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.

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( Image credit: Adversarial Ranking for Language Generation )

Papers

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Showing 1551–1600 of 5335 papers

TitleStatusHype
Dutch Humor Detection by Generating Negative Examples—0
DU-VLG: Unifying Vision-and-Language Generation via Dual Sequence-to-Sequence Pre-training—0
Bridging Brain Signals and Language: A Deep Learning Approach to EEG-to-Text Decoding—0
D.Va: Validate Your Demonstration First Before You Use It—0
Document Level Hierarchical Transformer—0
Doctoral Advisor or Medical Condition: Towards Entity-specific Rankings of Knowledge Base Properties [Extended Version]—0
Exploring and Adapting Chinese GPT to Pinyin Input Method—0
DOCCI: Descriptions of Connected and Contrasting Images—0
DocChat: An Information Retrieval Approach for Chatbot Engines Using Unstructured Documents—0
Dynamic population-based meta-learning for multi-agent communication with natural language—0
Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation—0
Dynamic Scheduled Sampling with Imitation Loss for Neural Text Generation—0
Do Captioning Metrics Reflect Music Semantic Alignment?—0
Dynamic Strategy Chain: Dynamic Zero-Shot CoT for Long Mental Health Support Generation—0
Dynamic Topic Tracker for KB-to-Text Generation—0
DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling—0
BLEU Neighbors: A Reference-less Approach to Automatic Evaluation—0
E2E-AFG: An End-to-End Model with Adaptive Filtering for Retrieval-Augmented Generation—0
A Novel Discriminative Framework for Sentence-Level Discourse Analysis—0
E2E NLG Challenge Submission: Towards Controllable Generation of Diverse Natural Language—0
A Context-aware Natural Language Generator for Dialogue Systems—0
A Zipf's Law-based Text Generation Approach for Addressing Imbalance in Entity Extraction—0
EASE: Extractive-Abstractive Summarization End-to-End using the Information Bottleneck Principle—0
Exploiting Ontology Lexica for Generating Natural Language Texts from RDF Data—0
Easy Things First: Installments Improve Referring Expression Generation for Objects in Photographs—0
Exploration Based Language Learning for Text-Based Games—0
DLGNet-Task: An End-to-end Neural Network Framework for Modeling Multi-turn Multi-domain Task-Oriented Dialogue—0
A Novel Discourse Parser Based on Support Vector Machine Classification—0
Exploiting naive vs expert discourse annotations: an experiment using lexical cohesion to predict Elaboration / Entity-Elaboration confusions—0
eC-Tab2Text: Aspect-Based Text Generation from e-Commerce Product Tables—0
Exploration of Masked and Causal Language Modelling for Text Generation—0
Diversity of Thought Elicits Stronger Reasoning Capabilities in Multi-Agent Debate Frameworks—0
EEG2TEXT-CN: An Exploratory Study of Open-Vocabulary Chinese Text-EEG Alignment via Large Language Model and Contrastive Learning on ChineseEEG—0
Diversity Enhanced Table-to-Text Generation via Type Control—0
Building Adaptive Acceptability Classifiers for Neural NLG—0
Effective Context Selection in LLM-based Leaderboard Generation: An Empirical Study—0
Building a German/Simple German Parallel Corpus for Automatic Text Simplification—0
Effective Unsupervised Constrained Text Generation based on Perturbed Masking—0
Effective Unsupervised Constrained Text Generation based on Perturbed Masking—0
Effect of Data Annotation, Feature Selection and Model Choice on Spatial Description Generation in French—0
Black Box to White Box: Discover Model Characteristics Based on Strategic Probing—0
Diversity as a By-Product: Goal-oriented Language Generation Leads to Linguistic Variation—0
Diversifying Neural Text Generation with Part-of-Speech Guided Softmax and Sampling—0
Adversarial Self-Supervised Data-Free Distillation for Text Classification—0
Exploiting Mixture-of-Experts Redundancy Unlocks Multimodal Generative Abilities—0
Exploration of the Impact of Maximum Entropy in Recurrent Neural Network Language Models for Code-Switching Speech—0
Efficient Model-Agnostic Multi-Group Equivariant Networks—0
A Context-aware Natural Language Generator for Dialogue Systems—0
Diverse Parallel Data Synthesis for Cross-Database Adaptation of Text-to-SQL Parsers—0
Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data—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