Reconstruction of Long-Term Historical Demand Data. - Reshmi Ghosh; Michael Craig; H. Scott Matthews; Constantine Samaras; Laure Berti-Équille (CoRR, 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)

Data-driven stochastic reliability assessment of the US electricity grid under large penetration of variable renewable energy resources. - Reshmi Ghosh (2022)

On Surgical Fine-tuning for Language Encoders. - Abhilasha Lodha; Gayatri Belapurkar; Saloni Chalkapurkar; Yuanming Tao; Reshmi Ghosh; Samyadeep Basu; Dmitrii Petrov; Soundararajan Srinivasan (EMNLP (Findings), 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)

Leveraging Language Models to Detect Greenwashing. - Avalon Vinella; Margaret Capetz; Rebecca Pattichis; Christina Chance; Reshmi Ghosh (CoRR, 2023)

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 (CIKM, 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 002; Ahmed Salem 001; Giovanni Cherubin; Santiago Zanella-Béguelin; et al. (NeurIPS, 2024)

Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions. - Hua Shen 005; Tiffany Knearem; Reshmi Ghosh; Kenan Alkiek; Kundan Krishna; Yachuan Liu; Ziqiao Ma 001; Savvas Petridis; Yi-Hao Peng; Li Qiwei; Sushrita Rakshit; Chenglei Si; et al. (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 001; Shreyas Chaudhari; Ehsan Aghazadeh (CoRR, 2024)

ValueCompass: A Framework of Fundamental Values for Human-AI Alignment. - Hua Shen 005; Tiffany Knearem; Reshmi Ghosh; Yu-Ju Yang; Tanushree Mitra; Yun Huang (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 001; Jack W. Stokes (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 001; Shreyas Chaudhari; Ehsan Aghazadeh (CoRR, 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)

Bidirectional Human-AI Alignment: Emerging Challenges and Opportunities. - Hua Shen 005; Tiffany Knearem; Reshmi Ghosh; Michael Xieyang Liu; Andrés Monroy-Hernández; Tongshuang Wu; Diyi Yang; Yun Huang; Tanushree Mitra; Yang Li 058; Marti Hearst (CHI Extended Abstracts, 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 001; Ali Nasaeh; Sriram Balasubramanian; Soundararajan Srinivasan (CoRR, 2025)