Fabbri, Alexander R.

SummEval: Re-evaluating Summarization Evaluation

Fabbri, A. R., Kryściński, W., McCann, B., Xiong, C., Socher, R., & Radev, D. (2021) · Transactions of the Association for Computational Linguistics

Topic ModelingAdvanced Text Analysis Techniques

Cited by 587

Multi-News: A Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Model

Fabbri, A., Li, I., She, T., Li, S., & Radev, D. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingAdvanced Text Analysis Techniques

Cited by 449

QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization

Fabbri, A., Wu, C.-S., Liu, W., & Xiong, C. (2022) · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingAdvanced Text Analysis Techniques

Cited by 119

FOLIO: Natural Language Reasoning with First-Order Logic

Han, S., Schoelkopf, H., Zhao, Y., Qi, Z., Riddell, M., Zhou, W., Coady, J., Peng, D., Qiao, Y., Benson, L., et al. (2022) · arXiv

Topic ModelingLogic, Reasoning, and Knowledge

Cited by 35

Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems

Laban, P., Fabbri, A. R., Xiong, C., & Wu, C.-S. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 26

LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond

Laban, P., Kryściński, W., Agarwal, D., Fabbri, A. R., Xiong, C., Joty, S., & Wu, C.-S. (2023) · arXiv

Misinformation and Its ImpactsTopic Modeling

Cited by 13

Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles

Huang, K.-H., Laban, P., Fabbri, A. R., Choubey, P. K., Joty, S., Xiong, C., & Wu, C.-S. (2023) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 1