Nazneen Fatema Rajani
Orcid: 0000-0001-6301-1960Affiliations:
- Salesforce Research, Palo Alto, CA, USA
- University of Texas at Austin, Department of Computer Science, TX, USA (PhD)
According to our database1,
Nazneen Fatema Rajani
authored at least 54 papers
between 2014 and 2024.
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Bibliography
2024
Systematic analysis of 32,111 AI model cards characterizes documentation practice in AI.
Nat. Mac. Intell., 2024
2023
CoRR, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements.
CoRR, 2022
Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022
P-Adapters: Robustly Extracting Factual Information from Language Models with Diverse Prompts.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022
Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
HydraSum: Disentangling Style Features in Text Summarization with Multi-Decoder Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
MoFE: Mixture of Factual Experts for Controlling Hallucinations in Abstractive Summarization.
CoRR, 2021
HydraSum - Disentangling Stylistic Features in Text Summarization using Multi-Decoder Models.
CoRR, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations, 2021
Goodwill Hunting: Analyzing and Repurposing Off-the-Shelf Named Entity Linking Systems.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Char2Subword: Extending the Subword Embedding Space Using Robust Character Compositionality.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021
SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Profile Prediction: An Alignment-Based Pre-Training Task for Protein Sequence Models.
CoRR, 2020
Char2Subword: Extending the Subword Embedding Space from Pre-trained Models Using Robust Character Compositionality.
CoRR, 2020
CoRR, 2020
Proceedings of the 13th International Conference on Natural Language Generation, 2020
Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018
2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the BioNLP 2017, Vancouver, Canada, August 4, 2017, 2017
2016
Stacking With Auxiliary Features for Combining Supervised and Unsupervised Ensembles.
Proceedings of the 2016 Text Analysis Conference, 2016
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
2015
Stacked Ensembles of Information Extractors for Knowledge-Base Population by Combining Supervised and Unsupervised Approaches.
Proceedings of the 2015 Text Analysis Conference, 2015
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
2014
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014