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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.

Further readings:

( Image credit: Adversarial Ranking for Language Generation )

Papers

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Showing 2101–2150 of 5335 papers

TitleStatusHype
Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics—0
Detecting Document Structure in a Very Large Corpus of UK Financial Reports—0
AdvCodec: Towards A Unified Framework for Adversarial Text Generation—0
Harvesting Textual and Structured Data from the HAL Publication Repository—0
Heterogeneous Graph Transformer for Graph-to-Sequence Learning—0
Detecting Bot-Generated Text by Characterizing Linguistic Accommodation in Human-Bot Interactions—0
DetectGPT-SC: Improving Detection of Text Generated by Large Language Models through Self-Consistency with Masked Predictions—0
Designing and testing the messages produced by a virtual dietitian—0
Designing an Algorithm for Generating Named Spatial References—0
Benchmarking Large Language Model Capabilities for Conditional Generation—0
An Encoder with non-Sequential Dependency for Neural Data-to-Text Generation—0
Designing Algorithms for Referring with Proper Names—0
DesignDiffusion: High-Quality Text-to-Design Image Generation with Diffusion Models—0
An Empirical Study on Learning and Improving the Search Objective for Unsupervised Paraphrasing—0
Human-Centered Editable Speech-to-Sign-Language Generation via Streaming Conformer-Transformer and Resampling Hook—0
Design and Implementation of a Virtual 3D Educational Environment to improve Deaf Education—0
Harnessing Knowledge and Reasoning for Human-Like Natural Language Generation: A Brief Review—0
Harnessing the Plug-and-Play Controller by Prompting—0
Design and Development of Spoken Dialogue System in Indic Languages—0
Describing Video Contents in Natural Language—0
Benchmarking Chinese Medical LLMs: A Medbench-based Analysis of Performance Gaps and Hierarchical Optimization Strategies—0
Describing Images using Inferred Visual Dependency Representations—0
Advancing Video Quality Assessment for AIGC—0
Dependency Language Models for Sentence Completion—0
Density Measures for Language Generation—0
BENCHAGENTS: Automated Benchmark Creation with Agent Interaction—0
Harnessing Artificial Intelligence to Combat Online Hate: Exploring the Challenges and Opportunities of Large Language Models in Hate Speech Detection—0
Denoising Pre-Training and Data Augmentation Strategies for Enhanced RDF Verbalization with Transformers—0
Denoising Improves Latent Space Geometry in Text Autoencoders—0
Being data-driven is not enough: Revisiting interactive instruction giving as a challenge for NLG—0
Denoising based Sequence-to-Sequence Pre-training for Text Generation—0
DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event Extraction—0
Evaluating, Understanding, and Improving Constrained Text Generation for Large Language Models—0
Demonstrating EMMA: Embodied MultiModal Agent for Language-guided Action Execution in 3D Simulated Environments—0
Democratizing Ethical Assessment of Natural Language Generation Models—0
Behavior of Modern Pre-trained Language Models Using the Example of Probing Tasks—0
Diffusion Language Models Generation Can Be Halted Early—0
Delving Deeper Into Astromorphic Transformers—0
An Empirical Study of Generating Texts for Search Engine Advertising—0
Advancing Offline Handwritten Text Recognition: A Systematic Review of Data Augmentation and Generation Techniques—0
An Empirical Study of Extrapolation in Text Generation with Scalar Control—0
Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning—0
DelibGAN: Coarse-to-Fine Text Generation via Adversarial Network—0
Deliberate then Generate: Enhanced Prompting Framework for Text Generation—0
DELIA: Diversity-Enhanced Learning for Instruction Adaptation in Large Language Models—0
Dehumanizing Machines: Mitigating Anthropomorphic Behaviors in Text Generation Systems—0
Definite Description Lexical Choice: taking Speaker's Personality into account—0
Defining and Evaluating Fair Natural Language Generation—0
BEADs: Bias Evaluation Across Domains—0
Handwritten text generation and strikethrough characters augmentation—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