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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 5251–5300 of 5335 papers

TitleStatusHype
Measuring Popularity of Machine-Generated Sentences Using Term Count, Document Frequency, and Dependency Language Model—0
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records—0
MedHal: An Evaluation Dataset for Medical Hallucination Detection—0
Medical Scientific Table-to-Text Generation with Human-in-the-Loop under the Data Sparsity Constraint—0
MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotations—0
MedWriter: Knowledge-Aware Medical Text Generation—0
MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf—0
MEGATRON-CNTRL: Controllable Story Generation with External Knowledge Using Large-Scale Language Models—0
Membership Inference on Word Embedding and Beyond—0
MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing—0
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation—0
Metaheuristic Approaches to Lexical Substitution and Simplification—0
Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems—0
Meteor++: Incorporating Copy Knowledge into Machine Translation Evaluation—0
MGSA: Multi-Granularity Graph Structure Attention for Knowledge Graph-to-Text Generation—0
Microsyntactic Phenomena as a Computational Linguistics Issue—0
Midge: Generating Descriptions of Images—0
Midge: Generating Image Descriptions From Computer Vision Detections—0
MIME - NLG in Pre-Hospital Care—0
MIME- NLG Support for Complex and Unstable Pre-hospital Emergencies—0
Mimetic Models: Ethical Implications of AI that Acts Like You—0
MindFormer: Semantic Alignment of Multi-Subject fMRI for Brain Decoding—0
Mind the Gap: A Generalized Approach for Cross-Modal Embedding Alignment—0
Mind the Privacy Unit! User-Level Differential Privacy for Language Model Fine-Tuning—0
Minimally-Supervised Morphological Segmentation using Adaptor Grammars—0
Mining human interactions to construct a virtual guide for a virtual fair—0
Mining Knowledge in Storytelling Systems for Narrative Generation—0
Mining Paraphrasal Typed Templates from a Plain Text Corpus—0
MinkApp: Generating Spatio-temporal Summaries for Nature Conservation Volunteers—0
Turning Up the Heat: Min-p Sampling for Creative and Coherent LLM Outputs—0
MIPE: A Metric Independent Pipeline for Effective Code-Mixed NLG Evaluation—0
Mirage in the Eyes: Hallucination Attack on Multi-modal Large Language Models with Only Attention Sink—0
Mirror Diffusion Models—0
Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion—0
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal—0
Mitigating Toxic Degeneration with Empathetic Data: Exploring the Relationship Between Toxicity and Empathy—0
Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models—0
Mix and Match: Learning-free Controllable Text Generation using Energy Language Models—0
Mixed Feelings: Natural Text Generation with Variable, Coexistent Affective Categories—0
Analyzing the Forgetting Problem in the Pretrain-Finetuning of Dialogue Response Models—0
Mixture Models for Diverse Machine Translation: Tricks of the Trade—0
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
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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