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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 2701–2750 of 5335 papers

TitleStatusHype
Discrete Diffusion Language Model for Long Text Summarization—0
Discrete Structural Planning for Generating Diverse Translations—0
Discrete Structural Planning for Neural Machine Translation—0
Discrete Structural Planning for Neural Machine Translation—0
Discrete Variational Attention Models for Language Generation—0
Improve Variational Autoencoder for Text Generationwith Discrete Latent Bottleneck—0
Discrimination between Similar Languages, Varieties and Dialects using CNN- and LSTM-based Deep Neural Networks—0
Discriminative Syntax-Based Word Ordering for Text Generation—0
Disentangled Generation Network for Enlarged License Plate Recognition and A Unified Dataset—0
Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation—0
DISLOG: A logic-based language for processing discourse structures—0
Dispersed EM-VAEs for Interpretable Text Generation—0
Positioning yourself in the maze of Neural Text Generation: A Task-Agnostic Survey—0
Distilling semantically aware orders for autoregressive image generation—0
Distinctive Similarity of Clausal Coordinate Ellipsis in Russian Compared to Dutch, Estonian, German, and Hungarian—0
Distinctive Slogan Generation with Reconstruction—0
Distributional Information Embedding: A Framework for Multi-bit Watermarking—0
Distribution Aware Metrics for Conditional Natural Language Generation—0
Divergent Token Metrics: Measuring degradation to prune away LLM components -- and optimize quantization—0
Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers—0
Diversifying Neural Text Generation with Part-of-Speech Guided Softmax and Sampling—0
Diversity as a By-Product: Goal-oriented Language Generation Leads to Linguistic Variation—0
Diversity Enhanced Table-to-Text Generation via Type Control—0
Diversity of Thought Elicits Stronger Reasoning Capabilities in Multi-Agent Debate Frameworks—0
DLGNet-Task: An End-to-end Neural Network Framework for Modeling Multi-turn Multi-domain Task-Oriented Dialogue—0
Do Captioning Metrics Reflect Music Semantic Alignment?—0
DocChat: An Information Retrieval Approach for Chatbot Engines Using Unstructured Documents—0
DOCCI: Descriptions of Connected and Contrasting Images—0
Doctoral Advisor or Medical Condition: Towards Entity-specific Rankings of Knowledge Base Properties [Extended Version]—0
Document Level Hierarchical Transformer—0
Do DALL-E and Flamingo Understand Each Other?—0
Do dependency parsing metrics correlate with human judgments?—0
Does a Large Language Model Really Speak in Human-Like Language?—0
Does Meta-learning Help mBERT for Few-shot Question Generation in a Cross-lingual Transfer Setting for Indic Languages?—0
Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning—0
Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates—0
Do Large Language Models Judge Error Severity Like Humans?—0
Do Large Language Models Know about Facts?—0
Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SCICAP Challenge 2023—0
Dolphin: A Challenging and Diverse Benchmark for Arabic NLG—0
Domain Adaptable Semantic Clustering in Statistical NLG—0
Domain-Specific Image Captioning—0
Don't Forget About Pronouns: Removing Gender Bias in Language Models Without Losing Factual Gender Information—0
Don’t Forget About Pronouns: Removing Gender Bias in Language Models without Losing Factual Gender Information—0
Don’t Forget About Pronouns: Removing Gender Bias in Language Models Without Losing Factual Gender Information—0
Don't Mention the Shoe! A Learning to Rank Approach to Content Selection for Image Description Generation—0
Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation—0
DORB: Dynamically Optimizing Multiple Rewards with Bandits—0
DORE: A Dataset For Portuguese Definition Generation—0
DOSA: A Dataset of Social Artifacts from Different Indian Geographical Subcultures—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