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 1–25 of 50 papers

TitleStatusHype
Is Everything in Order? A Simple Way to Order SentencesCode1
GECko+: a Grammatical and Discourse Error Correction ToolCode1
Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path PredictionCode1
Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise OrderingsCode1
Sentence Ordering and Coherence Modeling using Recurrent Neural NetworksCode1
STaCK: Sentence Ordering with Temporal Commonsense KnowledgeCode1
Topological Sort for Sentence OrderingCode1
Positional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic ModelsCode1
Are Large Language Models Temporally Grounded?Code1
Neural Sentence Ordering Based on Constraint GraphsCode1
On Losses for Modern Language ModelsCode1
Deep Attentive Sentence Ordering Network—0
Discourse-Aware Neural Rewards for Coherent Text Generation—0
Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues—0
End-to-End Neural Sentence Ordering Using Pointer Network—0
Evaluating Text Coherence at Sentence and Paragraph Levels—0
Extraction Meets Abstraction: Ideal Answer Generation for Biomedical Questions—0
InsertGNN: Can Graph Neural Networks Outperform Humans in TOEFL Sentence Insertion Problem?—0
基于子词级别词向量和指针网络的朝鲜语句子排序(Korean Sentence Ordering Based on Sub Word Level Word Vector and Pointer Network)—0
Learning Sentence Ordering for Opinion Generation of Debate—0
Neural Sentence Ordering—0
Using BERT Encoding and Sentence-Level Language Model for Sentence Ordering—0
An entity-driven recursive neural network model for chinese discourse coherence modeling—0
A New Sentence Ordering Method Using BERT Pretrained Model—0
A Simple yet Effective Method for Sentence Ordering—0
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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