Sentence Ordering

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 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

2 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.

Most implemented papers archive 2025-07-28

21 shown of 21 papers with code (50 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.

• Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction
  17 Oct 2023 2 repositories listed
  However, BIO-tagging scheme relies on the correct order of model inputs, which is not guaranteed in real-world NER on scanned VrDs where text are recognized and arranged by OCR systems.
• Topological Sort for Sentence Ordering
  1 May 2020 2 repositories listed
  Sentence ordering is the task of arranging the sentences of a given text in the correct order.
• Sentence Ordering and Coherence Modeling using Recurrent Neural Networks
  8 Nov 2016 2 repositories listed
  Modeling the structure of coherent texts is a key NLP problem.
• OrderSum: Semantic Sentence Ordering for Extractive Summarization
  22 Feb 2025 1 repository listed
  OrderSum proposes a new representation method to incorporate the sentence order into the embedding of the extractive summary, and an objective function to train the model to identify which extractive summary has a…
• EconLogicQA: A Question-Answering Benchmark for Evaluating Large Language Models in Economic Sequential Reasoning
  13 May 2024 1 repository listed Syntology ran 7 of 10 samples · 3 unverified
  In this paper, we introduce EconLogicQA, a rigorous benchmark designed to assess the sequential reasoning capabilities of large language models (LLMs) within the intricate realms of economics, business, and supply chain…
• Are Large Language Models Temporally Grounded?
  14 Nov 2023 1 repository listed
  Instead, we provide LLMs with textual narratives and probe them with respect to their common-sense knowledge of the structure and duration of events, their ability to order events along a timeline, and self-consistency…
• Non-Autoregressive Sentence Ordering
  19 Oct 2023 1 repository listed
  Existing sentence ordering approaches generally employ encoder-decoder frameworks with the pointer net to recover the coherence by recurrently predicting each sentence step-by-step.
• Positional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic Models
  20 Mar 2023 1 repository listed
  We present Positional Diffusion, a plug-and-play graph formulation with Diffusion Probabilistic Models to address positional reasoning.
• PhysNLU: A Language Resource for Evaluating Natural Language Understanding and Explanation Coherence in Physics
  12 Jan 2022 1 repository listed
  In order for language models to aid physics research, they must first encode representations of mathematical and natural language discourse which lead to coherent explanations, with correct ordering and relevance of…
• A Neural Graph-based Local Coherence Model
  1 Nov 2021 1 repository listed
  Entity grids and entity graphs are two frameworks for modeling local coherence.
• Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise Orderings
  13 Oct 2021 1 repository listed Syntology ran 1 of 3 samples · 2 unverified
  Dominant sentence ordering models can be classified into pairwise ordering models and set-to-sequence models.
• Local and Global Context-Based Pairwise Models for Sentence Ordering
  8 Oct 2021 1 repository listed
  Analysis of the two proposed decoding strategies helps better explain error propagation in pairwise models.
• STaCK: Sentence Ordering with Temporal Commonsense Knowledge
  6 Sep 2021 1 repository listed
  Sentence order prediction is the task of finding the correct order of sentences in a randomly ordered document.
• Formulating Neural Sentence Ordering as the Asymmetric Traveling Salesman Problem
  1 Aug 2021 1 repository listed
  However, such an approach has major limitations – it cannot handle the presence of cycles in the resulting graphs and considers only the binary presence/absence of edges rather than a more granular score.
• GECko+: a Grammatical and Discourse Error Correction Tool
  1 Jun 2021 1 repository listed
  GECko+ : a Grammatical and Discourse Error Correction Tool We introduce GECko+, a web-based writing assistance tool for English that corrects errors both at the sentence and at the discourse level.
• Is Everything in Order? A Simple Way to Order Sentences
  14 Apr 2021 1 repository listed Syntology ran 2 of 2 samples · 0 unverified
  We perform evaluations in a zero-shot setting, showcasing that our model is able to generalize well across other datasets.
• Neural Sentence Ordering Based on Constraint Graphs
  27 Jan 2021 1 repository listed
  Our experiments on five benchmark datasets show that our method outperforms all the existing baselines significantly, achieving a new state-of-the-art performance.
• On Losses for Modern Language Models
  4 Oct 2020 1 repository listed
  BERT set many state-of-the-art results over varied NLU benchmarks by pre-training over two tasks: masked language modelling (MLM) and next sentence prediction (NSP), the latter of which has been highly criticized.
• Graph-based Neural Sentence Ordering
  16 Dec 2019 1 repository listed
  Sentence ordering is to restore the original paragraph from a set of sentences.
• Partially Shuffling the Training Data to Improve Language Models
  11 Mar 2019 1 repository listed
  Although SGD requires shuffling the training data between epochs, currently none of the word-level language modeling systems do this.
• Text Coherence Analysis Based on Deep Neural Network
  21 Oct 2017 1 repository listed
  In this paper, we propose a novel deep coherence model (DCM) using a convolutional neural network architecture to capture the text coherence.

Syntology lines on 3 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.