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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 3351–3400 of 5335 papers

TitleStatusHype
Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models—0
Text Morphing—0
Text simplification using synchronous dependency grammars: Generalising automatically harvested rules—0
Text Simplification with Reinforcement Learning Using Supervised Rewards on Grammaticality, Meaning Preservation, and Simplicity—0
Text Style Transfer: An Introductory Overview—0
Text-to-Audio Grounding Based Novel Metric for Evaluating Audio Caption Similarity—0
Text-to-Text Multi-view Learning for Passage Re-ranking—0
Text-to-Text Pre-Training Model with Plan Selection for RDF-to-Text Generation—0
Textual Data Augmentation for Efficient Active Learning on Tiny Datasets—0
Textual Data Distributions: Kullback Leibler Textual Distributions Contrasts on GPT-2 Generated Texts, with Supervised, Unsupervised Learning on Vaccine & Market Topics & Sentiment—0
Textual Entailment based Question Generation—0
Textually Summarising Incomplete Data—0
TGEA: An Error-Annotated Dataset and Benchmark Tasks for TextGeneration from Pretrained Language Models—0
The 2020 Bilingual, Bi-Directional WebNLG+ Shared Task: Overview and Evaluation Results (WebNLG+ 2020)—0
The ACL OCL Corpus: Advancing Open Science in Computational Linguistics—0
The African Woman is Rhythmic and Soulful: An Investigation of Implicit Biases in LLM Open-ended Text Generation—0
The AI Ghostwriter Effect: When Users Do Not Perceive Ownership of AI-Generated Text But Self-Declare as Authors—0
The Amazing World of Neural Language Generation—0
The aNALoGuE Challenge: Non Aligned Language GEneration—0
The ApposCorpus: A new multilingual, multi-domain dataset for factual appositive generation—0
The Arabic Parallel Gender Corpus 2.0: Extensions and Analyses—0
The CACAPO Dataset: A Multilingual, Multi-Domain Dataset for Neural Pipeline and End-to-End Data-to-Text Generation—0
The Career Interests of Large Language Models—0
The Case for a Single Model that can Both Generate Continuations and Fill-in-the-Blank—0
The Case for a Single Model that can Both Generate Continuations and Fill in the Blank—0
The Case for a Single Model that can Both Generate Continuations and Fill-in-the-Blank—0
The Challenge of Achieving Attributability in Multilingual Table-to-Text Generation with Question-Answer Blueprints—0
The Challenges of Evaluating LLM Applications: An Analysis of Automated, Human, and LLM-Based Approaches—0
The Chronicles of RAG: The Retriever, the Chunk and the Generator—0
The Code2Text Challenge: Text Generation in Source Libraries—0
The CONCISUS Corpus of Event Summaries—0
The Consensus Game: Language Model Generation via Equilibrium Search—0
The COVID That Wasn't: Counterfactual Journalism Using GPT—0
The COVID That Wasn’t: Counterfactual Journalism Using GPT—0
The CUHK Discourse TreeBank for Chinese: Annotating Explicit Discourse Connectives for the Chinese TreeBank—0
The current status of large language models in summarizing radiology report impressions—0
The Detection of Distributional Discrepancy for Text Generation—0
The DipInfo-UniTo system for SRST 2018—0
The E2E NLG Challenge: A Tale of Two Systems—0
The Effectiveness of Bidirectional Generative Patent Language Models—0
The Effect of Multiple Replies for Natural Language Generation Chatbots—0
The First Multilingual Surface Realisation Shared Task (SR’18): Overview and Evaluation Results—0
A Novel Task-Oriented Text Corpus in Silent Speech Recognition and its Natural Language Generation Construction Method—0
The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems—0
The Future of AI-Assisted Writing—0
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics—0
The Glass Ceiling of Automatic Evaluation in Natural Language Generation—0
The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation—0
The Impact of Artificial Intelligence on the Evolution of Digital Education: A Comparative Study of OpenAI Text Generation Tools including ChatGPT, Bing Chat, Bard, and Ernie—0
The Impact of Listener Gaze on Predicting Reference Resolution—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 (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