Reshmi Ghosh

Senior Applied Scientist

出版物

表示方法:

- 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
  
  EMNLP 2024, BlackBox NLP workshop | November 2024
  
  Publication
- 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, Reshmi Ghosh
  
  ArXiv | June 2024, 巻abs/2406.12824
  
  DOI Publication Publication
- Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
  
  Edoardo Debenedetti, Javier Rando, Daniel Paleka, Fineas Silaghi, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Ahmed Salem, Rui Wen, Giovanni Cherubin, Santiago Zanella-Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramer, Sahar Abdelnabi, Lea Schönherr
  
  NeurIPS 2024 | June 2024
  
  Preprint プロジェクト
- Position: Towards Bidirectional Human-AI Alignment
  
  Hua Shen, Tiffany Knearem, Reshmi Ghosh, Kenan Alkiek, Kundan Krishna, Yachuan Liu, Ziqiao Ma, S. 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
  
  NeurIPS 2025 | June 2024
  
  Publication
- On Surgical Fine-tuning for Language Encoder
  
  Abhilasha Lodha, Gayatri Belapurkar, Saloni Chalkapurkar, Yuanming Tao, Reshmi Ghosh, Samyadeep Basu, Dmitry Petrov, Soundararajan Srinivasan
  
  EMNLP 2023 | October 2023
  
  Publication
- 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
  
  2022 Neural Information Processing Systems | December 2022
  
  Publication

- Position: Towards Bidirectional Human-AI Alignment
  
  Hua Shen, Tiffany Knearem, Reshmi Ghosh, Kenan Alkiek, Kundan Krishna, Yachuan Liu, Ziqiao Ma, S. 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
  
  NeurIPS 2025 | June 2024
  
  Publication
- 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
  
  EMNLP 2024, BlackBox NLP workshop | November 2024
  
  Publication
- 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, Reshmi Ghosh
  
  ArXiv | June 2024, 巻abs/2406.12824
  
  DOI Publication Publication
- Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
  
  Edoardo Debenedetti, Javier Rando, Daniel Paleka, Fineas Silaghi, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Ahmed Salem, Rui Wen, Giovanni Cherubin, Santiago Zanella-Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramer, Sahar Abdelnabi, Lea Schönherr
  
  NeurIPS 2024 | June 2024
  
  Preprint プロジェクト
- On Surgical Fine-tuning for Language Encoder
  
  Abhilasha Lodha, Gayatri Belapurkar, Saloni Chalkapurkar, Yuanming Tao, Reshmi Ghosh, Samyadeep Basu, Dmitry Petrov, Soundararajan Srinivasan
  
  EMNLP 2023 | October 2023
  
  Publication
- 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
  
  EMNLP 2024, BlackBox NLP workshop | November 2024
  
  Publication
- 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, Reshmi Ghosh
  
  ArXiv | June 2024, 巻abs/2406.12824
  
  DOI Publication Publication
- On Surgical Fine-tuning for Language Encoder
  
  Abhilasha Lodha, Gayatri Belapurkar, Saloni Chalkapurkar, Yuanming Tao, Reshmi Ghosh, Samyadeep Basu, Dmitry Petrov, Soundararajan Srinivasan
  
  EMNLP 2023 | October 2023
  
  Publication
- 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
  
  2022 Neural Information Processing Systems | December 2022
  
  Publication
- 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
  
  EMNLP 2024, BlackBox NLP workshop | November 2024
  
  Publication
- 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, Reshmi Ghosh
  
  ArXiv | June 2024, 巻abs/2406.12824
  
  DOI Publication Publication
- 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, Reshmi Ghosh
  
  ArXiv | June 2024, 巻abs/2406.12824
  
  DOI Publication Publication
- On Surgical Fine-tuning for Language Encoder
  
  Abhilasha Lodha, Gayatri Belapurkar, Saloni Chalkapurkar, Yuanming Tao, Reshmi Ghosh, Samyadeep Basu, Dmitry Petrov, Soundararajan Srinivasan
  
  EMNLP 2023 | October 2023
  
  Publication
- Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
  
  Edoardo Debenedetti, Javier Rando, Daniel Paleka, Fineas Silaghi, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Ahmed Salem, Rui Wen, Giovanni Cherubin, Santiago Zanella-Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramer, Sahar Abdelnabi, Lea Schönherr
  
  NeurIPS 2024 | June 2024
  
  Preprint プロジェクト

- 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
  
  EMNLP 2024, BlackBox NLP workshop | November 2024
  
  Publication
- Position: Towards Bidirectional Human-AI Alignment
  
  Hua Shen, Tiffany Knearem, Reshmi Ghosh, Kenan Alkiek, Kundan Krishna, Yachuan Liu, Ziqiao Ma, S. 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
  
  NeurIPS 2025 | June 2024
  
  Publication
- Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
  
  Edoardo Debenedetti, Javier Rando, Daniel Paleka, Fineas Silaghi, Dragos Albastroiu, Niv Cohen, Yuval Lemberg, Reshmi Ghosh, Ahmed Salem, Rui Wen, Giovanni Cherubin, Santiago Zanella-Béguelin, Robin Schmid, Victor Klemm, Takahiro Miki, Chenhao Li, Stefan Kraft, Mario Fritz, Florian Tramer, Sahar Abdelnabi, Lea Schönherr
  
  NeurIPS 2024 | June 2024
  
  Preprint プロジェクト
- On Surgical Fine-tuning for Language Encoder
  
  Abhilasha Lodha, Gayatri Belapurkar, Saloni Chalkapurkar, Yuanming Tao, Reshmi Ghosh, Samyadeep Basu, Dmitry Petrov, Soundararajan Srinivasan
  
  EMNLP 2023 | October 2023
  
  Publication
- 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
  
  2022 Neural Information Processing Systems | December 2022
  
  Publication
- 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, Reshmi Ghosh
  
  ArXiv | June 2024, 巻abs/2406.12824
  
  DOI Publication Publication

Reshmi Ghosh

出版物

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

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

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

Position: Towards Bidirectional Human-AI Alignment

On Surgical Fine-tuning for Language Encoder

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

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

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

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

On Surgical Fine-tuning for Language Encoder

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

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

On Surgical Fine-tuning for Language Encoder

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

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

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

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

On Surgical Fine-tuning for Language Encoder

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

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

Position: Towards Bidirectional Human-AI Alignment

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

On Surgical Fine-tuning for Language Encoder

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

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

お問い合わせ Reshmi Ghosh

Microsoft Research Lab – New England