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 2601–2650 of 5335 papers

TitleStatusHype
Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels—0
Dynamic Observation Policies in Observation Cost-Sensitive Reinforcement LearningCode0
SkipDecode: Autoregressive Skip Decoding with Batching and Caching for Efficient LLM Inference—0
Zero-Shot Dense Video Captioning by Jointly Optimizing Text and Moment—0
Deductive Additivity for Planning of Natural Language ProofsCode0
Knowledge Graph for NLG in the context of conversational agents—0
Knowledge-Aware Audio-Grounded Generative Slot Filling for Limited Annotated Data—0
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review—0
VOLTA: Improving Generative Diversity by Variational Mutual Information Maximizing Autoencoder—0
PatternGPT :A Pattern-Driven Framework for Large Language Model Text Generation—0
More for Less: Compact Convolutional Transformers Enable Robust Medical Image Classification with Limited Data—0
Stay on topic with Classifier-Free Guidance—0
The Future of AI-Assisted Writing—0
Joint Level Generation and Translation Using Gameplay Videos—0
Benchmarking Large Language Model Capabilities for Conditional Generation—0
Concept-Oriented Deep Learning with Large Language Models—0
You Can Generate It Again: Data-to-text Generation with Verification and Correction Prompting—0
Knowledge Graph-Augmented Korean Generative Commonsense Reasoning—0
PTVD: A Large-Scale Plot-Oriented Multimodal Dataset Based on Television DramasCode0
Self-Supervised Image Captioning with CLIP—0
Weakly Supervised Scene Text Generation for Low-resource Languages—0
IERL: Interpretable Ensemble Representation Learning -- Combining CrowdSourced Knowledge and Distributed Semantic Representations—0
Large Language Models as Sous Chefs: Revising Recipes with GPT-3Code0
Public Attitudes Toward ChatGPT on Twitter: Sentiments, Topics, and OccupationsCode0
Natural Language Generation for Advertising: A Survey—0
Open-Domain Text Evaluation via Contrastive Distribution MethodsCode0
LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation—0
Unsupervised Text Embedding Space Generation Using Generative Adversarial Networks for Text SynthesisCode0
Empowering NLG: Offline Reinforcement Learning for Informal Summarization in Online DomainsCode0
KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text GenerationCode0
Semi-Offline Reinforcement Learning for Optimized Text GenerationCode0
Semi-supervised Relation Extraction via Data Augmentation and Consistency-training—0
Neural models for Factual Inconsistency Classification with ExplanationsCode0
Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health—0
DiffuDetox: A Mixed Diffusion Model for Text Detoxification—0
Unifying Large Language Models and Knowledge Graphs: A Roadmap—0
PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry GenerationCode0
Adding guardrails to advanced chatbots—0
SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking—0
Emotion and Sentiment Guided Paraphrasing—0
Absformer: Transformer-based Model for Unsupervised Multi-Document Abstractive Summarization—0
Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions—0
Injecting knowledge into language generation: a case study in auto-charting after-visit care instructions from medical dialogue—0
Towards End-to-end Speech-to-text SummarizationCode0
Correction of Errors in Preference Ratings from Automated Metrics for Text Generation—0
TwistList: Resources and Baselines for Tongue Twister GenerationCode0
Structured Voronoi SamplingCode0
Long Text Generation Challenge—0
Exposing Bias in Online Communities through Large-Scale Language Models—0
Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference—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