi Reddy, Sharath Chandra, Hao Bai, Wentao Yao, Mankeerat Sidhu, Karan Aggarwal, Prathamesh Sonawane, ChengXiang Zhai
Proceedings of the 17th ACM International Conference on Web Search and Data, 2024
Mechatronic acoustic research system for generating real large-scale dynamic datasets
Austin Lu, Ethaniel Moore, Arya Nallanthighall,Mankeerat Sidhu, Kanad Sarkar, Manan Mittal, Ryan M Corey, Paris Smaragdis, Andrew C Singer
The Journal of the Acoustical Society of America, 2022
A Novel Approach to Make Listening a More "Real" Experience Through Audio Signal Processing and Low-Level App Development
Mankeerat Sidhu
University of Illinois Undergraduate Research Symposium
Education Experience
University of Illinois Urbana Champaign
Bachelor of Science in Computer Engineering
Aug 2021 - Current


Working Experience
Applied Research Associates
Generative AI Research Intern
May. 2024 - Sep. 2024

National Center of Supercomputing Applications
SPIN Research Intern
May. 2024 - Dec. 2024


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