Hi! I am a Ph.D. student in Computer Science at Texas A&M University, under the guidance of Dr. Shuiwang Ji. Previously, I earned my M.S. in Computer Science at the same institution, advised by Dr. Shu Kong and Dr. James Caverlee. I completed my undergraduate degree in Computer Science and Engineering at the Vellore Institute of Technology, Chennai. Currently, my research interests include evaluating and improving the planning and reasoning capabilities of Large Language Models (LLMs) and Large Multimodal Models (LMMs). During my M.S. thesis, I focused on identifying and mitigating biases in Vision-Language Models (VLMs) to improve their robustness and fairness, especially for use in multimodal chatbots and diffusion models.
🔥 News
- 2024.06: 🎉🎉 I have begun my Ph.D. at Texas A&M under the supervision of Dr. Shuiwang Ji.
- 2024.02: 🎉🎉 Our paper, “The Neglected Tails of Vision-Language Models” has been accepted at CVPR 2024!
- 2023.12: 🎉🎉 I will be presenting our paper, “Prompting Scientific Names for Zero-Shot Species Recognition” at EMNLP 2023.
- 2022.02: 🎉🎉 I was awarded the Texas A&M Computer Science departmental scholarship.
📝 Publications
The Neglected Tails of Vision-Language Models.
Shubham Parashar, Zhiqiu Lin, Tian Liu, Xianjue Dong, Yanan Li, Deva Ramanan, James Caverlee, Shu Kong
- Our study is the first to reveal bias in popular VLMs like CLIP due to long-tailed training data.
- To mitigate the bias, we propose a novel prompting method and retrieval augmented strategy.
- Both our methods achieve a new SOTA and our retrieval augmented method is 100x cheaper on compute resources compared to the previous retrieval augmented strategies.
Prompting Scientific Names for Zero-Shot Species Recognition
Shubham Parashar, Zhiqiu Lin, Yanan Li, Shu Kong
- We propose an embarassingly simple prompting method that boosts the zero-shot accuracy of VLMs on 4 fine-grained species recognition benchmarks by 2-5x.
- Facial identification using Haar Cascading with BRISK, Dhruv Dixit, Shubham Parashar, Aashay Gondalia, Animesh Sengupta, M Sivagami, ic-ETITE 2020
- IoT-based healthcare monitoring system for war soldiers using machine learning, Aashay Gondalia, Dhruv Dixit, Shubham Parashar, Vijayanand Raghava, Animesh Sengupta, Vergin Raja Sarobin, IcROSMA 2018
📖 Education
- 2024.06 - Present, Ph.D. in Computer Science, Texas A&M University, College Station, Texas
- 2022.08 - 2024.05, M.S. in Computer Science, Texas A&M University, College Station, Texas
- 2015.07 - 2019.05, Undergraduate, Vellore Institute of Technology University, Chennai, India