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 2651–2700 of 5335 papers

TitleStatusHype
Learning Natural Language Generation with Truncated Reinforcement LearningCode0
Aligning Generative Language Models with Human Values—0
Don’t Take It Literally: An Edit-Invariant Sequence Loss for Text GenerationCode0
Uncovering Surprising Event Boundaries in Narratives—0
RoViST: Learning Robust Metrics for Visual StorytellingCode0
Cross-Domain Detection of GPT-2-Generated Technical TextCode0
The Case for a Single Model that can Both Generate Continuations and Fill-in-the-Blank—0
Is neural language acquisition similar to natural? A chronological probing studyCode0
Democratizing Ethical Assessment of Natural Language Generation Models—0
Flexible text generation for counterfactual fairness probing—0
Joint Generator-Ranker Learning for Natural Language GenerationCode1
On Comparison of Encoders for Attention based End to End Speech Recognition in Standalone and Rescoring Mode—0
Evaluation of Semantic Answer Similarity MetricsCode0
Unraveling the Mystery of Artifacts in Machine Generated TextCode0
MVP: Multi-task Supervised Pre-training for Natural Language GenerationCode1
Understanding the Properties of Generated Corpora—0
GEMv2: Multilingual NLG Benchmarking in a Single Line of CodeCode1
BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic ParsingCode1
Don't Forget About Pronouns: Removing Gender Bias in Language Models Without Losing Factual Gender Information—0
Plug and Play Counterfactual Text Generation for Model Robustness—0
Automatic Controllable Product Copywriting for E-CommerceCode1
A Langevin-like Sampler for Discrete DistributionsCode1
Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt LearningCode1
Automatic Summarization of Russian Texts: Comparison of Extractive and Abstractive Methods—0
Argumentative Text Generation in Economic DomainCode0
Collocation2Text: Controllable Text Generation from Guide Phrases in Russian—0
niksss at HinglishEval: Language-agnostic BERT-based Contextual Embeddings with Catboost for Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish TextCode0
DIALOG-22 RuATD Generated Text DetectionCode0
Interpretable AMR-Based Question Decomposition for Multi-hop Question Answering—0
Write and Paint: Generative Vision-Language Models are Unified Modal LearnersCode1
Text Generation with Text-Editing Models—0
An Exploration of Post-Editing Effectiveness in Text Summarization—0
On the Learning of Non-Autoregressive Transformers—0
Grounding in social media: An approach to building a chit-chat dialogue model—0
Why is constrained neural language generation particularly challenging?—0
Bridging the Gap Between Training and Inference of Bayesian Controllable Language Models—0
Factuality Enhanced Language Models for Open-Ended Text GenerationCode5
The Case for a Single Model that can Both Generate Continuations and Fill in the Blank—0
Proactively Reducing the Hate Intensity of Online Posts via Hate Speech NormalizationCode1
LegoNN: Building Modular Encoder-Decoder Models—0
A Benchmark for Federated Hetero-Task Learning—0
Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval—0
Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text GenerationCode0
Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text GenerationCode1
Offline RL for Natural Language Generation with Implicit Language Q LearningCode2
Understanding EFL Student Idea Generation Strategies for Creative Writing with NLG Tools—0
Automatic Generation of Programming Exercises and Code Explanations using Large Language Models—0
Beyond Opinion Mining: Summarizing Opinions of Customer ReviewsCode1
Disentangled Generation Network for Enlarged License Plate Recognition and A Unified Dataset—0
Handling Idioms in Symbolic Multilingual 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 (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