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 4001–4050 of 5335 papers

TitleStatusHype
Content Selection in Data-to-Text Systems: A Survey—0
Content Selection through Paraphrase Detection: Capturing different Semantic Realisations of the Same Idea—0
Context-Aware Language Modeling for Goal-Oriented Dialogue Systems—0
Context-Aware Language Modeling for Goal-Oriented Dialogue Systems—0
Context-aware Natural Language Generation for Spoken Dialogue Systems—0
Context-Aware Semantic Recomposition Mechanism for Large Language Models—0
Context based Text-generation using LSTM networks—0
Context-Enhanced Language Models for Generating Multi-Paper Citations—0
Hidden in Plain Sight: Exploring Chat History Tampering in Interactive Language Models—0
Context Matters in Semantically Controlled Language Generation for Task-oriented Dialogue Systems—0
Context-Preserving Gradient Modulation for Large Language Models: A Novel Approach to Semantic Consistency in Long-Form Text Generation—0
Context-sensitive Natural Language Generation for robot-assisted second language tutoring—0
Contextual Chart Generation for Cyber Deception—0
Contextual Compression Encoding for Large Language Models: A Novel Framework for Multi-Layered Parameter Space Pruning—0
Contextualization of Morphological Inflection—0
Contextualizing Generated Citation Texts—0
Contextually Structured Token Dependency Encoding for Large Language Models—0
Contextual Memory Reweaving in Large Language Models Using Layered Latent State Reconstruction—0
Context Vectors are Reflections of Word Vectors in Half the Dimensions—0
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems—0
Continual Learning for Seq2Seq Generations with Transformer Calibration—0
Continuation is a Sub-Task of Fill in the Blank: Why Not Train for Both?—0
Continuous Measurement Scales in Human Evaluation of Machine Translation—0
Contrastive Data and Learning for Natural Language Processing—0
Contrastive Decoding Improves Reasoning in Large Language Models—0
Contrastive Learning with Counterfactual Explanations for Radiology Report Generation—0
Contrastive Perplexity for Controlled Generation: An Application in Detoxifying Large Language Models—0
ContrastScore: Towards Higher Quality, Less Biased, More Efficient Evaluation Metrics with Contrastive Evaluation—0
ConTReGen: Context-driven Tree-structured Retrieval for Open-domain Long-form Text Generation—0
CONTRIBUTION OF INTERNAL REFLECTION IN LANGUAGE EMERGENCE WITH AN UNDER-RESTRICTED SITUATION—0
Breaking Writer's Block: Low-cost Fine-tuning of Natural Language Generation Models—0
Controllable and Diverse Text Generation in E-commerce—0
Controllable Dialogue Generation with Disentangled Multi-grained Style Specification and Attribute Consistency Reward—0
Controllable Length Control Neural Encoder-Decoder via Reinforcement Learning—0
Controllable Meaning Representation to Text Generation: Linearization and Data Augmentation Strategies—0
Controllable Multi-document Summarization: Coverage & Coherence Intuitive Policy with Large Language Model Based Rewards—0
Controllable Natural Language Generation with Contrastive Prefixes—0
Controllable Natural Language Generation with Contrastive Prefixes—0
Controllable Neural Natural Language Generation: comparison of state-of-the-art control strategies—0
Controllable Text Generation for Open-Domain Creativity and Fairness—0
Controllable Text Generation in the Instruction-Tuning Era—0
Controllable Text Generation with Focused Variation—0
Controllable Text Generation with Language Constraints—0
Control Large Language Models via Divide and Conquer—0
Controlled Cue Generation for Play Scripts—0
Controlled Hallucinations: Learning to Generate Faithfully from Noisy Data—0
Controlled Natural Language Generation from a Multilingual FrameNet-based Grammar—0
Controlled Neural Sentence-Level Reframing of News Articles—0
Controlled Text Generation for Data Augmentation in Intelligent Artificial Agents—0
Controlled Text Generation Using Dictionary Prior in Variational Autoencoders—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 (beam)BLEU-134.4—Unverified
2Beam search + A*esque (sample)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