Abstract generation

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Most implemented papers archive 2025-07-28

5 shown of 5 papers with code (16 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on Graphs
  25 Mar 2025 1 repository listed
  Recent advances in graph learning have paved the way for innovative retrieval-augmented generation (RAG) systems that leverage the inherent relational structures in graph data.
• PatentEval: Understanding Errors in Patent Generation
  5 Jun 2024 1 repository listed Syntology ran 3 of 5 samples · 2 unverified
  In this work, we introduce a comprehensive error typology specifically designed for evaluating two distinct tasks in machine-generated patent texts: claims-to-abstract generation, and the generation of the next claim…
• DGoT: Dynamic Graph of Thoughts for Scientific Abstract Generation
  26 Mar 2024 1 repository listed
  However, due to the hallucination problem of LLM, it is often necessary to improve the reliability of the results through multi-round query prompt approach such as Graph of Thoughts (GoT), which also brings additional…
• UPER: Boosting Multi-Document Summarization with an Unsupervised Prompt-based Extractor
  1 Oct 2022 1 repository listed
  However, the trained scoring model is prone to under-fitting for low-resource settings, as it relies on the training data.
• TWAG: A Topic-Guided Wikipedia Abstract Generator
  29 Jun 2021 1 repository listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)
  Wikipedia abstract generation aims to distill a Wikipedia abstract from web sources and has met significant success by adopting multi-document summarization techniques.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.