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 4001–4050 of 5335 papers

TitleStatusHype
MMAR: Towards Lossless Multi-Modal Auto-Regressive Probabilistic Modeling—0
MM-Narrator: Narrating Long-form Videos with Multimodal In-Context Learning—0
MoDA: Modulation Adapter for Fine-Grained Visual Grounding in Instructional MLLMs—0
Model Cascading for Code: A Cascaded Black-Box Multi-Model Framework for Cost-Efficient Code Completion with Self-Testing—0
Modeling Blame to Avoid Positive Face Threats in Natural Language Generation—0
Modeling Coherency in Generated Emails by Leveraging Deep Neural Learners—0
Modeling Comparative Logical Relation with Contrastive Learning for Text Generation—0
Modeling Graph Structure via Relative Position for Text Generation from Knowledge Graphs—0
Modeling Intensification for Signed Language Generation: A Computational Approach—0
Modeling Linguistic and Personality Adaptation for Natural Language Generation—0
Modeling the Non-Substitutability of Multiword Expressions with Distributional Semantics and a Log-Linear Model—0
Modelling Context Emotions using Multi-task Learning for Emotion Controlled Dialog Generation—0
Modelling Latent Skills for Multitask Language Generation—0
Modelling Natural Language, Programs, and their Intersection—0
Modelling Pro-drop with the Rational Speech Acts Model—0
Modelling the Semantics of Adjectives in the Ontology-Lexicon Interface—0
Models and Tasks for Human-Centered Machine Translation—0
Models See Hallucinations: Evaluating the Factuality in Video Captioning—0
Modern French Poetry Generation with RoBERTa and GPT-2—0
Modern Information Technologies in Scientific Research and Educational Activities—0
Modular Transformers: Compressing Transformers into Modularized Layers for Flexible Efficient Inference—0
Mogao: An Omni Foundation Model for Interleaved Multi-Modal Generation—0
MolTextNet: A Two-Million Molecule-Text Dataset for Multimodal Molecular Learning—0
Momentum Calibration for Text Generation—0
Monocle: Hybrid Local-Global In-Context Evaluation for Long-Text Generation with Uncertainty-Based Active Learning—0
Monolingual Distributional Similarity for Text-to-Text Generation—0
Monte Carlo Tree Search for Recipe Generation using GPT-2—0
MOPO: Multi-Objective Prompt Optimization for Affective Text Generation—0
More for Less: Compact Convolutional Transformers Enable Robust Medical Image Classification with Limited Data—0
MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning—0
Movie2Story: A framework for understanding videos and telling stories in the form of novel text—0
MovieLLM: Enhancing Long Video Understanding with AI-Generated Movies—0
Moving Targets: Human References to Unstable Landmarks—0
M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions—0
MReD: A Meta-Review Dataset for Structure-Controllable Text Generation—0
MRScore: Evaluating Radiology Report Generation with LLM-based Reward System—0
MTG: A Benchmarking Suite for Multilingual Text Generation—0
MuLER: Detailed and Scalable Reference-based Evaluation—0
Multi2: Multi-Agent Test-Time Scalable Framework for Multi-Document Processing—0
Multi3Generation: Multitask, Multilingual, Multimodal Language Generation—0
Multi-adaptive Natural Language Generation using Principal Component Regression—0
Multi-agent KTO: Reinforcing Strategic Interactions of Large Language Model in Language Game—0
Multi-Agent LLM Judge: automatic personalized LLM judge design for evaluating natural language generation applications—0
Joint Repetition Suppression and Content Moderation of Large Language Models—0
Multi-Attribute Constraint Satisfaction via Language Model Rewriting—0
Multi-Attribute Controlled Text Generation with Contrastive-Generator and External-Discriminator—0
Multi-Style Transfer with Discriminative Feedback on Disjoint Corpus—0
Multi-domain Neural Network Language Generation for Spoken Dialogue Systems—0
Multi-group Uncertainty Quantification for Long-form Text Generation—0
Multi-Language Surface Realisation as REST API based NLG Microservice—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 (sample)BLEU-134.4—Unverified
2Beam search + A*esque (beam)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