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2020 – today
- 2024
[j3]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): 3:1-3:34 (2024)- [c19]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: 12333-12347 - [c18]Tamanna Hossain, Sunipa Dev, Sameer Singh:
MisgenderMender: A Community-Informed Approach to Interventions for Misgendering. NAACL-HLT 2024: 7538-7558 - [i26]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 abs/2401.06310 (2024) - [i25]Kevin Robinson, Sneha Kudugunta, Romina Stella, Sunipa Dev, Jasmijn Bastings:
MiTTenS: A Dataset for Evaluating Misgendering in Translation. CoRR abs/2401.06935 (2024) - [i24]Mukul Bhutani, Kevin Robinson, Vinodkumar Prabhakaran, Shachi Dave, Sunipa Dev:
SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes. CoRR abs/2403.05696 (2024) - [i23]Aida Mostafazadeh Davani, Sagar Gubbi, Sunipa Dev, Shachi Dave, Vinodkumar Prabhakaran:
GeniL: A Multilingual Dataset on Generalizing Language. CoRR abs/2404.05866 (2024) - [i22]Tamanna Hossain, Sunipa Dev, Sameer Singh:
MisgenderMender: A Community-Informed Approach to Interventions for Misgendering. CoRR abs/2404.14695 (2024) - 2023
- [j2]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: 240:1-240:113 (2023) - [c17]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: 1373-1386 - [c16]Tamanna Hossain, Sunipa Dev, Sameer Singh:
MISGENDERED: Limits of Large Language Models in Understanding Pronouns. ACL (1) 2023: 5352-5367 - [c15]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: 9851-9870 - [c14]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: 205-216 - [c13]Sunipa Dev, Jaya Goyal, Dinesh Tewari, Shachi Dave, Vinodkumar Prabhakaran:
Building Socio-culturally Inclusive Stereotype Resources with Community Engagement. NeurIPS 2023 - [i21]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 abs/2305.10403 (2023) - [i20]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 abs/2305.11840 (2023) - [i19]Tamanna Hossain, Sunipa Dev, Sameer Singh:
MISGENDERED: Limits of Large Language Models in Understanding Pronouns. CoRR abs/2306.03950 (2023) - [i18]Sunipa Dev, Jaya Goyal, Dinesh Tewari, Shachi Dave, Vinodkumar Prabhakaran:
Building Socio-culturally Inclusive Stereotype Resources with Community Engagement. CoRR abs/2307.10514 (2023) - [i17]Mark Díaz, Sunipa Dev, Emily Reif, Remi Denton, Vinodkumar Prabhakaran:
SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata. CoRR abs/2311.17259 (2023) - 2022
- [c12]Di Wu, Wasi Uddin Ahmad, Sunipa Dev, Kai-Wei Chang:
Representation Learning for Resource-Constrained Keyphrase Generation. EMNLP (Findings) 2022: 700-716 - [c11]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: 246-267 - [c10]Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran:
Re-contextualizing Fairness in NLP: The Case of India. AACL/IJCNLP (1) 2022: 727-740 - [c9]Vijit Malik, Sunipa Dev, Akihiro Nishi, Nanyun Peng, Kai-Wei Chang:
Socially Aware Bias Measurements for Hindi Language Representations. NAACL-HLT 2022: 1041-1052 - [i16]Di Wu, Wasi Uddin Ahmad, Sunipa Dev, Kai-Wei Chang:
Representation Learning for Resource-Constrained Keyphrase Generation. CoRR abs/2203.08118 (2022) - [i15]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 abs/2204.02311 (2022) - [i14]Jingnong Qu, Liunian Harold Li, Jieyu Zhao, Sunipa Dev, Kai-Wei Chang:
DisinfoMeme: A Multimodal Dataset for Detecting Meme Intentionally Spreading Out Disinformation. CoRR abs/2205.12617 (2022) - [i13]Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran:
Re-contextualizing Fairness in NLP: The Case of India. CoRR abs/2209.12226 (2022) - [i12]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 abs/2210.10040 (2022) - [i11]Anaelia Ovalle, Sunipa Dev, Jieyu Zhao, Majid Sarrafzadeh, Kai-Wei Chang:
Auditing Algorithmic Fairness in Machine Learning for Health with Severity-Based LOGAN. CoRR abs/2211.08742 (2022) - [i10]Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran:
Cultural Re-contextualization of Fairness Research in Language Technologies in India. CoRR abs/2211.11206 (2022) - 2021
- [j1]Sunipa Dev, Safia Hassan, Jeff M. Phillips:
Closed form word embedding alignment. Knowl. Inf. Syst. 63(3): 565-588 (2021) - [c8]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: 1968-1994 - [c7]Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar:
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings. EMNLP (1) 2021: 5034-5050 - [c6]Archit Rathore, Sunipa Dev, Jeff M. Phillips, Vivek Srikumar, Bei Wang:
A Visual Tour of Bias Mitigation Techniques for Word Representations. KDD 2021: 4064-4065 - [c5]Sunipa Dev, Mehrnoosh Sameki, Jwala Dhamala, Cho-Jui Hsieh:
Measures and Best Practices for Responsible AI. KDD 2021: 4118 - [c4]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: 330-335 - [i9]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 abs/2104.02797 (2021) - [i8]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 abs/2108.03362 (2021) - [i7]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 abs/2108.12084 (2021) - [i6]Vijit Malik, Sunipa Dev, Akihiro Nishi, Nanyun Peng, Kai-Wei Chang:
Socially Aware Bias Measurements for Hindi Language Representations. CoRR abs/2110.07871 (2021) - 2020
- [b1]Sunipa Dev:
The Geometry of Distributed Representations for Better Alignment, Attenuated Bias, and Improved Interpretability. University of Utah, USA, 2020 - [c3]Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar:
On Measuring and Mitigating Biased Inferences of Word Embeddings. AAAI 2020: 7659-7666 - [i5]Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar:
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings. CoRR abs/2007.00049 (2020) - [i4]Sunipa Dev:
The Geometry of Distributed Representations for Better Alignment, Attenuated Bias, and Improved Interpretability. CoRR abs/2011.12465 (2020)
2010 – 2019
- 2019
- [c2]Sunipa Dev, Jeff M. Phillips:
Attenuating Bias in Word vectors. AISTATS 2019: 879-887 - [c1]Sunipa Dev, Safia Hassan, Jeff M. Phillips:
Closed Form Word Embedding Alignment. ICDM 2019: 130-139 - [i3]Sunipa Dev, Jeff M. Phillips:
Attenuating Bias in Word Vectors. CoRR abs/1901.07656 (2019) - [i2]Sunipa Dev, Tao Li, Jeff M. Phillips, Vivek Srikumar:
On Measuring and Mitigating Biased Inferences of Word Embeddings. CoRR abs/1908.09369 (2019) - 2018
- [i1]Sunipa Dev, Safia Hassan, Jeff M. Phillips:
Absolute Orientation for Word Embedding Alignment. CoRR abs/1806.01330 (2018)
Coauthor Index
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