---
title: "Who cites BillSum: A Corpus for Automatic Summarization of…"
description: "93 papers of the Elamur Research library cite «BillSum: A Corpus for Automatic Summarization of US Legislation», found in their bibliographies; the most…"
canonical: "https://research.elamur.ai/free/en/papers/kornilova-2019-billsum-corpus-automatic-summarization-us/cited-by/"
---
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# Who cites «BillSum: A Corpus for Automatic Summarization of US Legislation»

93 papers of our library cite it (of the 140884 whose bibliographies we read) · 7 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/kornilova-2019-billsum-corpus-automatic-summarization-us/)

- [PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/zhang-2019-pegasus-pre-training-extracted-gap/) — Jingqing Zhang, Yao Zhao, Mohammad Saleh, et al. · 2019 · 1 806 citations
- [Efficient Attentions for Long Document Summarization](https://md.research.elamur.ai/free/en/papers/huang-2021-efficient-attentions-long-document-summarization/) — Luyang Huang, Shuyang Cao, Nikolaus Parulian, et al. · 2021 · 334 citations
- [SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer](https://md.research.elamur.ai/free/en/papers/vu-2022-spot-better-frozen-model-adaptation/) — Tu Vu, Brian Lester, Noah Constant, et al. · 2022 · 300 citations
- [Muppet: Massive Multi-task Representations with Pre-Finetuning](https://md.research.elamur.ai/free/en/papers/aghajanyan-2021-muppet-massive-multi-task-representations/) — Armen Aghajanyan, Anchit Gupta, Akshat Shrivastava, et al. · 2021 · 299 citations
- [Planning with Learned Entity Prompts for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/narayan-2021-planning-learned-entity-prompts-abstractive/) — Shashi Narayan, Yao Zhao, Joshua Maynez, et al. · 2021 · 180 citations
- [LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization](https://md.research.elamur.ai/free/en/papers/krishna-2023-longeval-guidelines-human-evaluation-faithfulness/) — Kalpesh Krishna, Erin Bransom, Bailey Kuehl, et al. · 2023 · 112 citations
- [“Decode the Law”: Towards Legal Text Simplification with Large Language Models](https://md.research.elamur.ai/free/en/papers/rabbani-2026-decode-law-legal-text-simplification/) — Mohammed Danish Rabbani, Subhadeep Roy, Sayantan Mitra, et al. · 2026

86 more papers of our library cite it; they have no page here yet.