Sunipa Dev

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 48

Top Topics

Language Modeling

Binary Representation

Technical Report

Top Venues

Publications

Aida Mostafazadeh Davani, Sagar Gubbi, Sunipa Dev, Shachi Dave, Vinodkumar Prabhakaran
GeniL: A Multilingual Dataset on Generalizing Language. CoRR (2024)
Mukul Bhutani, Kevin Robinson, Vinodkumar Prabhakaran, Shachi Dave, Sunipa Dev
SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes. CoRR (2024)
Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan K. Reddy, Sunipa Dev
Beyond the Surface: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation. CoRR (2024)
Tamanna Hossain, Sunipa Dev, Sameer Singh
MisgenderMender: A Community-Informed Approach to Interventions for Misgendering. NAACL-HLT (2024)
Tamanna Hossain, Sunipa Dev, Sameer Singh
MisgenderMender: A Community-Informed Approach to Interventions for Misgendering. CoRR (2024)
Kevin Robinson, Sneha Kudugunta, Romina Stella, Sunipa Dev, Jasmijn Bastings
MiTTenS: A Dataset for Evaluating Misgendering in Translation. CoRR (2024)
Akshita Jha, Vinodkumar Prabhakaran, Remi Denton, Sarah Laszlo, Shachi Dave, Rida Qadri, Chandan K. Reddy, Sunipa Dev
ViSAGe: A Global-Scale Analysis of Visual Stereotypes in Text-to-Image Generation. ACL (1) (2024)
Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
VERB: Visualizing and Interpreting Bias Mitigation Techniques Geometrically for Word Representations. ACM Trans. Interact. Intell. Syst. 14 (1) (2024)
Tamanna Hossain, Sunipa Dev, Sameer Singh
MISGENDERED: Limits of Large Language Models in Understanding Pronouns. CoRR (2023)
Akshita Jha, Aida Mostafazadeh Davani, Chandan K. Reddy, Shachi Dave, Vinodkumar Prabhakaran, Sunipa Dev
SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models. CoRR (2023)
Mark Díaz, Sunipa Dev, Emily Reif, Remi Denton, Vinodkumar Prabhakaran
SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata. CoRR (2023)
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel
PaLM: Scaling Language Modeling with Pathways. J. Mach. Learn. Res. 24 (2023)
Sunipa Dev, Jaya Goyal, Dinesh Tewari, Shachi Dave, Vinodkumar Prabhakaran
Building Socio-culturally Inclusive Stereotype Resources with Community Engagement. CoRR (2023)
Tamanna Hossain, Sunipa Dev, Sameer Singh
MISGENDERED: Limits of Large Language Models in Understanding Pronouns. ACL (1) (2023)
Nikil Roashan Selvam, Sunipa Dev, Daniel Khashabi, Tushar Khot, Kai-Wei Chang
The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks. ACL (2) (2023)
Vinitha Gadiraju, Shaun K. Kane, Sunipa Dev, Alex S. Taylor, Ding Wang, Emily Denton, Robin Brewer
"I wouldn't say offensive but...": Disability-Centered Perspectives on Large Language Models. FAccT (2023)
Rohan Anil, Andrew M. Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, Eric Chu, Jonathan H. Clark, Laurent El Shafey, Yanping Huang, Kathy Meier-Hellstern, Gaurav Mishra, Erica Moreira, Mark Omernick, Kevin Robinson, Sebastian Ruder, Yi Tay, Kefan Xiao, Yuanzhong Xu, Yujing Zhang, Gustavo Hernández Ábrego, Junwhan Ahn, Jacob Austin, Paul Barham, Jan A. Botha, James Bradbury, Siddhartha Brahma, Kevin Brooks, Michele Catasta, Yong Cheng, Colin Cherry, Christopher A. Choquette-Choo, Aakanksha Chowdhery, Clément Crepy, Shachi Dave, Mostafa Dehghani, Sunipa Dev, Jacob Devlin, Mark Díaz, Nan Du, Ethan Dyer, Vladimir Feinberg, Fangxiaoyu Feng, Vlad Fienber, Markus Freitag, Xavier Garcia, Sebastian Gehrmann, Lucas Gonzalez, et al.
PaLM 2 Technical Report. CoRR (2023)
Sunipa Dev, Jaya Goyal, Dinesh Tewari, Shachi Dave, Vinodkumar Prabhakaran
Building Socio-culturally Inclusive Stereotype Resources with Community Engagement. NeurIPS (2023)
Akshita Jha, Aida Mostafazadeh Davani, Chandan K. Reddy, Shachi Dave, Vinodkumar Prabhakaran, Sunipa Dev
SeeGULL: A Stereotype Benchmark with Broad Geo-Cultural Coverage Leveraging Generative Models. ACL (1) (2023)
Vijit Malik, Sunipa Dev, Akihiro Nishi, Nanyun Peng, Kai-Wei Chang
Socially Aware Bias Measurements for Hindi Language Representations. NAACL-HLT (2022)
Di Wu, Wasi Uddin Ahmad, Sunipa Dev, Kai-Wei Chang
Representation Learning for Resource-Constrained Keyphrase Generation. CoRR (2022)
Sunipa Dev, Emily Sheng, Jieyu Zhao, Aubrie Amstutz, Jiao Sun, Yu Hou, Mattie Sanseverino, Jiin Kim, Akihiro Nishi, Nanyun Peng, Kai-Wei Chang
On Measures of Biases and Harms in NLP. AACL/IJCNLP (Findings) (2022)
Di Wu, Wasi Uddin Ahmad, Sunipa Dev, Kai-Wei Chang
Representation Learning for Resource-Constrained Keyphrase Generation. EMNLP (Findings) (2022)
Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran
Cultural Re-contextualization of Fairness Research in Language Technologies in India. CoRR (2022)
Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran
Re-contextualizing Fairness in NLP: The Case of India. AACL/IJCNLP (1) (2022)
Nikil Roashan Selvam, Sunipa Dev, Daniel Khashabi, Tushar Khot, Kai-Wei Chang
The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks. CoRR (2022)
Jingnong Qu, Liunian Harold Li, Jieyu Zhao, Sunipa Dev, Kai-Wei Chang
DisinfoMeme: A Multimodal Dataset for Detecting Meme Intentionally Spreading Out Disinformation. CoRR (2022)
Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran
Re-contextualizing Fairness in NLP: The Case of India. CoRR (2022)
Anaelia Ovalle, Sunipa Dev, Jieyu Zhao, Majid Sarrafzadeh, Kai-Wei Chang
Auditing Algorithmic Fairness in Machine Learning for Health with Severity-Based LOGAN. CoRR (2022)
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel
PaLM: Scaling Language Modeling with Pathways. CoRR (2022)
Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations. CoRR (2021)
Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff M. Phillips, Kai-Wei Chang
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies. CoRR (2021)
Vijit Malik, Sunipa Dev, Akihiro Nishi, Nanyun Peng, Kai-Wei Chang
Socially Aware Bias Measurements for Hindi Language Representations. CoRR (2021)
Sunipa Dev, Mehrnoosh Sameki, Jwala Dhamala, Cho-Jui Hsieh
Measures and Best Practices for Responsible AI. KDD (2021)
Sunipa Dev, Safia Hassan, Jeff M. Phillips
Closed form word embedding alignment. Knowl. Inf. Syst. 63 (3) (2021)
Sunipa Dev, Emily Sheng, Jieyu Zhao, Jiao Sun, Yu Hou, Mattie Sanseverino, Jiin Kim, Nanyun Peng, Kai-Wei Chang
What do Bias Measures Measure? CoRR (2021)
Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings. EMNLP (1) (2021)
Archit Rathore, Sunipa Dev, Vivek Srikumar, Jeff M. Phillips, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Bei Wang
An Interactive Visual Demo of Bias Mitigation Techniques for Word Representations From a Geometric Perspective. NeurIPS (Competition and Demos) (2021)
Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff M. Phillips, Kai-Wei Chang
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies. EMNLP (1) (2021)
Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Bei Wang
A Visual Tour of Bias Mitigation Techniques for Word Representations. KDD (2021)
Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings. CoRR (2020)
Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar
On Measuring and Mitigating Biased Inferences of Word Embeddings. AAAI (2020)
Sunipa Dev
The Geometry of Distributed Representations for Better Alignment, Attenuated Bias, and Improved Interpretability. CoRR (2020)
Sunipa Dev, Safia Hassan, Jeff M. Phillips
Closed Form Word Embedding Alignment. ICDM (2019)
Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar
On Measuring and Mitigating Biased Inferences of Word Embeddings. CoRR (2019)
Sunipa Dev, Jeff M. Phillips
Attenuating Bias in Word Vectors. CoRR (2019)
Sunipa Dev, Jeff M. Phillips
Attenuating Bias in Word vectors. AISTATS (2019)
Sunipa Dev, Safia Hassan, Jeff M. Phillips
Absolute Orientation for Word Embedding Alignment. CoRR (2018)