Goyal, Tanya

News Summarization and Evaluation in the Era of GPT-3

Goyal, T., Li, J. J., & Durrett, G. (2022) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 175

Annotating and Modeling Fine-grained Factuality in Summarization

Goyal, T., & Durrett, G. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingNatural Language Processing Techniques

Cited by 100

Evaluating Factuality in Generation with Dependency-level Entailment

Goyal, T., & Durrett, G. (2020) · Findings of the Association for Computational Linguistics: EMNLP 2020

Natural Language Processing TechniquesTopic Modeling

Cited by 93

WiCE: Real-world entailment for claims in Wikipedia

Kamoi, R., Goyal, T., Rodriguez, J., & Durrett, G. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 26

BooookScore: A systematic exploration of book-length summarization in the era of LLMs

Chang, Y., Lo, K., Goyal, T., & Iyyer, M. (2023) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 18

Evaluating Large Language Models at Evaluating Instruction Following

Zeng, Z., Yu, J., Gao, T., Meng, Y., Goyal, T., & Chen, D. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 13

LitSearch: A Retrieval Benchmark for Scientific Literature Search

Ajith, A., Xia, M., Chevalier, A., Goyal, T., Chen, D., & Gao, T. (2024) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 13

One Thousand and One Pairs: A “novel” challenge for long-context language models

Karpinska, M., Thai, K., Lo, K., Goyal, T., & Iyyer, M. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 7

WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries

Zhao, W., Goyal, T., Chiu, Y. Y., Jiang, L., Newman, B., Ravichander, A., Chandu, K., Bras, R. L., Cardie, C., Deng, Y., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5

FABLES: Evaluating faithfulness and content selection in book-length summarization

Kim, Y., Chang, Y., Karpinska, M., Garimella, A., Manjunatha, V., Lo, K., Goyal, T., & Iyyer, M. (2024) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 4

A Long Way to Go: Investigating Length Correlations in RLHF

Singhal, P., Goyal, T., Xu, J., & Durrett, G. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3