SOTAVerified

Sentence Ordering

Sentence ordering task deals with finding the correct order of sentences given a randomly ordered paragraph.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 50 papers

TitleStatusHype
A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text—0
Assessing the Coherence Modeling Capabilities of Pretrained Transformer-based Language Models—0
Automatic sentence classifier using sentence ordering features for Event Based Medicine: Shared task system description—0
BERT4SO: Neural Sentence Ordering by Fine-tuning BERT—0
BERT-enhanced Relational Sentence Ordering Network—0
Rethinking Coherence Modeling: Synthetic vs. Downstream Tasks—0
Deep Attentive Ranking Networks for Learning to Order Sentences—0
On the Creation of a Corpus for Coherence Evaluation of Discursive Units—0
Pruned Graph Neural Network for Short Story Ordering—0
Sentence Ordering in Electronic Navigational Chart Companion Text Generation—0
Set Interdependence Transformer: Set-to-Sequence Neural Networks for Permutation Learning and Structure Prediction—0
Topic-Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information—0
Towards Coherent Multi-Document Summarization—0
Specificity-Based Sentence Ordering for Multi-Document Extractive Risk Summarization—0
Graph-based Neural Sentence OrderingCode0
Formulating Neural Sentence Ordering as the Asymmetric Traveling Salesman ProblemCode0
EconLogicQA: A Question-Answering Benchmark for Evaluating Large Language Models in Economic Sequential ReasoningCode0
Text Coherence Analysis Based on Deep Neural NetworkCode0
Non-Autoregressive Sentence OrderingCode0
A Neural Graph-based Local Coherence ModelCode0
OrderSum: Semantic Sentence Ordering for Extractive SummarizationCode0
Partially Shuffling the Training Data to Improve Language ModelsCode0
PhysNLU: A Language Resource for Evaluating Natural Language Understanding and Explanation Coherence in PhysicsCode0
Local and Global Context-Based Pairwise Models for Sentence OrderingCode0
Burn After Reading: Do Multimodal Large Language Models Truly Capture Order of Events in Image Sequences?Code0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GPT-4-TurboAccuracy0.57—Unverified
2GPT-4Accuracy0.55—Unverified
3GPT-3.5-TurboAccuracy0.38—Unverified
4Llama-3-8B-InstructAccuracy0.35—Unverified
5Mistral-7B-Instruct-v0.2Accuracy0.32—Unverified
6Mistral-7B-v0.2Accuracy0.26—Unverified
7Mistral-7B-v0.1Accuracy0.26—Unverified
8Llama-3-8BAccuracy0.24—Unverified
9Zephyr-7B-AlphaAccuracy0.23—Unverified
10Yi-6B-ChatAccuracy0.21—Unverified