GovReport

A long document summarization dataset consisting of reports from government research agencies including Congressional Research Service and U.S. Government Accountability Office, with significantly longer documents and summaries than other datasets.

Phi-3.5-MoE-instruct from Microsoft currently leads the GovReport leaderboard with a score of 0.264 across 2 evaluated AI models.

Paper
About this benchmark

What GovReport measures

GovReport is a text benchmark that evaluates large language models on long context and summarization tasks. LLM Stats tracks 2 models on this benchmark, with a maximum possible score of 1. Current average across reported models is 0.3, with the leader reaching 0.3.

Compare leaders on the best AI for long context and best AI for summarization leaderboards.

Publication

Paper
Efficient Attentions for Long Document Summarization
Authors
Luyang Huang, Shuyang Cao, Nikolaus Parulian, Heng Ji, and 1 others
Published

Abstract

The quadratic computational and memory complexities of large Transformers have limited their scalability for long document summarization. In this paper, we propose Hepos, a novel efficient encoder-decoder attention with head-wise positional strides to effectively pinpoint salient information from the source. We further conduct a systematic study of existing efficient self-attentions. Combined with Hepos, we are able to process ten times more tokens than existing models that use full attentions. For evaluation, we present a new dataset, GovReport, with significantly longer documents and summaries. Results show that our models produce significantly higher ROUGE scores than competitive comparisons, including new state-of-the-art results on PubMed. Human evaluation also shows that our models generate more informative summaries with fewer unfaithful errors.

MicrosoftPhi-3.5-MoE-instruct leads with 26.4%, followed by MicrosoftPhi-3.5-mini-instruct at 25.9%.

Progress Over Time

Interactive timeline showing model performance evolution on GovReport

State-of-the-art frontier
Open
Proprietary

GovReport Leaderboard

2 models
ContextCostLicense
160B
24B
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FAQ

Common questions about GovReport.

What is the GovReport benchmark?

A long document summarization dataset consisting of reports from government research agencies including Congressional Research Service and U.S. Government Accountability Office, with significantly longer documents and summaries than other datasets.

What is the GovReport leaderboard?

The GovReport leaderboard ranks 2 AI models based on their performance on this benchmark. Currently, Phi-3.5-MoE-instruct by Microsoft leads with a score of 0.264. The average score across all models is 0.262.

What is the highest GovReport score?

The highest GovReport score is 0.264, achieved by Phi-3.5-MoE-instruct from Microsoft.

How many models are evaluated on GovReport?

2 models have been evaluated on the GovReport benchmark, with 0 verified results and 2 self-reported results.

Where can I find the GovReport paper?

The GovReport paper is available at https://arxiv.org/abs/2104.02112. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does GovReport cover?

GovReport is categorized under long context and summarization. The benchmark evaluates text models.

What is the best open-source model on GovReport?

Phi-3.5-MoE-instruct by Microsoft is the top-ranked open-source model on GovReport, with a score of 0.264 (rank #1).

How recent are the GovReport leaderboard results?

The GovReport leaderboard was last updated in June 2026 and currently includes 2 evaluated models.

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