SOTAVerified

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.

Further readings:

( Image credit: Adversarial Ranking for Language Generation )

Papers

Showing 26762700 of 5335 papers

TitleStatusHype
SimpleNLG-TI: Adapting SimpleNLG to Tibetan0
SimpleStyle: An Adaptable Style Transfer Approach0
SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models0
Simplifying Sentences with Sequence to Sequence Models0
Simpson's Bias in NLP Training0
Simulated annealing for optimization of graphs and sequences0
'Since Lawyers are Males..': Examining Implicit Gender Bias in Hindi Language Generation by LLMs0
Single Example Can Improve Zero-Shot Data Generation0
Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation0
Sketch-to-Text Generation: Toward Contextual, Creative, and Coherent Composition0
SkillNet-NLG: General-Purpose Natural Language Generation with a Sparsely Activated Approach0
SkipDecode: Autoregressive Skip Decoding with Batching and Caching for Efficient LLM Inference0
Skip-Thought GAN: Generating Text through Adversarial Training using Skip-Thought Vectors0
Slot-consistent NLG for Task-oriented Dialogue Systems with Iterative Rectification Network0
Small But Funny: A Feedback-Driven Approach to Humor Distillation0
Småprat: DialoGPT for Natural Language Generation of Swedish Dialogue by Transfer Learning0
SMART: Sentences as Basic Units for Text Evaluation0
Smart To-Do : Automatic Generation of To-Do Items from Emails0
Smart To-Do: Automatic Generation of To-Do Items from Emails0
SMArT: Training Shallow Memory-aware Transformers for Robotic Explainability0
Social Biases in Automatic Evaluation Metrics for NLG0
Some Theoretical Insights into Wasserstein GANs0
Sometimes Painful but Certainly Promising: Feasibility and Trade-offs of Language Model Inference at the Edge0
Sonnet Generation by Training on Non-poetic Texts with Discourse-level Coherence and Poetic Features0
Sounding Board: A User-Centric and Content-Driven Social Chatbot0
Show:102550
← PrevPage 108 of 214Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1T5B BaselineBLEU48.74Unverified
2FactT5BBLEU48.37Unverified
3JointGT BaselineBLEU47.51Unverified
4FactJointGTBLEU47.39Unverified
5Control Prefixes (T5-large)METEOR0.41Unverified
6T5METEOR0.12Unverified
7BARTMETEOR0.11Unverified
#ModelMetricClaimedVerifiedStatus
1LeakGANBLEU-20.95Unverified
2partGANBLEU-20.91Unverified
3RankGANBLEU-20.85Unverified
4RelGAN (100)BLEU-20.85Unverified
5SeqGANBLEU-20.83Unverified
#ModelMetricClaimedVerifiedStatus
1LeakGANBLEU-20.96Unverified
2PPOGANBLEU-20.91Unverified
3RelGANBLEU-20.88Unverified
4SeqGANBLEU-20.86Unverified
5RankGANBLEU-20.78Unverified
#ModelMetricClaimedVerifiedStatus
1UniCRSDistinct-30.65Unverified
2CRFRDistinct-30.52Unverified
3KGSFDistinct-30.43Unverified
4C2CRSDistinct-30.33Unverified
5KBRDDistinct-30.3Unverified
#ModelMetricClaimedVerifiedStatus
1UniLMCIDEr14.92Unverified
2BART (TextBox 2.0)CIDEr12.98Unverified
3BARTMETEOR0.3Unverified
4T5METEOR0.29Unverified
#ModelMetricClaimedVerifiedStatus
1Beam search + A*esque (sample)BLEU-134.4Unverified
2Beam search + A*esque (beam)BLEU-134.4Unverified
3Beam search + A*esque (greedy)BLEU-134.3Unverified
4Beam searchBLEU-133.7Unverified
#ModelMetricClaimedVerifiedStatus
1RankGANBLEU-20.81Unverified
2SeqGANBLEU-20.74Unverified
3LeakGANBLEU-20.46Unverified
#ModelMetricClaimedVerifiedStatus
1TGen++METEOR0.17Unverified
2TGenMETEOR0.15Unverified
3TGen+METEOR0.15Unverified
#ModelMetricClaimedVerifiedStatus
1GPT2-124Meval_loss3.12Unverified
2GPT2-81M-LOOPeval_loss3.11Unverified
3GPT2-Hermiteeval_loss2.91Unverified
#ModelMetricClaimedVerifiedStatus
1LLaMA-65B+CFG (zero-shot)Accuracy96.6Unverified
2LLaMA-30B+CFG (zero-shot)Accuracy96.4Unverified
3LLaMA-13B+CFG (zero-shot)Accuracy95.1Unverified
#ModelMetricClaimedVerifiedStatus
1CNN-VAENLL332.1Unverified
2SA-VAENLL327.5Unverified
3Aggressive VAENLL326.7Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)BLEU-410.2Unverified
#ModelMetricClaimedVerifiedStatus
1STWGAN-GPBLEU-30.62Unverified
#ModelMetricClaimedVerifiedStatus
1PALMROUGE-L41.41Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)ROUGE-L64.34Unverified
#ModelMetricClaimedVerifiedStatus
1AEM+AttentionBLEU-114.17Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-4ASR65.1Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)ROUGE-L42.96Unverified
#ModelMetricClaimedVerifiedStatus
1Graph2SeqBLEU22Unverified
#ModelMetricClaimedVerifiedStatus
1WGANGP + DGflowJS-40.19Unverified