Tanya Goyal
tanyagoyal@utexas.edu
I will start as a Assistant Professor at Cornell CS in Fall 2024. I am looking to admit multiple PhD students in this admission cycle. See Cornell CS's PhD admission page for details of the admission process.
I am a postdoc at the Center for Language and Intelligence at Princeton. I obtained my PhD in June 2023 from the Computer Science department at UT Austin. My advisor was Greg Durrett, am I was part of the TAUR lab and the wider UT NLP group. My PhD research focused on building evaluation tools for text generation models, focusing on aspects like factuality and coherence. Before grad school, I worked at the Adobe Research Lab in Bangalore, India. Even before that, I learnt how to Math at the Indian Institute of Technology, Guwahati (Maths and Computing, B.Tech 2011-2015).
CV | Research Statement
Preprints
A Long Way To Go: Investigating Length Correlations in RLHF
Prasann Singhal, Tanya Goyal, Jiacheng Xu, Greg Durrett arxiv 2023.
@article{singhallongway2023,
title={A Long Way To Go- Investigating Length Correlations in RLHF },
author={Prasann Singhal, Tanya Goyal, Jiacheng Xu, Greg Durrett },
year={2023},
journal={arXiv preprint arXiv:2310.03716},
}
title={A Long Way To Go- Investigating Length Correlations in RLHF },
author={Prasann Singhal, Tanya Goyal, Jiacheng Xu, Greg Durrett },
year={2023},
journal={arXiv preprint arXiv:2310.03716},
}
BooookScore: A systematic exploration of book-length summarization in the era of LLMs
Yapei Chang, Kyle Lo, Tanya Goyal, and Mohit Iyyer arxiv 2023.
@article{changbooookscore2023,
title={BooookScore - A systematic exploration of book-length summarization in the era of LLMs},
author={Yapei Chang, Kyle Lo, Tanya Goyal, and Mohit Iyyer},
year={2023},
journal={arXiv preprint arXiv:2310.00785},
}
title={BooookScore - A systematic exploration of book-length summarization in the era of LLMs},
author={Yapei Chang, Kyle Lo, Tanya Goyal, and Mohit Iyyer},
year={2023},
journal={arXiv preprint arXiv:2310.00785},
}
News Summarization and Evaluation in the Era of GPT-3
Tanya Goyal, Junyi Jessy Li, Greg Durrett. arxiv 2022.
@article{goyalzeroshotnews2022,
title={News Summarization and Evaluation in the Era of GPT-3},
author={Tanya Goyal, Junyi Jessy Li, Greg Durrett},
year={2022},
journal={arXiv preprint arXiv:2209.12356},
}
title={News Summarization and Evaluation in the Era of GPT-3},
author={Tanya Goyal, Junyi Jessy Li, Greg Durrett},
year={2022},
journal={arXiv preprint arXiv:2209.12356},
}
Publications
WICE: Real-World Entailment for Claims in Wikipedia
Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, and Greg Durrett EMNLP 2023.
@article{kamoiwice2023,
title={WICE - Real-World Entailment for Claims in Wikipedia},
author={Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, and Greg Durrett},
year={2023},
journal={EMNLP},
}
title={WICE - Real-World Entailment for Claims in Wikipedia},
author={Ryo Kamoi, Tanya Goyal, Juan Diego Rodriguez, and Greg Durrett},
year={2023},
journal={EMNLP},
}
Understanding Factual Errors in Summarization- Errors, Summarizers, Datasets, Error Detectors
Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yahvuz, Wojciech Kryściński, Justin F. Rousseau, and Greg Durrett. ACL 2023.
@inproceedings{tang2022factuality,
title={Understanding Factual Errors in Summarization- Errors, Summarizers, Datasets, Error Detectors},
author={Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yahvuz, Wojciech Kryściński, Justin F. Rousseau, and Greg Durrett},
year={2023},
booktitle={ACL},
}
title={Understanding Factual Errors in Summarization- Errors, Summarizers, Datasets, Error Detectors},
author={Liyan Tang, Tanya Goyal, Alexander R. Fabbri, Philippe Laban, Jiacheng Xu, Semih Yahvuz, Wojciech Kryściński, Justin F. Rousseau, and Greg Durrett},
year={2023},
booktitle={ACL},
}
Shortcomings of Question Answering Based Factuality Frameworks for Error Localization
Ryo Kamoi, Tanya Goyal, Greg Durrett. EACL 2023.
@inproceedings{kamoishortcomings2022,
title={Shortcomings of Question Answering Based Factuality Frameworks for Error Localization},
author={Ryo Kamoi, Tanya Goyal, Greg Durrett},
year={2023},
booktitle={EACL},
}
title={Shortcomings of Question Answering Based Factuality Frameworks for Error Localization},
author={Ryo Kamoi, Tanya Goyal, Greg Durrett},
year={2023},
booktitle={EACL},
}
SNaC - Coherence Error Detection for Narrative Summarization
Tanya Goyal, Junyi Jessy Li, Greg Durrett. EMNLP 2022.
@inproceedings{goyal2022snac,
title={SNaC - Coherence Error Detection for Narrative Summarization},
author={Tanya Goyal, Junyi Jessy Li, Greg Durrett},
year={2022},
booktitle={Proceedings of EMNLP},
}
title={SNaC - Coherence Error Detection for Narrative Summarization},
author={Tanya Goyal, Junyi Jessy Li, Greg Durrett},
year={2022},
booktitle={Proceedings of EMNLP},
}
HydraSum: Disentangling Stylistic Features in Text Summarization using Multi-Decoder Models
Tanya Goyal, Nazneen Fatema Rajani, Wenhao Liu, Wojciech Kryściński. EMNLP 2022.
@inproceedings{goyal2022hydrasum, title={HydraSum -- Disentangling Stylistic Features in Text Summarization using Multi-Decoder Models}, author={Tanya Goyal and Nazneen Fatema Rajani and Wenhao Liu and Wojciech Kryściński}, year={2022}, booktitle={Proceedings of EMNLP},
}
}
FALTE - A Toolkit for Fine-grained Annotation for Long Text Evaluation
Tanya Goyal, Junyi Jessy Li, Greg Durrett. EMNLP-DEMO 2022.
@inproceedings{goyal2022falte,
title={FALTE - A Toolkit for Fine-grained Annotation for Long Text Evaluation},
author={Tanya Goyal, Junyi Jessy Li, Greg Durrett},
year={2022},
booktitle={Demo Conference on Empirical Methods in Natural Language Processing},
}
title={FALTE - A Toolkit for Fine-grained Annotation for Long Text Evaluation},
author={Tanya Goyal, Junyi Jessy Li, Greg Durrett},
year={2022},
booktitle={Demo Conference on Empirical Methods in Natural Language Processing},
}
Training Dynamics for Text Summarization Models
Tanya Goyal, Jiacheng Xu, Junyi Jessy Li, Greg Durrett. Findings of ACL 2022.
@inproceedings{goyal2021training, title={Training Dynamics for Text Summarization Models}, author={Tanya Goyal and Jiacheng Xu and Junyi Jessy Li and Greg Durrett}, year={2022}, booktitle={Findings of ACL}, }
Annotating and Modeling Fine-grained Factuality in Summarization
Tanya Goyal and Greg Durrett. NAACL 2021.
Code ● Slides ● Poster ● Bibtex
@inproceedings{goyal2020annotating, title = {Annotating and Modeling Fine-grained Factuality in Summarization}, author = {Tanya Goyal and Greg Durrett}, booktitle = {Proceedings of NAACL}, year = {2021}, }
Evaluating Factuality in Generation with Dependency-level Entailment
Tanya Goyal and Greg Durrett. Findings of EMNLP 2020.
@inproceedings{goyal2020evaluating, title = {Evaluating Factuality in Generation with Dependency-level Entailment}, author = {Goyal, Tanya and Durrett, Greg}, booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing :Findings}, year={2020}, }
Neural Syntactic Preordering for Controlled Paraphrase Generation
Tanya Goyal and Greg Durrett. ACL 2020.
@inproceedings{Goyal-Durrett:2020:Syntaxparaphrase, title = {Neural Syntactic Preordering for Controlled Paraphrase Generation}, author = {Tanya Goyal and Greg Durrett}, booktitle = {Proceedings of ACL}, year = {2020}, }
Embedding time expressions for deep temporal ordering models (short)
Tanya Goyal and Greg Durrett. ACL 2019.
@inproceedings{Goyal-Durrett:2019:Time, title = {Embedding time expressions for deep temporal ordering models}, author = {Tanya Goyal and Greg Durrett}, booktitle = {Proceedings of ACL (short)}, year = {2019}, }
Your Behavior Signals Your Reliability: Modeling Crowd Behavioral Traces to Ensure Quality Relevance Annotations
Tanya Goyal, Tyler McDonnell, Mucahid Kutlu, Tamer Elsayed and Matthew Lease. HCOMP 2018.
@inproceedings{Goyal18-hcomp, title = {{Your Behavior Signals Your Reliability: Modeling Crowd Behavioral Traces to Ensure Quality Relevance Annotations}}, author = {Tanya Goyal and Tyler McDonnell and Mucahid Kutlu and Tamer Elsayed and Matthew Lease}, booktitle = {Proceedings of the 6th AAAI Conference on Human Computation and Crowdsourcing (HCOMP)}, year = 2018, }
An Empirical Analysis of Edit Importance between Document Versions (short)
Tanya Goyal, Sachin Kelkar, Manas Agarwal and Jeenu Grover. EMNLP 2017.
@inproceedings{goyal2017empirical, title={An Empirical Analysis of Edit Importance between Document Versions}, author={Goyal, Tanya and Kelkar, Sachin and Agarwal, Manas and Grover, Jeenu}, booktitle={Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing}, year={2017}, }
Social Links
- Github: https://github.com/tagoyal
- Twitter: http://twitter.com/tanyaagoyal
- Dribbble: https://scholar.google.com/citations?user=w72MSFoAAAAJ&hl=en