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 2901–2950 of 5335 papers

TitleStatusHype
QGASP: a Framework for Question Generation Based on Different Levels of Linguistic Information—0
QiuNiu: A Chinese Lyrics Generation System with Passage-Level Input—0
Qronos: Correcting the Past by Shaping the Future... in Post-Training Quantization—0
QSTS: A Question-Sensitive Text Similarity Measure for Question Generation—0
Qualitative Insights Tool (QualIT): LLM Enhanced Topic Modeling—0
Quality-Diversity through AI Feedback—0
Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text—0
Quality Signals in Generated Stories—0
Exposure Bias versus Self-Recovery: Are Distortions Really Incremental for Autoregressive Text Generation?—0
Quantifying Exposure Bias for Open-ended Language Generation—0
Quantifying In-Context Reasoning Effects and Memorization Effects in LLMs—0
Quantifying Memorization and Detecting Training Data of Pre-trained Language Models using Japanese Newspaper—0
Quantifying the Capability Boundary of DeepSeek Models: An Application-Driven Performance Analysis—0
Quantized Embedding Vectors for Controllable Diffusion Language Models—0
Quasi-random Multi-Sample Inference for Large Language Models—0
Query expansion with artificially generated texts—0
QURIOUS: Question Generation Pretraining for Text Generation—0
R^2: A LLM Based Novel-to-Screenplay Generation Framework with Causal Plot Graphs—0
R2D2: Relational Text Decoding with Transformers—0
R2GenCSR: Retrieving Context Samples for Large Language Model based X-ray Medical Report Generation—0
R^3AG: First Workshop on Refined and Reliable Retrieval Augmented Generation—0
R4: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models—0
RabindraNet, Creating Literary Works in the Style of Rabindranath Tagore—0
RADAR: Robust AI-Text Detection via Adversarial Learning—0
Radiology Report Generation with a Learned Knowledge Base and Multi-modal Alignment—0
RAGulator: Lightweight Out-of-Context Detectors for Grounded Text Generation—0
Rainproof: An Umbrella To Shield Text Generators From Out-Of-Distribution Data—0
Random Network Distillation as a Diversity Metric for Both Image and Text Generation—0
Random vector generation of a semantic space—0
Ranking Automatically Generated Questions Using Common Human Queries—0
Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings—0
Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings—0
RAST: Domain-Robust Dialogue Rewriting as Sequence Tagging—0
Rationalization for Explainable NLP: A Survey—0
RDFjsRealB: a Symbolic Approach for Generating Text from RDF Triples—0
Triples-to-Text Generation with Reinforcement Learning Based Graph-augmented Neural Networks—0
RDPM: Solve Diffusion Probabilistic Models via Recurrent Token Prediction—0
Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation—0
Read, Attend and Comment: A Deep Architecture for Automatic NewsComment Generation—0
ReadCtrl: Personalizing text generation with readability-controlled instruction learning—0
Reading Radiology Imaging Like The Radiologist—0
Reading Text in the Wild with Convolutional Neural Networks—0
Reading Times Predict the Quality of Generated Text Above and Beyond Human Ratings—0
ReadME generation from an OWL ontology describing NLP tools—0
READ: Reinforcement-based Adversarial Learning for Text Classification with Limited Labeled Data—0
Realistic simulation of users for IT systems in cyber ranges—0
Realization of long sentences using chunking—0
ReALLM: A general framework for LLM compression and fine-tuning—0
Real or Fake? Learning to Discriminate Machine from Human Generated Text—0
Real-time Verification and Refinement of Language Model Text Generation—0
Show:102550
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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