Nazneen Fatema Rajani

Orcid: 0000-0001-6301-1960

Affiliations:
  • 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 52 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2024
What's documented in AI? Systematic Analysis of 32K AI Model Cards.
CoRR, 2024

2023
Zephyr: Direct Distillation of LM Alignment.
CoRR, 2023

Confidence-Building Measures for Artificial Intelligence: Workshop Proceedings.
CoRR, 2023

Generative AI meets Responsible AI: Practical Challenges and Opportunities.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

What's New? Summarizing Contributions in Scientific Literature.
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
Measuring Data.
CoRR, 2022

SEAL : Interactive Tool for Systematic Error Analysis and Labeling.
CoRR, 2022

Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements.
CoRR, 2022

iSEA: An Interactive Pipeline for Semantic Error Analysis of NLP Models.
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

Interactive Model Cards: A Human-Centered Approach to Model Documentation.
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

SEAL: Interactive Tool for Systematic Error Analysis and Labeling.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

CTRLsum: Towards Generic Controllable Text Summarization.
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

Conformal Predictor for Improving Zero-Shot Text Classification Efficiency.
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

Robustness Gym: Unifying the NLP Evaluation Landscape.
CoRR, 2021

DART: Open-Domain Structured Data Record to Text Generation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Robustness Gym: Unifying the NLP Evaluation Landscape.
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

BERTology Meets Biology: Interpreting Attention in Protein Language Models.
Proceedings of the 9th International Conference on Learning Representations, 2021

CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers.
Proceedings of the 9th International Conference on Learning Representations, 2021

GeDi: Generative Discriminator Guided Sequence Generation.
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

Stage-wise Fine-tuning for Graph-to-Text Generation.
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

Explaining and Improving Model Behavior with k Nearest Neighbor Representations.
CoRR, 2020

Explaining Creative Artifacts.
CoRR, 2020

DART: Open-Domain Structured Data Record to Text Generation.
CoRR, 2020

ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis.
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

Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

ESPRIT: Explaining Solutions to Physical Reasoning Tasks.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

ERASER: A Benchmark to Evaluate Rationalized NLP Models.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Explain Yourself! Leveraging Language Models for Commonsense Reasoning.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Stacking with Auxiliary Features for Visual Question Answering.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017
Stacking With Auxiliary Features.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Stacking With Auxiliary Features for Entity Linking in the Medical Domain.
Proceedings of the BioNLP 2017, Vancouver, Canada, August 4, 2017, 2017

2016
Supervised and Unsupervised Ensembling for Knowledge Base Population.
CoRR, 2016

Stacking With Auxiliary Features for Combining Supervised and Unsupervised Ensembles.
Proceedings of the 2016 Text Analysis Conference, 2016

Combining Supervised and Unsupervised Enembles for Knowledge Base Population.
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

Stacked Ensembles of Information Extractors for Knowledge-Base Population.
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
Extracting topics based on authors, recipients and content in microblogs.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014


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