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 2501–2510 of 5335 papers

Title	Date	Tasks	Status
Introducing Syllable Tokenization for Low-resource Languages: A Case Study with Swahili	Mar 26, 2024	Multilingual NLPText Generation	—Unverified
Improving Explainable Recommendations with Synthetic Reviews	Jul 18, 2018	Language Model EvaluationLanguage Modeling	—Unverified
``Hidden semantics'': what can we learn from the names in an ontology?	May 1, 2012	Text Generation	—Unverified
Improving Factual Consistency of Text Summarization by Adversarially Decoupling Comprehension and Embellishment Abilities of LLMs	Oct 30, 2023	ArticlesText Generation	—Unverified
Heterogeneous Graph Transformer for Graph-to-Sequence Learning	Jul 1, 2020	AMR-to-Text GenerationGraph-to-Sequence	—Unverified
Improving Factuality of 3D Brain MRI Report Generation with Paired Image-domain Retrieval and Text-domain Augmentation	Nov 23, 2024	Cross-Modal RetrievalImage to text	—Unverified
Co-PoeTryMe: a Co-Creative Interface for the Composition of Poetry	Sep 1, 2017	Text Generation	—Unverified
Curriculum Learning Based on Reward Sparseness for Deep Reinforcement Learning of Task Completion Dialogue Management	Oct 1, 2018	Deep Reinforcement LearningDialogue Management	—Unverified
QET: Enhancing Quantized LLM Parameters and KV cache Compression through Element Substitution and Residual Clustering	Jul 4, 2024	Computational EfficiencyEdge-computing	—Unverified
Cool-Fusion: Fuse Large Language Models without Training	Jul 29, 2024	Combinatorial OptimizationGSM8K	—Unverified

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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