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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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3551–3600 of 5335 papers

TitleStatusHype
Towards Vision Enhancing LLMs: Empowering Multimodal Knowledge Storage and Sharing in LLMs—0
Towards Visual Text Design Transfer Across Languages—0
Towards Zero-Shot & Explainable Video Description by Reasoning over Graphs of Events in Space and Time—0
Towards Zero-Shot Personalized Table-to-Text Generation with Contrastive Persona Distillation—0
Toward verbalizing ontologies in isiZulu—0
Toyteller: AI-powered Visual Storytelling Through Toy-Playing with Character Symbols—0
TPC: Cross-Temporal Prediction Connection for Vision-Language Model Hallucination Reduction—0
TRACE Back from the Future: A Probabilistic Reasoning Approach to Controllable Language Generation—0
Trading Off Diversity and Quality in Natural Language Generation—0
Train & Constrain: Phonologically Informed Tongue-Twister Generation from Topics and Paraphrases—0
Train Hard, Finetune Easy: Multilingual Denoising for RDF-to-Text Generation—0
Training a Natural Language Generator From Unaligned Data—0
Training and evaluation of an MDP model for social multi-user human-robot interaction—0
Training an integrated sentence planner on user dialogue—0
Training ASR models by Generation of Contextual Information—0
Training Large Language Models Efficiently with Sparsity and Dataflow—0
Training Shallow Phrase Structure Parsers From Semantic Frames and Simple NLG—0
Training Ultra Long Context Language Model with Fully Pipelined Distributed Transformer—0
Transferable text data distillation by trajectory matching—0
Transfer Learning and Masked Generation for Answer Verbalization—0
Transfer Learning for Text Diffusion Models—0
Transfer Reward Learning for Policy Gradient-Based Text Generation—0
Transformer based Natural Language Generation for Question-Answering—0
On Understanding Attention-Based In-Context Learning for Categorical Data—0
Transformer Language Models Handle Word Frequency in Prediction Head—0
Transformers and Large Language Models for Efficient Intrusion Detection Systems: A Comprehensive Survey—0
Transitional Adaptation of Pretrained Models for Visual Storytelling—0
Transition-Based Chinese AMR Parsing—0
Translating Dialectal Arabic as Low Resource Language using Word Embedding—0
Translating Italian to LIS in the Rail Stations—0
Translating Videos to Natural Language Using Deep Recurrent Neural Networks—0
Transparency in Language Generation: Levels of Automation—0
TransSent: Towards Generation of Structured Sentences with Discourse Marker—0
Treat the system like a human student: Automatic naturalness evaluation of generated text without reference texts—0
Tree Decomposition Attention for AMR-to-Text Generation—0
Tree-Structured Semantic Encoder with Knowledge Sharing for Domain Adaptation in Natural Language Generation—0
TrICy: Trigger-guided Data-to-text Generation with Intent aware Attention-Copy—0
Trie-NLG: Trie Context Augmentation to Improve Personalized Query Auto-Completion for Short and Unseen Prefixes—0
TRIM: Token Reduction and Inference Modeling for Cost-Effective Language Generation—0
TrojVLM: Backdoor Attack Against Vision Language Models—0
Trouble on the Road: Finding Reasons for Commuter Stress from Tweets—0
TROVE: A Challenge for Fine-Grained Text Provenance via Source Sentence Tracing and Relationship Classification—0
TRUE: Re-evaluating Factual Consistency Evaluation—0
Trustful LLMs: Customizing and Grounding Text Generation with Knowledge Bases and Dual Decoders—0
Trustworthy AI: Securing Sensitive Data in Large Language Models—0
TUDA-Reproducibility @ ReproGen: Replicability of Human Evaluation of Text-to-Text and Concept-to-Text Generation—0
Tuning a Grammar Correction System for Increased Precision—0
Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning—0
Turbo Learning for Captionbot and Drawingbot—0
Turing: an Accurate and Interpretable Multi-Hypothesis Cross-Domain Natural Language Database Interface—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