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

Showing 39764000 of 5335 papers

TitleStatusHype
Midge: Generating Descriptions of Images0
Midge: Generating Image Descriptions From Computer Vision Detections0
MIME - NLG in Pre-Hospital Care0
MIME- NLG Support for Complex and Unstable Pre-hospital Emergencies0
Mimetic Models: Ethical Implications of AI that Acts Like You0
MindFormer: Semantic Alignment of Multi-Subject fMRI for Brain Decoding0
Mind the Gap: A Generalized Approach for Cross-Modal Embedding Alignment0
Mind the Privacy Unit! User-Level Differential Privacy for Language Model Fine-Tuning0
Minimally-Supervised Morphological Segmentation using Adaptor Grammars0
Mining human interactions to construct a virtual guide for a virtual fair0
Mining Knowledge in Storytelling Systems for Narrative Generation0
Mining Paraphrasal Typed Templates from a Plain Text Corpus0
MinkApp: Generating Spatio-temporal Summaries for Nature Conservation Volunteers0
Turning Up the Heat: Min-p Sampling for Creative and Coherent LLM Outputs0
MIPE: A Metric Independent Pipeline for Effective Code-Mixed NLG Evaluation0
Mirage in the Eyes: Hallucination Attack on Multi-modal Large Language Models with Only Attention Sink0
Mirror Diffusion Models0
Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion0
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal0
Mitigating Toxic Degeneration with Empathetic Data: Exploring the Relationship Between Toxicity and Empathy0
Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models0
Mix and Match: Learning-free Controllable Text Generation using Energy Language Models0
Mixed Feelings: Natural Text Generation with Variable, Coexistent Affective Categories0
Analyzing the Forgetting Problem in the Pretrain-Finetuning of Dialogue Response Models0
Mixture Models for Diverse Machine Translation: Tricks of the Trade0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1T5B BaselineBLEU48.74Unverified
2FactT5BBLEU48.37Unverified
3JointGT BaselineBLEU47.51Unverified
4FactJointGTBLEU47.39Unverified
5Control Prefixes (T5-large)METEOR0.41Unverified
6T5METEOR0.12Unverified
7BARTMETEOR0.11Unverified
#ModelMetricClaimedVerifiedStatus
1LeakGANBLEU-20.95Unverified
2partGANBLEU-20.91Unverified
3RankGANBLEU-20.85Unverified
4RelGAN (100)BLEU-20.85Unverified
5SeqGANBLEU-20.83Unverified
#ModelMetricClaimedVerifiedStatus
1LeakGANBLEU-20.96Unverified
2PPOGANBLEU-20.91Unverified
3RelGANBLEU-20.88Unverified
4SeqGANBLEU-20.86Unverified
5RankGANBLEU-20.78Unverified
#ModelMetricClaimedVerifiedStatus
1UniCRSDistinct-30.65Unverified
2CRFRDistinct-30.52Unverified
3KGSFDistinct-30.43Unverified
4C2CRSDistinct-30.33Unverified
5KBRDDistinct-30.3Unverified
#ModelMetricClaimedVerifiedStatus
1UniLMCIDEr14.92Unverified
2BART (TextBox 2.0)CIDEr12.98Unverified
3BARTMETEOR0.3Unverified
4T5METEOR0.29Unverified
#ModelMetricClaimedVerifiedStatus
1Beam search + A*esque (beam)BLEU-134.4Unverified
2Beam search + A*esque (sample)BLEU-134.4Unverified
3Beam search + A*esque (greedy)BLEU-134.3Unverified
4Beam searchBLEU-133.7Unverified
#ModelMetricClaimedVerifiedStatus
1RankGANBLEU-20.81Unverified
2SeqGANBLEU-20.74Unverified
3LeakGANBLEU-20.46Unverified
#ModelMetricClaimedVerifiedStatus
1TGen++METEOR0.17Unverified
2TGenMETEOR0.15Unverified
3TGen+METEOR0.15Unverified
#ModelMetricClaimedVerifiedStatus
1GPT2-124Meval_loss3.12Unverified
2GPT2-81M-LOOPeval_loss3.11Unverified
3GPT2-Hermiteeval_loss2.91Unverified
#ModelMetricClaimedVerifiedStatus
1LLaMA-65B+CFG (zero-shot)Accuracy96.6Unverified
2LLaMA-30B+CFG (zero-shot)Accuracy96.4Unverified
3LLaMA-13B+CFG (zero-shot)Accuracy95.1Unverified
#ModelMetricClaimedVerifiedStatus
1CNN-VAENLL332.1Unverified
2SA-VAENLL327.5Unverified
3Aggressive VAENLL326.7Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)BLEU-410.2Unverified
#ModelMetricClaimedVerifiedStatus
1STWGAN-GPBLEU-30.62Unverified
#ModelMetricClaimedVerifiedStatus
1PALMROUGE-L41.41Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)ROUGE-L64.34Unverified
#ModelMetricClaimedVerifiedStatus
1AEM+AttentionBLEU-114.17Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-4ASR65.1Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)ROUGE-L42.96Unverified
#ModelMetricClaimedVerifiedStatus
1Graph2SeqBLEU22Unverified
#ModelMetricClaimedVerifiedStatus
1WGANGP + DGflowJS-40.19Unverified