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

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Showing 2451–2500 of 5335 papers

TitleStatusHype
CORAL: Contextual Response Retrievability Loss Function for Training Dialog Generation Models—0
Hierarchical Skip Decoding for Efficient Autoregressive Text Generation—0
Image Description using Visual Dependency Representations—0
Image Semantic Relation Generation—0
Hierarchical Recurrent Aggregative Generation for Few-Shot NLG—0
ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation—0
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation—0
Hierarchical Recurrent Aggregative Generation for Few-Shot NLG—0
Automatically Ranked Russian Paraphrase Corpus for Text Generation—0
Imitation learning for language generation from unaligned data—0
Imitation learning for structured prediction in natural language processing—0
Immersive Text Game and Personality Classification—0
Intersectional Bias in Causal Language Models—0
Impact of Model Size on Fine-tuned LLM Performance in Data-to-Text Generation: A State-of-the-Art Investigation—0
Crowdsourcing Language Generation Templates for Dialogue Systems—0
Implicit Bias in LLMs: A Survey—0
Crowd-sourcing NLG Data: Pictures Elicit Better Data.—0
Implicit Kernel Learning—0
Crowd-sourcing NLG Data: Pictures Elicit Better Data—0
Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification—0
Hierarchically-Structured Variational Autoencoders for Long Text Generation—0
A Multi-language Platform for Generating Algebraic Mathematical Word Problems—0
(Im)possibility of Automated Hallucination Detection in Large Language Models—0
Improved Beam Search for Hallucination Mitigation in Abstractive Summarization—0
CSECU-DSG at SemEval-2021 Task 1: Fusion of Transformer Models for Lexical Complexity Prediction—0
Improve Diverse Text Generation by Self Labeling Conditional Variational Auto Encoder—0
Improved Natural Language Generation via Loss Truncation—0
Improved Training of Mixture-of-Experts Language GANs—0
Improved Unbiased Watermark for Large Language Models—0
Conditional Text Generation for Harmonious Human-Machine Interaction—0
Hierarchical Implicit Models and Likelihood-Free Variational Inference—0
Improvement in Machine Translation with Generative Adversarial Networks—0
Improving Abstraction in Text Summarization—0
Improving Abstractive Summarization with Commonsense Knowledge—0
Hierarchical Contextual Manifold Alignment for Structuring Latent Representations in Large Language Models—0
Improving Adversarial Text Generation with n-Gram Matching—0
Improving Attributed Text Generation of Large Language Models via Preference Learning—0
Improving Autoregressive Training with Dynamic Oracles—0
Inner-Probe: Discovering Copyright-related Data Generation in LLM Architecture—0
A Disease Labeler for Chinese Chest X-Ray Report Generation—0
Intertwining CP and NLP: The Generation of Unreasonably Constrained Sentences—0
Improving Compositional Generalization with Self-Training for Data-to-Text Generation—0
Improving Compositional Generalization with Self-Training for Data-to-Text Generation—0
Improving Controllable Text Generation with Position-Aware Weighted Decoding—0
Automatically Generating Rhythmic Verse with Neural Networks—0
Interactive Text Generation—0
``Hidden semantics'': what can we learn from the names in an ontology?—0
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance—0
Heterogeneous Graph Transformer for Graph-to-Sequence Learning—0
Co-PoeTryMe: a Co-Creative Interface for the Composition of Poetry—0
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All datasetsDARTCOCO CaptionsEMNLP2017 WMTReDialCommonGenROCStoriesChinese PoemsCzech restaurant informationOpenWebTextSciQYahoo QuestionsADGEN

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1T5B BaselineBLEU48.74—Unverified
2FactT5BBLEU48.37—Unverified
3JointGT BaselineBLEU47.51—Unverified
4FactJointGTBLEU47.39—Unverified
5Control Prefixes (T5-large)METEOR0.41—Unverified
6T5METEOR0.12—Unverified
7BARTMETEOR0.11—Unverified
#ModelMetricClaimedVerifiedStatus
1LeakGANBLEU-20.95—Unverified
2partGANBLEU-20.91—Unverified
3RankGANBLEU-20.85—Unverified
4RelGAN (100)BLEU-20.85—Unverified
5SeqGANBLEU-20.83—Unverified
#ModelMetricClaimedVerifiedStatus
1LeakGANBLEU-20.96—Unverified
2PPOGANBLEU-20.91—Unverified
3RelGANBLEU-20.88—Unverified
4SeqGANBLEU-20.86—Unverified
5RankGANBLEU-20.78—Unverified
#ModelMetricClaimedVerifiedStatus
1UniCRSDistinct-30.65—Unverified
2CRFRDistinct-30.52—Unverified
3KGSFDistinct-30.43—Unverified
4C2CRSDistinct-30.33—Unverified
5KBRDDistinct-30.3—Unverified
#ModelMetricClaimedVerifiedStatus
1UniLMCIDEr14.92—Unverified
2BART (TextBox 2.0)CIDEr12.98—Unverified
3BARTMETEOR0.3—Unverified
4T5METEOR0.29—Unverified
#ModelMetricClaimedVerifiedStatus
1Beam search + A*esque (sample)BLEU-134.4—Unverified
2Beam search + A*esque (beam)BLEU-134.4—Unverified
3Beam search + A*esque (greedy)BLEU-134.3—Unverified
4Beam searchBLEU-133.7—Unverified
#ModelMetricClaimedVerifiedStatus
1RankGANBLEU-20.81—Unverified
2SeqGANBLEU-20.74—Unverified
3LeakGANBLEU-20.46—Unverified
#ModelMetricClaimedVerifiedStatus
1TGen++METEOR0.17—Unverified
2TGenMETEOR0.15—Unverified
3TGen+METEOR0.15—Unverified
#ModelMetricClaimedVerifiedStatus
1GPT2-124Meval_loss3.12—Unverified
2GPT2-81M-LOOPeval_loss3.11—Unverified
3GPT2-Hermiteeval_loss2.91—Unverified
#ModelMetricClaimedVerifiedStatus
1LLaMA-65B+CFG (zero-shot)Accuracy96.6—Unverified
2LLaMA-30B+CFG (zero-shot)Accuracy96.4—Unverified
3LLaMA-13B+CFG (zero-shot)Accuracy95.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CNN-VAENLL332.1—Unverified
2SA-VAENLL327.5—Unverified
3Aggressive VAENLL326.7—Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)BLEU-410.2—Unverified
#ModelMetricClaimedVerifiedStatus
1STWGAN-GPBLEU-30.62—Unverified
#ModelMetricClaimedVerifiedStatus
1PALMROUGE-L41.41—Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)ROUGE-L64.34—Unverified
#ModelMetricClaimedVerifiedStatus
1AEM+AttentionBLEU-114.17—Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-4ASR65.1—Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)ROUGE-L42.96—Unverified
#ModelMetricClaimedVerifiedStatus
1Graph2SeqBLEU22—Unverified
#ModelMetricClaimedVerifiedStatus
1WGANGP + DGflowJS-40.19—Unverified