Soumya Suvra Ghosal

sghosal@umd.edu

I am a second-year Ph.D. student in the CS dept at the University of Maryland, College Park. I am fortunate to be advised by Prof. Dinesh Manocha. Prior to this, I completed my Master's in Computer Science at the University of Wisconsin-Madison, where I was lucky to be advised by Prof. Sharon Li. I am interested in the broad domain of LLM Alignment, and Trustworthy AI.

I am currently looking for full-time or part-time internship positions for Fall 2025. If you have any relevant openings, please feel free to reach out.

Last Updated: 3 May, 2025

Education

University of Maryland, College Park

PhD in Computer Sciences
August 2023 -

University of Wisconsin, Madison

MS in Computer Sciences
September 2021 - May 2023

National Institute of Technology Durgapur, India

Bachelor of Technology (B.Tech)
Electronics and Communications Engineering
August 2016 - May 2020

News

• 08/2023    Joined CS PhD program at University of Maryland College-Park.
• 08/2023    Joined GAMMA lab under supervision of Prof. Dinesh Manocha.
• 09/2023    Paper on "Are Vision Transformers Robust to Spurious Correlations?" accepted by International Journal of Computer Vision (IJCV).
• 10/2023    Our latest survey paper on "Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey" is on arXiv.
• 12/2023    Our latest work on Out-of-Distribution got accepted to AAAI 2024 . Thanks to my amazing collaborators Yiyou Sun and Sharon Li !
• 12/2023    Our survey paper "A Survey on the Possibilities & Impossibilities of AI-generated Text Detection" got accepted to TMLR .
• 05/2024    Joining Adobe as PhD Research Intern for Summer 2024.
• 06/2024    Our recent paper "Transfer Q Star: Principled Decoding for LLM Alignment" on inference-time alignment of large language models is now available on arXiv.
• 09/2024    Our latest work on Vision-Language prompt tuning got accepted to EMNLP 2024.
• 09/2024    Transfer Q-Star got accepted to NeurIPS 2024 .
• 01/2025    Our latest work on improving ICL performance in low resource settings, PromptRefine got accepted to NAACL 2025 .
• 02/2025    Our latest work on inference-time safety against jailbreak attacks in Multi-modal LLMs, Immune got accepted to CVPR 2025 .
• 05/2025    Our latest work on user-specified decoding on multiple reward objectives got accepted to ICML 2025 .
• 05/2025    Joining IBM Research as a Research Scientist Intern at Thomas J. Watson Research Center for Summer 2025.

Publications

Journal Proceedings

A Survey on the Possibilities & Impossibilities of AI-generated Text Detection

Transactions on Machine Learning Research (TMLR)

Soumya Suvra Ghosal, Souradip Chakraborty, Jonas Geiping, Furong Huang, Dinesh Manocha, Amrit Bedi [ Paper ]

Are Vision Transformers Robust to Spurious Correlations?

International Journal of Computer Vision (IJCV)

Soumya Suvra Ghosal, Yixuan Li [ Paper ] [ Code ]

Conference Proceedings

Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment

The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025 (CVPR 2025)

Soumya Suvra Ghosal*, Souradip Chakraborty*, Vaibhav Singh*, Tianrui Guan, Mengdi Wang, Alvaro Velasquez, Ahmad Beirami, Furong Huang, Dinesh Manocha, Amrit Singh Bedi [ Paper ] [ Project Page ]

PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from related Example Banks

Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL 2025) (Main Track)

Soumya Suvra Ghosal, Soumyabrata Pal, Koyel Mukherjee, Dinesh Manocha [ Paper ]

Transfer Q Star: Principled Decoding for LLM Alignment

Neural Information Processing Systems (NeurIPS) 2024

Souradip Chakraborty*, Soumya Suvra Ghosal*, Ming Yin, Dinesh Manocha, Mengdi Wang, Amrit Singh Bedi, Furong Huang (* denotes Equal Contribution) [ Paper ] [ Code ]

IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning

Empirical Methods in Natural Language Processing (EMNLP) 2024 (Main Track)

Soumya Suvra Ghosal, Samyadeep Basu, Soheil Feizi, Dinesh Manocha [ Paper ]

How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?

AAAI Conference on Artificial Intelligence (AAAI) 2024

Soumya Suvra Ghosal*, Yiyou Sun*, Yixuan Li (* denotes Equal Contribution) [ Paper ] [ Code ]

Distributionally Robust Optimization with Probabilistic Group

AAAI Conference on Artificial Intelligence (AAAI) 2023 (Oral)

Soumya Suvra Ghosal, Yixuan Li [ Paper ] [ Code ]

A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions

European Conference on Machine Learning and Principles \& Practice of Knowledge Discovery in Databases (ECML-PKDD) 2022. (Research Track)

Ramya S. Hebbalaguppe*, Soumya Suvra Ghosal, Jatin Prakash, Harshad Khadilkar, Chetan Arora. [ Paper ] [ Code ]

Awards and Fellowships

Services

  • Reviewer for IJCV, ECCV 24, CVPR 24, CVPR 23, ICLR 23, ECCV 22 (Sub-reviewer).
  • Teaching Assistant for Data Programming-1 (CS220), Spring 2022 at UW-Madison.
  • Teaching Assistant for Data Programming-1 (CS220), Fall 2021 at UW-Madison.

JOY GURU !

I am a disciple of Sree Sree Thakur Anukul Chandra . Here are some inspiring quotes of Thakur Anukul Chandra:

  • " You are for the Lord
    Not for others,
    You are for the Lord
    and so for others. "
    -- Sree Sree Thakur Anukulchandra
    •  
  • " Serve as much as you are able,
    But take care you have no desire
    to be served. "
    -- Sree Sree Thakur Anukulchandra
    •  
  • " Do never die
    nor cause death
    but resist death
    to death. "
    -- Sree Sree Thakur Anukulchandra

Here is an English translated version of the Satyanusaran (Pursuit of Truth) book written by Thakur Anukul Chandra.