| News summarization and evaluation in the era of GPT-3 T Goyal, JJ Li, G Durrett arXiv preprint arXiv:2209.12356, 2022 | 434 | 2022 |
| Annotating and modeling fine-grained factuality in summarization T Goyal, G Durrett NAACL 2021, 2021 | 154 | 2021 |
| Evaluating factuality in generation with dependency-level entailment T Goyal, G Durrett Findings of EMNLP 2020, 2020 | 149 | 2020 |
| Evaluating large language models at evaluating instruction following Z Zeng, J Yu, T Gao, Y Meng, T Goyal, D Chen ICLR 2024, 2023 | 140 | 2023 |
| BooookScore: A systematic exploration of book-length summarization in the era of LLMs Y Chang, K Lo, T Goyal, M Iyyer ICLR 2024, 2023 | 105 | 2023 |
| Neural syntactic preordering for controlled paraphrase generation T Goyal, G Durrett ACL 2020, 2020 | 105 | 2020 |
| A long way to go: Investigating length correlations in rlhf P Singhal, T Goyal, J Xu, G Durrett COLM 2024, 2023 | 100 | 2023 |
| Understanding factual errors in summarization: Errors, summarizers, datasets, error detectors L Tang, T Goyal, AR Fabbri, P Laban, J Xu, S Yavuz, W Kryściński, ... ACL 2023, 2022 | 83 | 2022 |
| Nl-augmenter: A framework for task-sensitive natural language augmentation KD Dhole, V Gangal, S Gehrmann, A Gupta, Z Li, S Mahamood, ... Northern European Journal of Language Technology 2023, 2021 | 80 | 2021 |
| Wice: Real-world entailment for claims in wikipedia R Kamoi, T Goyal, JD Rodriguez, G Durrett EMNLP 2023, 2023 | 77 | 2023 |
| Generating data-driven geo-fences P Bajaj, SV Mehta, T Goyal, SVS Revankar US Patent 9,838,843, 2017 | 45 | 2017 |
| Training Dynamics for Text Summarization Models T Goyal, J Xu, JJ Li, G Durrett Findings of ACL 2022, 2021 | 38 | 2021 |
| SNaC: Coherence Error Detection for Narrative Summarization T Goyal, JJ Li, G Durrett EMNLP 2022, 2022 | 33 | 2022 |
| Frustrated, polite, or formal: Quantifying feelings and tone in email N Chhaya, K Chawla, T Goyal, P Chanda, J Singh Proceedings of the Second Workshop on Computational Modeling of People’s …, 2018 | 32 | 2018 |
| Embedding time expressions for deep temporal ordering models T Goyal, G Durrett ACL 2019, 2019 | 30 | 2019 |
| Your behavior signals your reliability: Modeling crowd behavioral traces to ensure quality relevance annotations T Goyal, T McDonnell, M Kutlu, T Elsayed, M Lease Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 6 …, 2018 | 30 | 2018 |
| FABLES: Evaluating faithfulness and content selection in book-length summarization Y Kim, Y Chang, M Karpinska, A Garimella, V Manjunatha, K Lo, T Goyal, ... COLM 2024, 2024 | 27 | 2024 |
| HydraSum: Disentangling style features in text summarization with multi-decoder models T Goyal, N Rajani, W Liu, W Kryściński Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 22* | 2022 |
| Predicting email and article clickthroughs with domain-adaptive language models K Jaidka, T Goyal, N Chhaya Proceedings of the 10th ACM conference on web science, 177-184, 2018 | 18 | 2018 |
| One Thousand and One Pairs: A" novel" challenge for long-context language models M Karpinska, K Thai, K Lo, T Goyal, M Iyyer EMNLP 2024, 2024 | 17 | 2024 |