Text Generation

Text Generation is the task of generating text with the goal of appearing indistinguishable to human-written text. This task is more formally known as "natural language generation" in the literature.

Text generation can be addressed with Markov processes or deep generative models like LSTMs. Recently, some of the most advanced methods for text generation include BART, GPT and other GAN-based approaches. Text generation systems are evaluated either through human ratings or automatic evaluation metrics like METEOR, ROUGE, and BLEU.

Papers

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Showing 1111–1120 of 5335 papers

Title	Date	Tasks	Status	Score
Layer or Representation Space: What makes BERT-based Evaluation Metrics Robust?	Sep 6, 2022	Text GenerationWord Embeddings	CodeCode Available	5
LCTG Bench: LLM Controlled Text Generation Benchmark	Jan 27, 2025	Text Generation	CodeCode Available	5
Large Language Models in Computer Science Education: A Systematic Literature Review	Oct 21, 2024	Code GenerationSystematic Literature Review	CodeCode Available	5
Large Language Models Engineer Too Many Simple Features For Tabular Data	Oct 23, 2024	Feature EngineeringText Generation	CodeCode Available	5
Large Scale Multi-Lingual Multi-Modal Summarization Dataset	Feb 13, 2023	ArticlesDecoder	CodeCode Available	5
Large Language Models as Sous Chefs: Revising Recipes with GPT-3	Jun 24, 2023	Text Generation	CodeCode Available	5
Large-Scale Transfer Learning for Natural Language Generation	Jul 1, 2019	Open-Domain DialogText Generation	CodeCode Available	5
Adaptively Clustering Neighbor Elements for Image-Text Generation	Jan 5, 2023	ClusteringDecoder	CodeCode Available	5
Language Models can Evaluate Themselves via Probability Discrepancy	May 17, 2024	Text Generation	CodeCode Available	5
Language Model Sentence Completion with a Parser-Driven Rhetorical Control Method	Feb 9, 2024	Language ModelingLanguage Modelling	CodeCode Available	5

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All datasets DART COCO Captions EMNLP2017 WMT ReDial CommonGen ROCStories Chinese Poems Czech restaurant information OpenWebText SciQ Yahoo Questions ADGEN

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	T5B Baseline	BLEU	48.74	—	Unverified
2	FactT5B	BLEU	48.37	—	Unverified
3	JointGT Baseline	BLEU	47.51	—	Unverified
4	FactJointGT	BLEU	47.39	—	Unverified
5	Control Prefixes (T5-large)	METEOR	0.41	—	Unverified
6	T5	METEOR	0.12	—	Unverified
7	BART	METEOR	0.11	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LeakGAN	BLEU-2	0.95	—	Unverified
2	partGAN	BLEU-2	0.91	—	Unverified
3	RankGAN	BLEU-2	0.85	—	Unverified
4	RelGAN (100)	BLEU-2	0.85	—	Unverified
5	SeqGAN	BLEU-2	0.83	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LeakGAN	BLEU-2	0.96	—	Unverified
2	PPOGAN	BLEU-2	0.91	—	Unverified
3	RelGAN	BLEU-2	0.88	—	Unverified
4	SeqGAN	BLEU-2	0.86	—	Unverified
5	RankGAN	BLEU-2	0.78	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UniCRS	Distinct-3	0.65	—	Unverified
2	CRFR	Distinct-3	0.52	—	Unverified
3	KGSF	Distinct-3	0.43	—	Unverified
4	C2CRS	Distinct-3	0.33	—	Unverified
5	KBRD	Distinct-3	0.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UniLM	CIDEr	14.92	—	Unverified
2	BART (TextBox 2.0)	CIDEr	12.98	—	Unverified
3	BART	METEOR	0.3	—	Unverified
4	T5	METEOR	0.29	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Beam search + A*esque (beam)	BLEU-1	34.4	—	Unverified
2	Beam search + A*esque (sample)	BLEU-1	34.4	—	Unverified
3	Beam search + A*esque (greedy)	BLEU-1	34.3	—	Unverified
4	Beam search	BLEU-1	33.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RankGAN	BLEU-2	0.81	—	Unverified
2	SeqGAN	BLEU-2	0.74	—	Unverified
3	LeakGAN	BLEU-2	0.46	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TGen++	METEOR	0.17	—	Unverified
2	TGen	METEOR	0.15	—	Unverified
3	TGen+	METEOR	0.15	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GPT2-124M	eval_loss	3.12	—	Unverified
2	GPT2-81M-LOOP	eval_loss	3.11	—	Unverified
3	GPT2-Hermite	eval_loss	2.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LLaMA-65B+CFG (zero-shot)	Accuracy	96.6	—	Unverified
2	LLaMA-30B+CFG (zero-shot)	Accuracy	96.4	—	Unverified
3	LLaMA-13B+CFG (zero-shot)	Accuracy	95.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CNN-VAE	NLL	332.1	—	Unverified
2	SA-VAE	NLL	327.5	—	Unverified
3	Aggressive VAE	NLL	326.7	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BART (TextBox 2.0)	BLEU-4	10.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	STWGAN-GP	BLEU-3	0.62	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PALM	ROUGE-L	41.41	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BART (TextBox 2.0)	ROUGE-L	64.34	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AEM+Attention	BLEU-1	14.17	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GPT-4	ASR	65.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BART (TextBox 2.0)	ROUGE-L	42.96	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Graph2Seq	BLEU	22	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	WGANGP + DGflow	JS-4	0.19	—	Unverified