SOTAVerified

Sentence Ordering

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

Papers

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Showing 21–30 of 50 papers

TitleStatusHype
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
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
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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