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 3101–3150 of 5335 papers

TitleStatusHype
Tree-Structured Semantic Encoder with Knowledge Sharing for Domain Adaptation in Natural Language Generation—0
TrICy: Trigger-guided Data-to-text Generation with Intent aware Attention-Copy—0
Trie-NLG: Trie Context Augmentation to Improve Personalized Query Auto-Completion for Short and Unseen Prefixes—0
TRIM: Token Reduction and Inference Modeling for Cost-Effective Language Generation—0
TrojVLM: Backdoor Attack Against Vision Language Models—0
Trouble on the Road: Finding Reasons for Commuter Stress from Tweets—0
TROVE: A Challenge for Fine-Grained Text Provenance via Source Sentence Tracing and Relationship Classification—0
TRUE: Re-evaluating Factual Consistency Evaluation—0
Trustful LLMs: Customizing and Grounding Text Generation with Knowledge Bases and Dual Decoders—0
Trustworthy AI: Securing Sensitive Data in Large Language Models—0
TUDA-Reproducibility @ ReproGen: Replicability of Human Evaluation of Text-to-Text and Concept-to-Text Generation—0
Tuning a Grammar Correction System for Increased Precision—0
Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning—0
Turbo Learning for Captionbot and Drawingbot—0
Turing: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface—0
Turkish Paraphrase Corpus—0
Turning Generative Models Degenerate: The Power of Data Poisoning Attacks—0
Tweet to News Conversion: An Investigation into Unsupervised Controllable Text Generation—0
Two Heads Are Better Than One: Collaborative LLM Embodied Agents for Human-Robot Interaction—0
Two-in-One: A Model Hijacking Attack Against Text Generation Models—0
Two-Stage Stochastic Email Synthesizer—0
Two-Stage Stochastic Natural Language Generation for Email Synthesis by Modeling Sender Style and Topic Structure—0
Two-Step Training and Mixed Encoding-Decoding for Implementing a Generative Chatbot with a Small Dialogue Corpus—0
TWT: Table with Written Text for Controlled Data-to-Text Generation—0
TypeScore: A Text Fidelity Metric for Text-to-Image Generative Models—0
Typographic Text Generation with Off-the-Shelf Diffusion Model—0
U2-BENCH: Benchmarking Large Vision-Language Models on Ultrasound Understanding—0
uFACT: Unfaithful Alien-Corpora Training for Semantically Consistent Data-to-Text Generation—0
UFT: Unifying Fine-Tuning of SFT and RLHF/DPO/UNA through a Generalized Implicit Reward Function—0
UIC-CSC: The Content Selection Challenge Entry from the University of Illinois at Chicago—0
UIT-DarkCow team at ImageCLEFmedical Caption 2024: Diagnostic Captioning for Radiology Images Efficiency with Transformer Models—0
Ultrasound Report Generation with Multimodal Large Language Models for Standardized Texts—0
Uncertainty Estimation of Large Language Models in Medical Question Answering—0
Uncertainty in Natural Language Generation: From Theory to Applications—0
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey—0
Uncovering Hidden Violent Tendencies in LLMs: A Demographic Analysis via Behavioral Vignettes—0
Uncovering Surprising Event Boundaries in Narratives—0
Underreporting of errors in NLG output, and what to do about it—0
Underspecified Universal Dependency Structures as Inputs for Multilingual Surface Realisation—0
Understanding and Mitigating Memorization in Diffusion Models for Tabular Data—0
Understanding BLOOM: An empirical study on diverse NLP tasks—0
Understanding Metrics for Paraphrasing—0
Understanding Retrieval Augmentation for Long-Form Question Answering—0
Understanding the Effects of Iterative Prompting on Truthfulness—0
Understanding the Impact of Experiment Design for Evaluating Dialogue System Output—0
Understanding the Properties of Generated Corpora—0
Understanding Zipf's law of word frequencies through sample-space collapse in sentence formation—0
Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization—0
Unified Knowledge Prompt Pre-training for Customer Service Dialogues—0
Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and 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