Generative Question Answering

Benchmarks archive 2025-07-28

2 leaderboard tables shown for this task, 2 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

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

6 datasets 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.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

12 shown of 12 papers with code (45 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.

• Unified Language Model Pre-training for Natural Language Understanding and Generation
  8 May 2019 9 repositories listed
  This paper presents a new Unified pre-trained Language Model (UniLM) that can be fine-tuned for both natural language understanding and generation tasks.
• ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation
  26 Jan 2020 5 repositories listed
  Current pre-training works in natural language generation pay little attention to the problem of exposure bias on downstream tasks.
• CoQA: A Conversational Question Answering Challenge
  21 Aug 2018 4 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  Humans gather information by engaging in conversations involving a series of interconnected questions and answers.
• General-Purpose Question-Answering with Macaw
  6 Sep 2021 2 repositories listed
  Despite the successes of pretrained language models, there are still few high-quality, general-purpose QA systems that are freely available.
• PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation
  14 Apr 2020 2 repositories listed
  An extensive set of experiments show that PALM achieves new state-of-the-art results on a variety of language generation benchmarks covering generative question answering (Rank 1 on the official MARCO leaderboard),…
• ANAH: Analytical Annotation of Hallucinations in Large Language Models
  30 May 2024 1 repository listed Syntology ran 9 of 9 samples · 0 unverified
  Reducing the `hallucination' problem of Large Language Models (LLMs) is crucial for their wide applications.
• Reshaping Free-Text Radiology Notes Into Structured Reports With Generative Transformers
  27 Mar 2024 1 repository listed
  We propose a pipeline to extract information from free-text radiology reports, that fits with the items of the reference SR registry proposed by a national society of interventional and medical radiology, focusing on CT…
• Verif.ai: Towards an Open-Source Scientific Generative Question-Answering System with Referenced and Verifiable Answers
  9 Feb 2024 1 repository listed
  In this paper, we present the current progress of the project Verif.
• Sequence-to-Sequence Spanish Pre-trained Language Models
  20 Sep 2023 1 repository listed
  In recent years, significant advancements in pre-trained language models have driven the creation of numerous non-English language variants, with a particular emphasis on encoder-only and decoder-only architectures.
• Retrieval-Augmented Generative Question Answering for Event Argument Extraction
  14 Nov 2022 1 repository listed
  We propose a retrieval-augmented generative QA model (R-GQA) for event argument extraction.
• KPQA: A Metric for Generative Question Answering Using Keyphrase Weights
  1 May 2020 1 repository listed
  To evaluate our metric, we create high-quality human judgments of correctness on two GenQA datasets.
• Neural Generative Question Answering
  4 Dec 2015 1 repository listed
  Empirical study shows the proposed model can effectively deal with the variations of questions and answers, and generate right and natural answers by referring to the facts in the knowledge-base.

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.