Amir Saeidi
I am a PhD student in CS at Arizona State University, advised by Chitta Baral in the Cognition and Intelligence Lab. My current research interests are : Exploring and enhancing the robustness of large language and vision models using reinforcement learning methods with human feedback.
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GitHub
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News
- September, 2024 - Nominated as a reviewer for the ICLR 2025 conference.
- July, 2024 - New preprint out. UnSeenTimeQA is publicly available in the GitHub repository.
- June, 2024 - New preprint out.
- May, 2024 - New preprint out. More details on our website.
- April, 2024 - New preprint out.
- April, 2024 - Received the SCAI Conference Award.
- April, 2024 - 1 paper accepted to CVPR 2024 workshop.
- February, 2024 - Received the GPSA Jumpstart Research Grant.
- October, 2024 - Received the Research Fellow position at Mayo Clinic.
- January, 2023 - Started my PhD.
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Research
Representative papers are highlighted.
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Triple Preference Optimization: Achieving Better Alignment with Less Data in a Single Step Optimization
Amir Saeidi, Shivanshu Verma*, Aswin RRV*, Chitta Baral
Under Review
Paper | Project | Code
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UnSeenTimeQA: Time-Sensitive Question-Answering Beyond LLMs' Memorization
Md Nayem Uddin, Amir Saeidi, Divij Handa, Agastya Seth, Tran Cao Son, Eduardo Blanco, Steven R. Corman, Chitta Baral
Under Review
Paper | Code
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Evaluating Multimodal Large Language Models Across Distribution Shifts and Augmentations
Aayush Atul Verma*, Amir Saeidi*, Shamanthak Hegde*, Ajay Therala*, Fenil Denish Bardoliya*, Nagaraju Machavarapu*, Shri Ajay Kumar Ravindhiran*, Srija Malyala*, Agneet Chatterjee*, Yezhou Yang, Chitta Baral
CVPR workshop
Paper
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Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation
Neeraj Varshney, Satyam Raj, Venkatesh Mishra, Agneet Chatterjee, Ritika Sarkar, Amir Saeidi, Chitta Baral
arXiv
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Insights into Alignment: Evaluating DPO and its Variants Across Multiple Tasks
Amir Saeidi, Sivanshu Verma, Chitta Baral
Under Review
Paper
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This website's source code is borrowed from Jon Barron. Much thanks!
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