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Text Summarization On Samsum Corpus

Metrics

ROUGE-1

ROUGE-L

Results

Performance results of various models on this benchmark

			Paper Title	Repository
OmniVec2	59.1	63.7	OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning	-
MoCa	55.13	50.88	Momentum Calibration for Text Generation	-
SICK	53.73	49.5	Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization
HAT-CNNDM RL	-	48.84	Hierarchical Learning for Generation with Long Source Sequences	-
InstructDS	55.3	46.7	Instructive Dialogue Summarization with Query Aggregations
PEGASUS 2B + SliC	54.37	45.89	Calibrating Sequence likelihood Improves Conditional Language Generation	-
ConDigSum	54.3	45.2	Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization
BART-Large	52.6	42.1	Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization
CriSPO 3-shot	47.2	38.2	CriSPO: Multi-Aspect Critique-Suggestion-guided Automatic Prompt Optimization for Text Generation
Mistral 7B + SigExt	44.1	33.9	Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization
GPT-4o (HPT)	-	30	Hierarchical Prompting Taxonomy: A Universal Evaluation Framework for Large Language Models
HAT-CNNDM	53.01	-	Hierarchical Learning for Generation with Long Source Sequences	-

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Text Summarization On Samsum Corpus | SOTA | HyperAI