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
Are Large Language Models Temporally Grounded?Code1
Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path PredictionCode1
Positional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic ModelsCode1
Improving Graph-based Sentence Ordering with Iteratively Predicted Pairwise OrderingsCode1
STaCK: Sentence Ordering with Temporal Commonsense KnowledgeCode1
GECko+: a Grammatical and Discourse Error Correction ToolCode1
Is Everything in Order? A Simple Way to Order SentencesCode1
Neural Sentence Ordering Based on Constraint GraphsCode1
On Losses for Modern Language ModelsCode1
Topological Sort for Sentence OrderingCode1
Sentence Ordering and Coherence Modeling using Recurrent Neural NetworksCode1
Burn After Reading: Do Multimodal Large Language Models Truly Capture Order of Events in Image Sequences?Code0
OrderSum: Semantic Sentence Ordering for Extractive SummarizationCode0
EconLogicQA: A Question-Answering Benchmark for Evaluating Large Language Models in Economic Sequential ReasoningCode0
Non-Autoregressive Sentence OrderingCode0
Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues—0
Set Interdependence Transformer: Set-to-Sequence Neural Networks for Permutation Learning and Structure Prediction—0
Pruned Graph Neural Network for Short Story Ordering—0
PhysNLU: A Language Resource for Evaluating Natural Language Understanding and Explanation Coherence in PhysicsCode0
Assessing the Coherence Modeling Capabilities of Pretrained Transformer-based Language Models—0
A Neural Graph-based Local Coherence ModelCode0
Local and Global Context-Based Pairwise Models for Sentence OrderingCode0
A New Sentence Ordering Method Using BERT Pretrained Model—0
Using BERT Encoding and Sentence-Level Language Model for Sentence Ordering—0
Formulating Neural Sentence Ordering as the Asymmetric Traveling Salesman ProblemCode0
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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