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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2451–2500 of 5335 papers

TitleStatusHype
Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder—0
Are PPO-ed Language Models Hackable?—0
Enhancing the Expression of Contrast in the SPaRKy Restaurant Corpus—0
Enhancing Text Generation with Inductive Event Reasoning—0
Enhancing Text Generation in Joint NLG/NLU Learning Through Curriculum Learning, Semi-Supervised Training, and Advanced Optimization Techniques—0
Enhancing Task-Specific Distillation in Small Data Regimes through Language Generation—0
CaptainGAN: Navigate Through Embedding Space For Better Text Generation—0
A Repository of Rules and Lexical Resources for Discourse Structure Analysis: the Case of Explanation Structures—0
Enhancing Retrieval Processes for Language Generation with Augmented Queries—0
Enhancing PTB Universal Dependencies for Grammar-Based Surface Realization—0
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System—0
Can We Catch the Elephant? A Survey of the Evolvement of Hallucination Evaluation on Natural Language Generation—0
A Repository of Frame Instance Lexicalizations for Generation—0
Enhancing Neural Data-To-Text Generation Models with External Background Knowledge—0
Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?—0
Can the Transformer Be Used as a Drop-in Replacement for RNNs in Text-Generating GANs?—0
A Repository of Data and Evaluation Resources for Natural Language Generation—0
A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis—0
Enhancing Language Generation with Effective Checkpoints of Pre-trained Language Model—0
Can spontaneous spoken language disfluencies help describe syntactic dependencies? An empirical study—0
Enhancing Impression Change Prediction in Speed Dating Simulations Based on Speakers' Personalities—0
Can Pretrained Language Models Generate Persuasive, Faithful, and Informative Ad Text for Product Descriptions?—0
Advancing Precise Outline-Conditioned Text Generation with Task Duality and Explicit Outline Control—0
Enhancing Emotion Prediction in News Headlines: Insights from ChatGPT and Seq2Seq Models for Free-Text Generation—0
Can Neural Image Captioning be Controlled via Forced Attention?—0
Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval—0
Enhancing Data Privacy in Large Language Models through Private Association Editing—0
Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate—0
Are LLMs Aware that Some Questions are not Open-ended?—0
Enhancing Cohesion and Coherence of Fake Text to Improve Believability for Deceiving Cyber Attackers—0
Can LLMs Automate Fact-Checking Article Writing?—0
Enhancing Biomedical Text Summarization and Question-Answering: On the Utility of Domain-Specific Pre-Training—0
Enhancing Answer Attribution for Faithful Text Generation with Large Language Models—0
Enhancing Annotated Bibliography Generation with LLM Ensembles—0
Can Language Models Take A Hint? Prompting for Controllable Contextualized Commonsense Inference—0
Can Language Models Take A Hint? Prompting for Controllable Contextualized Commonsense Inference—0
Are Large Language Models Reliable Judges? A Study on the Factuality Evaluation Capabilities of LLMs—0
Adapting Graph Summaries to the Users' Reading Levels—0
Adapting Descriptions of People to the Point of View of a Moving Observer—0
A Brief Introduction to Natural Language Generation within Computational Creativity—0
Enhanced Transformer Model for Data-to-Text Generation—0
Can Language Model Moderators Improve the Health of Online Discourse?—0
Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?—0
Enhanced Modality Transition for Image Captioning—0
Energy-Conscious LLM Decoding: Impact of Text Generation Strategies on GPU Energy Consumption—0
Energy-Based Models with Applications to Speech and Language Processing—0
Can Grammarly and ChatGPT accelerate language change? AI-powered technologies and their impact on the English language: wordiness vs. conciseness—0
A Reinforcement Learning Framework for Natural Question Generation using Bi-discriminators—0
A Game-Based Setup for Data Collection and Task-Based Evaluation of Uncertain Information Presentation—0
Energy-Based Diffusion Language Models for Text Generation—0
Show:102550
← PrevPage 50 of 107Next →
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