Tanya Goyal

According to our database1, Tanya Goyal authored at least 24 papers between 2016 and 2023.

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

Timeline

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Bibliography

2023
Evaluating Large Language Models at Evaluating Instruction Following.
CoRR, 2023

A Long Way to Go: Investigating Length Correlations in RLHF.
CoRR, 2023

BooookScore: A systematic exploration of book-length summarization in the era of LLMs.
CoRR, 2023

WiCE: Real-World Entailment for Claims in Wikipedia.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Shortcomings of Question Answering Based Factuality Frameworks for Error Localization.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
News Summarization and Evaluation in the Era of GPT-3.
CoRR, 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

FALTE: A Toolkit for Fine-grained Annotation for Long Text Evaluation.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SNaC: Coherence Error Detection for Narrative Summarization.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Training Dynamics for Text Summarization Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
HydraSum - Disentangling Stylistic Features in Text Summarization using Multi-Decoder Models.
CoRR, 2021

Annotating and Modeling Fine-grained Factuality in Summarization.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020
Evaluating Factuality in Generation with Dependency-level Entailment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Neural Syntactic Preordering for Controlled Paraphrase Generation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Embedding Time Expressions for Deep Temporal Ordering Models.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Predicting Email and Article Clickthroughs with Domain-adaptive Language Models.
Proceedings of the 10th ACM Conference on Web Science, 2018

Harvesting Knowledge from Cultural Heritage Artifacts in Museums of India.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Your Behavior Signals Your Reliability: Modeling Crowd Behavioral Traces to Ensure Quality Relevance Annotations.
Proceedings of the Sixth AAAI Conference on Human Computation and Crowdsourcing, 2018

Frustrated, Polite, or Formal: Quantifying Feelings and Tone in Email.
Proceedings of the Second Workshop on Computational Modeling of People's Opinions, 2018

2017
Preventing Inadvertent Information Disclosures via Automatic Security Policies.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

An Empirical Analysis of Edit Importance between Document Versions.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
Environment Specific Content Rendering & Transformation.
Proceedings of the Companion Publication of the 21st International Conference on Intelligent User Interfaces, 2016

Smart filters for social retrieval.
Proceedings of the 3rd IKDD Conference on Data Science, 2016


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