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2020 – today
- 2024
[c2]Jia He, Reshmi Ghosh, Kabir Walia, Jieqiu Chen, Tushar Dhadiwal, April Hazel, Chandra Inguva:
Frontiers of Large Language Model-Based Agentic Systems - Construction, Efficacy and Safety. CIKM 2024: 5526-5529- [i11]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:
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition. CoRR abs/2406.07954 (2024) - [i10]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:
Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions. CoRR abs/2406.09264 (2024) - [i9]Hitesh Wadhwa, Rahul Seetharaman, Somyaa Aggarwal, Reshmi Ghosh, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh:
From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries. CoRR abs/2406.12824 (2024) - [i8]Hua Shen, Tiffany Knearem, Reshmi Ghosh, Yu-Ju Yang, Tanushree Mitra, Yun Huang:
ValueCompass: A Framework of Fundamental Values for Human-AI Alignment. CoRR abs/2409.09586 (2024) - [i7]Xuefeng Du, Reshmi Ghosh, Robert Sim, Ahmed Salem, Vitor Carvalho, Emily Lawton, Yixuan Li, Jack W. Stokes:
VLMGuard: Defending VLMs against Malicious Prompts via Unlabeled Data. CoRR abs/2410.00296 (2024) - [i6]Reshmi Ghosh, Rahul Seetharaman, Hitesh Wadhwa, Somyaa Aggarwal, Samyadeep Basu, Soundararajan Srinivasan, Wenlong Zhao, Shreyas Chaudhari, Ehsan Aghazadeh:
Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis. CoRR abs/2410.00857 (2024) - 2023
- [c1]Abhilasha Lodha, Gayatri Belapurkar, Saloni Chalkapurkar, Yuanming Tao, Reshmi Ghosh, Samyadeep Basu, Dmitrii Petrov, Soundararajan Srinivasan:
On Surgical Fine-tuning for Language Encoders. EMNLP (Findings) 2023: 3105-3113 - [i5]Abhilasha Lodha, Gayatri Belapurkar, Saloni Chalkapurkar, Yuanming Tao, Reshmi Ghosh, Samyadeep Basu, Dmitrii Petrov, Soundararajan Srinivasan:
On Surgical Fine-tuning for Language Encoders. CoRR abs/2310.17041 (2023) - [i4]Reshmi Ghosh, Harjeet Singh Kajal, Sharanya Kamath, Dhuri Shrivastava, Samyadeep Basu, Hansi Zeng, Soundararajan Srinivasan:
Topic Segmentation of Semi-Structured and Unstructured Conversational Datasets using Language Models. CoRR abs/2310.17120 (2023) - [i3]Avalon Vinella, Margaret Capetz, Rebecca Pattichis, Christina Chance, Reshmi Ghosh:
Leveraging Language Models to Detect Greenwashing. CoRR abs/2311.01469 (2023) - 2022
- [b1]Reshmi Ghosh:
Data-driven stochastic reliability assessment of the US electricity grid under large penetration of variable renewable energy resources. Carnegie Mellon University, USA, 2022 - [i2]Reshmi Ghosh, Michael Craig, H. Scott Matthews, Constantine Samaras, Laure Berti-Équille:
Reconstruction of Long-Term Historical Demand Data. CoRR abs/2209.04693 (2022) - [i1]Reshmi Ghosh, Harjeet Singh Kajal, Sharanya Kamath, Dhuri Shrivastava, Samyadeep Basu, Soundararajan Srinivasan:
Topic Segmentation in the Wild: Towards Segmentation of Semi-structured & Unstructured Chats. CoRR abs/2211.14954 (2022)
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last updated on 2024-11-15 19:35 CET by the dblp team
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