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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3151–3200 of 5335 papers

TitleStatusHype
Deconstructing NLG Evaluation: Evaluation Practices, Assumptions, and Their Implications—0
Arithmetic-Based Pretraining -- Improving Numeracy of Pretrained Language ModelsCode0
Near-Negative Distinction: Giving a Second Life to Human Evaluation DatasetsCode0
Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in SummarizationCode0
Efficient and Training-Free Control of Language Generation—0
RoViST:Learning Robust Metrics for Visual StorytellingCode0
Attract me to Buy: Advertisement Copywriting Generation with Multimodal Multi-structured Information—0
Robust Conversational Agents against Imperceptible Toxicity TriggersCode0
Towards Robust and Semantically Organised Latent Representations for Unsupervised Text Style TransferCode0
Provably Confidential Language ModellingCode0
Adversarial Training for High-Stakes Reliability—0
Zero-shot Sonnet Generation with Discourse-level Planning and Aesthetics FeaturesCode0
Data-driven emotional body language generation for social roboticsCode0
QiuNiu: A Chinese Lyrics Generation System with Passage-Level Input—0
How Do Seq2Seq Models Perform on End-to-End Data-to-Text Generation?Code0
Improving Controllable Text Generation with Position-Aware Weighted Decoding—0
On Controlling Fallback Responses for Grounded Dialogue Generation—0
Hierarchical Recurrent Aggregative Generation for Few-Shot NLG—0
Learning to Rank Visual Stories From Human Ranking DataCode0
Attention as Grounding: Exploring Textual and Cross-Modal Attention on Entities and Relations in Language-and-Vision TransformerCode0
Learning Reasoning Patterns for Relational Triple Extraction with Mutual Generation of Text and Graph—0
Rewarding Semantic Similarity under Optimized Alignments for AMR-to-Text Generation—0
CaM-Gen: Causally Aware Metric-Guided Text Generation—0
What Makes Good In-Context Examples for GPT-3?—0
Plug-and-Play Controller for Story Completion: A Pilot Study toward Emotion-aware Story Writing Assistance—0
Can Pretrained Language Models Generate Persuasive, Faithful, and Informative Ad Text for Product Descriptions?—0
On Target Representation in Continuous-output Neural Machine Translation—0
Hybrid Semantics for Goal-Directed Natural Language Generation—0
High probability or low information? The probability–quality paradox in language generation—0
The Pure Poet: How Good is the Subjective Credibility and Stylistic Quality of Literary Short Texts Written with an Artificial Intelligence Tool as Compared to Texts Written by Human Authors?—0
BERT 4EVER@LT-EDI-ACL2022-Detecting signs of Depression from Social Media:Detecting Depression in Social Media using Prompt-Learning and Word-Emotion Cluster—0
Controlled Text Generation Using Dictionary Prior in Variational Autoencoders—0
FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metrics for Automatic Text Generation—0
uFACT: Unfaithful Alien-Corpora Training for Semantically Consistent Data-to-Text Generation—0
Leveraging Seq2seq Language Generation for Multi-level Product Issue Identification—0
Knowledge-Augmented Methods for Natural Language Processing—0
Debiasing Pre-Trained Language Models via Efficient Fine-TuningCode0
Improving Specificity in Review Response Generation with Data-Driven Data FilteringCode0
Detoxifying Language Models with a Toxic Corpus—0
Handling and Presenting Harmful Text in NLP Research—0
Tailor: A Prompt-Based Approach to Attribute-Based Controlled Text Generation—0
Building Knowledge-Grounded Dialogue Systems with Graph-Based Semantic Modeling—0
SkillNet-NLG: General-Purpose Natural Language Generation with a Sparsely Activated Approach—0
Crystal Transformer: Self-learning neural language model for Generative and Tinkering Design of Materials—0
Estimating the Personality of White-Box Language Models—0
Spurious Correlations in Reference-Free Evaluation of Text Generation—0
Event Transition Planning for Open-ended Text GenerationCode0
Context-Aware Language Modeling for Goal-Oriented Dialogue Systems—0
AfriWOZ: Corpus for Exploiting Cross-Lingual Transferability for Generation of Dialogues in Low-Resource, African Languages—0
Evaluating Mixed-initiative Conversational Search Systems via User SimulationCode0
Show:102550
← PrevPage 64 of 107Next →
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