Reshmi Ghosh

According to our database, Reshmi Ghosh authored at least 18 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries.

Hitesh Wadhwa, Rahul Seetharaman, Somyaa Aggarwal, Reshmi Ghosh, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazedeh

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based Optimizers.

Andrew Zhao, Reshmi Ghosh, Vitor Carvalho, Emily Lawton, Keegan Hines, Gao Huang, Jack W. Stokes

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Hop, Skip, and Overthink: Diagnosing Why Reasoning Models Fumble during Multi-Hop Analysis.

Anushka Yadav, Isha Nalawade, Srujana Pillarichety, Yashwanth Babu, Reshmi Ghosh, Samyadeep Basu, Wenlong Zhao, Ali Nasaeh, Sriram Balasubramanian, Soundararajan Srinivasan

CoRR, August, 2025

Bidirectional Human-AI Alignment: Emerging Challenges and Opportunities.

Hua Shen, Tiffany Knearem, Reshmi Ghosh, Michael Xieyang Liu, Andrés Monroy-Hernández, Tongshuang Wu, Diyi Yang, Yun Huang, Tanushree Mitra, Yang Li, Marti A. Hearst

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

2024

SAGEval: The frontiers of Satisfactory Agent based NLG Evaluation for reference-free open-ended text.

Reshmi Ghosh, Tianyi Yao, Lizzy Chen, Sadid Hasan, Tianwei Chen, Dario Bernal, Huitian Jiao, H. M. Sajjad Hossain

CoRR, 2024

Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis.

Reshmi Ghosh, Rahul Seetharaman, Hitesh Wadhwa, Somyaa Aggarwal, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh

CoRR, 2024

VLMGuard: Defending VLMs against Malicious Prompts via Unlabeled Data.

Xuefeng Du, Reshmi Ghosh, Robert Sim, Ahmed Salem, Vitor Carvalho, Emily Lawton, Yixuan Li, Jack W. Stokes

CoRR, 2024

ValueCompass: A Framework of Fundamental Values for Human-AI Alignment.

Hua Shen, Tiffany Knearem, Reshmi Ghosh, Yu-Ju Yang, Tanushree Mitra, Yun Huang

CoRR, 2024

From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries.

Hitesh Wadhwa, Rahul Seetharaman, Somyaa Aggarwal, Reshmi Ghosh, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh

CoRR, 2024

Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions.

Hua Shen, Tiffany Knearem, Reshmi Ghosh, Kenan Alkiek, Kundan Krishna, Yachuan Liu, Ziqiao Ma, Savvas Petridis, Yi-Hao Peng, Li Qiwei, Sushrita Rakshit, Chenglei Si, Yutong Xie, Jeffrey P. Bigham, Frank Bentley, Joyce Chai, Zachary C. Lipton, Qiaozhu Mei, Rada Mihalcea, Michael Terry, Diyi Yang, Meredith Ringel Morris, Paul Resnick, David Jurgens

CoRR, 2024

Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition.

Edoardo Debenedetti, Javier Rando, Daniel Paleka, Silaghi Fineas Florin, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Rui Wen, Ahmed Salem, Giovanni Cherubin, Santiago Zanella-Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramèr, Sahar Abdelnabi, Lea Schönherr

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Frontiers of Large Language Model-Based Agentic Systems - Construction, Efficacy and Safety.

Jia He, Reshmi Ghosh, Kabir Walia, Jieqiu Chen, Tushar Dhadiwal, April Hazel, Chandra Inguva

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Leveraging Language Models to Detect Greenwashing.

Avalon Vinella, Margaret Capetz, Rebecca Pattichis, Christina Chance, Reshmi Ghosh

CoRR, 2023

Topic Segmentation of Semi-Structured and Unstructured Conversational Datasets using Language Models.

Reshmi Ghosh, Harjeet Singh Kajal, Sharanya Kamath, Dhuri Shrivastava, Samyadeep Basu, Hansi Zeng, Soundararajan Srinivasan

CoRR, 2023

On Surgical Fine-tuning for Language Encoders.

Abhilasha Lodha, Gayatri Belapurkar, Saloni Chalkapurkar, Yuanming Tao, Reshmi Ghosh, Samyadeep Basu, Dmitrii Petrov, Soundararajan Srinivasan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Data-driven stochastic reliability assessment of the US electricity grid under large penetration of variable renewable energy resources.

Reshmi Ghosh

PhD thesis, 2022

Topic Segmentation in the Wild: Towards Segmentation of Semi-structured & Unstructured Chats.

Reshmi Ghosh, Harjeet Singh Kajal, Sharanya Kamath, Dhuri Shrivastava, Samyadeep Basu, Soundararajan Srinivasan

CoRR, 2022

Reconstruction of Long-Term Historical Demand Data.

Reshmi Ghosh, Michael Craig, H. Scott Matthews, Constantine Samaras, Laure Berti-Équille

CoRR, 2022