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ORCIDNazneen Fatema Rajani
Nazneen Rajani
Person information
- affiliation: Salesforce Research, Palo Alto, CA, USA
- affiliation (PhD): University of Texas at Austin, Department of Computer Science, TX, USA
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2020 – today
- 2024
[i38]Weixin Liang, Nazneen Rajani, Xinyu Yang, Ezinwanne Ozoani, Eric Wu, Yiqun Chen, Daniel Scott Smith, James Zou:
What's documented in AI? Systematic Analysis of 32K AI Model Cards. CoRR abs/2402.05160 (2024)- 2023
- [c35]Prafulla Kumar Choubey, Alexander R. Fabbri, Jesse Vig, Chien-Sheng Wu, Wenhao Liu, Nazneen Rajani:
CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization. ACL (Findings) 2023: 10755-10773 - [c34]Hiroaki Hayashi, Wojciech Kryscinski, Bryan McCann, Nazneen Rajani, Caiming Xiong:
What's New? Summarizing Contributions in Scientific Literature. EACL 2023: 1019-1031 - [c33]Krishnaram Kenthapadi
, Himabindu Lakkaraju, Nazneen Rajani:
Generative AI meets Responsible AI: Practical Challenges and Opportunities. KDD 2023: 5805-5806 - [i37]Sarah Shoker, Andrew Reddie, Sarah Barrington, Ruby Booth, Miles Brundage, Husanjot Chahal, Michael Depp, Bill Drexel, Ritwik Gupta, Marina Favaro, Jake Hecla, Alan Hickey, Margarita Konaev, Kirthi Kumar, Nathan Lambert, Andrew Lohn, Cullen O'Keefe, Nazneen Rajani, Michael Sellitto, Robert Trager, Leah Walker, Alexa Wehsener, Jessica Young:
Confidence-Building Measures for Artificial Intelligence: Workshop Proceedings. CoRR abs/2308.00862 (2023) - [i36]Lewis Tunstall, Edward Beeching, Nathan Lambert, Nazneen Rajani, Kashif Rasul, Younes Belkada, Shengyi Huang, Leandro von Werra, Clémentine Fourrier, Nathan Habib, Nathan Sarrazin, Omar Sanseviero, Alexander M. Rush, Thomas Wolf:
Zephyr: Direct Distillation of LM Alignment. CoRR abs/2310.16944 (2023) - 2022
- [c32]Leandro von Werra, Lewis Tunstall, Abhishek Thakur, Sasha Luccioni, Tristan Thrush, Aleksandra Piktus, Felix Marty, Nazneen Rajani, Victor Mustar, Helen Ngo:
Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements. EMNLP (Demos) 2022: 128-136 - [c31]Nazneen Rajani, Weixin Liang, Lingjiao Chen, Margaret Mitchell, James Zou:
SEAL: Interactive Tool for Systematic Error Analysis and Labeling. EMNLP (Demos) 2022: 359-370 - [c30]Tanya Goyal, Nazneen Rajani, Wenhao Liu, Wojciech Kryscinski:
HydraSum: Disentangling Style Features in Text Summarization with Multi-Decoder Models. EMNLP 2022: 464-479 - [c29]Swarnadeep Saha, Peter Hase, Nazneen Rajani, Mohit Bansal:
Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations. EMNLP 2022: 2121-2131 - [c28]Prafulla Kumar Choubey, Yu Bai, Chien-Sheng Wu, Wenhao Liu, Nazneen Rajani:
Conformal Predictor for Improving Zero-Shot Text Classification Efficiency. EMNLP 2022: 3027-3034 - [c27]Junxian He, Wojciech Kryscinski, Bryan McCann, Nazneen Rajani, Caiming Xiong:
CTRLsum: Towards Generic Controllable Text Summarization. EMNLP 2022: 5879-5915 - [c26]Wojciech Kryscinski, Nazneen Rajani, Divyansh Agarwal, Caiming Xiong, Dragomir Radev:
BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization. EMNLP (Findings) 2022: 6536-6558 - [c25]Anamaria Crisan, Margaret Drouhard, Jesse Vig, Nazneen Rajani:
Interactive Model Cards: A Human-Centered Approach to Model Documentation. FAccT 2022: 427-439 - [c24]Benjamin Newman, Prafulla Kumar Choubey, Nazneen Rajani:
P-Adapters: Robustly Extracting Factual Information from Language Models with Diverse Prompts. ICLR 2022 - [c23]Jun Yuan, Jesse Vig, Nazneen Rajani:
iSEA: An Interactive Pipeline for Semantic Error Analysis of NLP Models. IUI 2022: 878-888 - [i35]Jun Yuan, Jesse Vig, Nazneen Rajani:
iSEA: An Interactive Pipeline for Semantic Error Analysis of NLP Models. CoRR abs/2203.04408 (2022) - [i34]Anamaria Crisan, Margaret Drouhard, Jesse Vig, Nazneen Rajani:
Interactive Model Cards: A Human-Centered Approach to Model Documentation. CoRR abs/2205.02894 (2022) - [i33]Leandro von Werra, Lewis Tunstall, Abhishek Thakur, Alexandra Sasha Luccioni, Tristan Thrush, Aleksandra Piktus, Felix Marty, Nazneen Rajani, Victor Mustar, Helen Ngo, Omar Sanseviero, Mario Sasko, Albert Villanova del Moral, Quentin Lhoest, Julien Chaumond, Margaret Mitchell, Alexander M. Rush, Thomas Wolf, Douwe Kiela:
Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements. CoRR abs/2210.01970 (2022) - [i32]Nazneen Rajani, Weixin Liang, Lingjiao Chen, Meg Mitchell, James Zou:
SEAL : Interactive Tool for Systematic Error Analysis and Labeling. CoRR abs/2210.05839 (2022) - [i31]Prafulla Kumar Choubey, Yu Bai, Chien-Sheng Wu, Wenhao Liu, Nazneen Rajani:
Conformal Predictor for Improving Zero-shot Text Classification Efficiency. CoRR abs/2210.12619 (2022) - [i30]Swarnadeep Saha, Peter Hase, Nazneen Rajani, Mohit Bansal:
Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations. CoRR abs/2211.07517 (2022) - [i29]Margaret Mitchell, Alexandra Sasha Luccioni, Nathan Lambert, Marissa Gerchick, Angelina McMillan-Major, Ezinwanne Ozoani, Nazneen Rajani, Tristan Thrush, Yacine Jernite, Douwe Kiela:
Measuring Data. CoRR abs/2212.05129 (2022) - 2021
- [c22]Qingyun Wang, Semih Yavuz, Xi Victoria Lin, Heng Ji, Nazneen Fatema Rajani:
Stage-wise Fine-tuning for Graph-to-Text Generation. ACL (student) 2021: 16-22 - [c21]Jesse Vig, Wojciech Kryscinski, Karan Goel, Nazneen Rajani:
SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization. ACL (demo) 2021: 150-158 - [c20]Gustavo Aguilar, Bryan McCann, Tong Niu, Nazneen Rajani, Nitish Shirish Keskar, Thamar Solorio:
Char2Subword: Extending the Subword Embedding Space Using Robust Character Compositionality. EMNLP (Findings) 2021: 1640-1651 - [c19]Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann, Nitish Shirish Keskar, Shafiq R. Joty, Richard Socher, Nazneen Fatema Rajani:
GeDi: Generative Discriminator Guided Sequence Generation. EMNLP (Findings) 2021: 4929-4952 - [c18]Han Guo, Nazneen Rajani, Peter Hase, Mohit Bansal, Caiming Xiong:
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging. EMNLP (1) 2021: 10333-10350 - [c17]Shiyang Li, Semih Yavuz, Kazuma Hashimoto, Jia Li, Tong Niu, Nazneen Fatema Rajani, Xifeng Yan, Yingbo Zhou, Caiming Xiong:
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers. ICLR 2021 - [c16]Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani:
BERTology Meets Biology: Interpreting Attention in Protein Language Models. ICLR 2021 - [c15]Karan Goel, Nazneen Fatema Rajani, Jesse Vig, Zachary Taschdjian, Mohit Bansal, Christopher Ré:
Robustness Gym: Unifying the NLP Evaluation Landscape. NAACL-HLT (Demonstrations) 2021: 42-55 - [c14]Karan Goel, Laurel J. Orr, Nazneen Fatema Rajani, Jesse Vig, Christopher Ré:
Goodwill Hunting: Analyzing and Repurposing Off-the-Shelf Named Entity Linking Systems. NAACL-HLT (Industry Papers) 2021: 205-213 - [c13]Linyong Nan, Dragomir R. Radev, Rui Zhang, Amrit Rau, Abhinand Sivaprasad, Chiachun Hsieh, Xiangru Tang, Aadit Vyas, Neha Verma, Pranav Krishna, Yangxiaokang Liu, Nadia Irwanto, Jessica Pan, Faiaz Rahman, Ahmad Zaidi, Mutethia Mutuma, Yasin Tarabar, Ankit Gupta, Tao Yu, Yi Chern Tan, Xi Victoria Lin, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani:
DART: Open-Domain Structured Data Record to Text Generation. NAACL-HLT 2021: 432-447 - [i28]Karan Goel, Nazneen Fatema Rajani, Jesse Vig, Samson Tan, Jason Wu, Stephan Zheng, Caiming Xiong, Mohit Bansal, Christopher Ré:
Robustness Gym: Unifying the NLP Evaluation Landscape. CoRR abs/2101.04840 (2021) - [i27]Jesse Vig, Wojciech Kryscinski, Karan Goel, Nazneen Fatema Rajani:
SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization. CoRR abs/2104.07605 (2021) - [i26]Qingyun Wang, Semih Yavuz, Victoria Lin, Heng Ji, Nazneen Fatema Rajani:
Stage-wise Fine-tuning for Graph-to-Text Generation. CoRR abs/2105.08021 (2021) - [i25]Wojciech Kryscinski, Nazneen Fatema Rajani, Divyansh Agarwal, Caiming Xiong, Dragomir R. Radev:
BookSum: A Collection of Datasets for Long-form Narrative Summarization. CoRR abs/2105.08209 (2021) - [i24]Tanya Goyal, Nazneen Fatema Rajani, Wenhao Liu, Wojciech Kryscinski:
HydraSum - Disentangling Stylistic Features in Text Summarization using Multi-Decoder Models. CoRR abs/2110.04400 (2021) - [i23]Prafulla Kumar Choubey, Jesse Vig, Wenhao Liu, Nazneen Fatema Rajani:
MoFE: Mixture of Factual Experts for Controlling Hallucinations in Abstractive Summarization. CoRR abs/2110.07166 (2021) - [i22]Benjamin Newman, Prafulla Kumar Choubey, Nazneen Rajani:
P-Adapters: Robustly Extracting Factual Information from Language Models with Diverse Prompts. CoRR abs/2110.07280 (2021) - 2020
- [c12]Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher, Byron C. Wallace:
ERASER: A Benchmark to Evaluate Rationalized NLP Models. ACL 2020: 4443-4458 - [c11]Tianlu Wang, Xi Victoria Lin, Nazneen Fatema Rajani, Bryan McCann, Vicente Ordonez, Caiming Xiong:
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation. ACL 2020: 5443-5453 - [c10]Nazneen Fatema Rajani, Rui Zhang, Yi Chern Tan, Stephan Zheng, Jeremy Weiss, Aadit Vyas, Abhijit Gupta, Caiming Xiong, Richard Socher, Dragomir R. Radev:
ESPRIT: Explaining Solutions to Physical Reasoning Tasks. ACL 2020: 7906-7917 - [c9]Wenpeng Yin, Nazneen Fatema Rajani, Dragomir R. Radev, Richard Socher, Caiming Xiong:
Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start. EMNLP (1) 2020: 8229-8239 - [c8]Qingyun Wang, Qi Zeng, Lifu Huang, Kevin Knight, Heng Ji, Nazneen Fatema Rajani:
ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis. INLG 2020: 384-397 - [i21]Nazneen Fatema Rajani, Rui Zhang, Yi Chern Tan, Stephan Zheng, Jeremy Weiss, Aadit Vyas, Abhijit Gupta, Caiming Xiong, Richard Socher, Dragomir R. Radev:
ESPRIT: Explaining Solutions to Physical Reasoning Tasks. CoRR abs/2005.00730 (2020) - [i20]Tianlu Wang, Xi Victoria Lin, Nazneen Fatema Rajani, Bryan McCann, Vicente Ordonez, Caiming Xiong:
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation. CoRR abs/2005.00965 (2020) - [i19]Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani:
BERTology Meets Biology: Interpreting Attention in Protein Language Models. CoRR abs/2006.15222 (2020) - [i18]Dragomir R. Radev, Rui Zhang, Amrit Rau, Abhinand Sivaprasad, Chiachun Hsieh, Nazneen Fatema Rajani, Xiangru Tang, Aadit Vyas, Neha Verma, Pranav Krishna, Yangxiaokang Liu, Nadia Irwanto, Jessica Pan, Faiaz Rahman, Ahmad Zaidi, Murori Mutuma, Yasin Tarabar, Ankit Gupta, Tao Yu, Yi Chern Tan, Xi Victoria Lin, Caiming Xiong, Richard Socher:
DART: Open-Domain Structured Data Record to Text Generation. CoRR abs/2007.02871 (2020) - [i17]Ben Krause, Akhilesh Deepak Gotmare, Bryan McCann, Nitish Shirish Keskar, Shafiq R. Joty, Richard Socher, Nazneen Fatema Rajani:
GeDi: Generative Discriminator Guided Sequence Generation. CoRR abs/2009.06367 (2020) - [i16]Wenpeng Yin, Nazneen Fatema Rajani, Dragomir R. Radev, Richard Socher, Caiming Xiong:
Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start. CoRR abs/2010.02584 (2020) - [i15]Qingyun Wang, Qi Zeng, Lifu Huang, Kevin Knight, Heng Ji, Nazneen Fatema Rajani:
ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis. CoRR abs/2010.06119 (2020) - [i14]Lav R. Varshney, Nazneen Fatema Rajani, Richard Socher:
Explaining Creative Artifacts. CoRR abs/2010.07126 (2020) - [i13]Nazneen Fatema Rajani, Ben Krause, Wengpeng Yin, Tong Niu, Richard Socher, Caiming Xiong:
Explaining and Improving Model Behavior with k Nearest Neighbor Representations. CoRR abs/2010.09030 (2020) - [i12]Gustavo Aguilar, Bryan McCann, Tong Niu, Nazneen Fatema Rajani, Nitish Shirish Keskar, Thamar Solorio:
Char2Subword: Extending the Subword Embedding Space from Pre-trained Models Using Robust Character Compositionality. CoRR abs/2010.12730 (2020) - [i11]Shiyang Li, Semih Yavuz, Kazuma Hashimoto, Jia Li, Tong Niu, Nazneen Fatema Rajani, Xifeng Yan, Yingbo Zhou, Caiming Xiong:
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers. CoRR abs/2010.12850 (2020) - [i10]Hiroaki Hayashi, Wojciech Kryscinski, Bryan McCann, Nazneen Fatema Rajani, Caiming Xiong:
What's New? Summarizing Contributions in Scientific Literature. CoRR abs/2011.03161 (2020) - [i9]Pascal Sturmfels, Jesse Vig, Ali Madani, Nazneen Fatema Rajani:
Profile Prediction: An Alignment-Based Pre-Training Task for Protein Sequence Models. CoRR abs/2012.00195 (2020) - [i8]Junxian He, Wojciech Kryscinski, Bryan McCann, Nazneen Fatema Rajani, Caiming Xiong:
CTRLsum: Towards Generic Controllable Text Summarization. CoRR abs/2012.04281 (2020) - [i7]Han Guo, Nazneen Fatema Rajani, Peter Hase, Mohit Bansal, Caiming Xiong:
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging. CoRR abs/2012.15781 (2020)
2010 – 2019
- 2019
- [c7]Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, Richard Socher:
Explain Yourself! Leveraging Language Models for Commonsense Reasoning. ACL (1) 2019: 4932-4942 - [i6]Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, Richard Socher:
Explain Yourself! Leveraging Language Models for Commonsense Reasoning. CoRR abs/1906.02361 (2019) - [i5]Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher, Byron C. Wallace:
ERASER: A Benchmark to Evaluate Rationalized NLP Models. CoRR abs/1911.03429 (2019) - 2018
- [c6]Nazneen Fatema Rajani, Raymond J. Mooney:
Stacking with Auxiliary Features for Visual Question Answering. NAACL-HLT 2018: 2217-2226 - 2017
- [c5]Nazneen Fatema Rajani, Mihaela A. Bornea, Ken Barker:
Stacking With Auxiliary Features for Entity Linking in the Medical Domain. BioNLP 2017: 39-47 - [c4]Nazneen Fatema Rajani, Raymond J. Mooney:
Stacking With Auxiliary Features. IJCAI 2017: 2634-2640 - 2016
- [c3]Nazneen Fatema Rajani, Raymond J. Mooney:
Combining Supervised and Unsupervised Enembles for Knowledge Base Population. EMNLP 2016: 1943-1948 - [i4]Nazneen Fatema Rajani, Raymond J. Mooney:
Stacking With Auxiliary Features for Combining Supervised and Unsupervised Ensembles. TAC 2016 - [i3]Nazneen Fatema Rajani, Raymond J. Mooney:
Supervised and Unsupervised Ensembling for Knowledge Base Population. CoRR abs/1604.04802 (2016) - [i2]Nazneen Fatema Rajani, Raymond J. Mooney:
Stacking With Auxiliary Features. CoRR abs/1605.08764 (2016) - 2015
- [c2]Vidhoon Viswanathan, Nazneen Fatema Rajani, Yinon Bentor, Raymond J. Mooney:
Stacked Ensembles of Information Extractors for Knowledge-Base Population. ACL (1) 2015: 177-187 - [i1]Nazneen Fatema Rajani, Raymond J. Mooney:
Stacked Ensembles of Information Extractors for Knowledge-Base Population by Combining Supervised and Unsupervised Approaches. TAC 2015 - 2014
- [c1]Nazneen Fatema Rajani, Kate McArdle, Jason Baldridge:
Extracting topics based on authors, recipients and content in microblogs. SIGIR 2014: 1171-1174
Coauthor Index
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last updated on 2024-04-14 01:14 CEST by the dblp team
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