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.

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( Image credit: Adversarial Ranking for Language Generation )

Papers

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Showing 2801–2850 of 5335 papers

TitleStatusHype
Emotion and Sentiment Guided Paraphrasing—0
Emotion-Conditioned Text Generation through Automatic Prompt Optimization—0
Emotion Style Transfer with a Specified Intensity Using Deep Reinforcement Learning—0
Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging—0
Empirical Determination of Basic Heuristics for Narrative Content Planning—0
Empirical Study of Large Language Models as Automated Essay Scoring Tools in English Composition__Taking TOEFL Independent Writing Task for Example—0
Empirical Validation of Reichenbach's Tense Framework—0
Empowering Backbone Models for Visual Text Generation with Input Granularity Control and Glyph-Aware Training—0
Enabling Language Models to Implicitly Learn Self-Improvement—0
Structured Chain-of-Thought Prompting for Code Generation—0
Enabling Efficient On-Device Fine-Tuning of LLMs Using Only Inference Engines—0
Enabling text readability awareness during the micro planning phase of NLG applications—0
Enabling Transitivity for Lexical Inference on Chinese Verbs Using Probabilistic Soft Logic—0
End-to-end argumentation knowledge graph construction—0
End-to-end Argument Generation System in Debating—0
A Generative Marker Enhanced End-to-End Framework for Argument Mining—0
End-to-end Concept Word Detection for Video Captioning, Retrieval, and Question Answering—0
End-to-End Differentiable GANs for Text Generation—0
End-to-end Image Captioning Exploits Multimodal Distributional Similarity—0
End-to-End Segmentation-based News Summarization—0
End-to-End Trainable Retrieval-Augmented Generation for Relation Extraction—0
Energy-Based Diffusion Language Models for Text Generation—0
Energy-Based Models with Applications to Speech and Language Processing—0
Energy-Conscious LLM Decoding: Impact of Text Generation Strategies on GPU Energy Consumption—0
Enhanced Modality Transition for Image Captioning—0
Enhanced Transformer Model for Data-to-Text Generation—0
Enhancing Annotated Bibliography Generation with LLM Ensembles—0
Enhancing Answer Attribution for Faithful Text Generation with Large Language Models—0
Enhancing Biomedical Text Summarization and Question-Answering: On the Utility of Domain-Specific Pre-Training—0
Enhancing Cohesion and Coherence of Fake Text to Improve Believability for Deceiving Cyber Attackers—0
Enhancing Data Privacy in Large Language Models through Private Association Editing—0
Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval—0
Enhancing Emotion Prediction in News Headlines: Insights from ChatGPT and Seq2Seq Models for Free-Text Generation—0
Advancing Precise Outline-Conditioned Text Generation with Task Duality and Explicit Outline Control—0
Enhancing Impression Change Prediction in Speed Dating Simulations Based on Speakers' Personalities—0
Enhancing Language Generation with Effective Checkpoints of Pre-trained Language Model—0
Enhancing Neural Data-To-Text Generation Models with External Background Knowledge—0
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System—0
Enhancing PTB Universal Dependencies for Grammar-Based Surface Realization—0
Enhancing Retrieval Processes for Language Generation with Augmented Queries—0
Enhancing Task-Specific Distillation in Small Data Regimes through Language Generation—0
Enhancing Text Generation in Joint NLG/NLU Learning Through Curriculum Learning, Semi-Supervised Training, and Advanced Optimization Techniques—0
Enhancing Text Generation with Inductive Event Reasoning—0
Enhancing the Expression of Contrast in the SPaRKy Restaurant Corpus—0
Enhancing Trust in Large Language Models with Uncertainty-Aware Fine-Tuning—0
Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation—0
Enhancing Visual Reliance in Text Generation: A Bayesian Perspective on Mitigating Hallucination in Large Vision-Language Models—0
Enriching and Controlling Global Semantics for Text Summarization—0
Ensemble Learning for Large Language Models in Text and Code Generation: A Survey—0
Ensembles and Cocktails: Robust Finetuning for Natural Language Generation—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