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 1501–1550 of 5335 papers

TitleStatusHype
Do Large Language Models Know about Facts?—0
Boosting Code-Switching ASR with Mixture of Experts Enhanced Speech-Conditioned LLM—0
A Survey of Natural Language Generation Techniques with a Focus on Dialogue Systems - Past, Present and Future Directions—0
Do Large Language Models Judge Error Severity Like Humans?—0
Do Large Code Models Understand Programming Concepts? Counterfactual Analysis for Code Predicates—0
Book Review: Automatic Text Simplification by Horacio Saggion—0
Adversarial Text Generation with Dynamic Contextual Perturbation—0
Expert-level vision-language foundation model for real-world radiology and comprehensive evaluation—0
Explainable Autonomy: A Study of Explanation Styles for Building Clear Mental Models—0
Dolphin: A Challenging and Diverse Benchmark for Arabic NLG—0
Domain Adaptable Semantic Clustering in Statistical NLG—0
Domain-Specific Image Captioning—0
Explaining Violation Traces with Finite State Natural Language Generation Models—0
Boosting Event Extraction with Denoised Structure-to-Text Augmentation—0
Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning—0
Don't Forget About Pronouns: Removing Gender Bias in Language Models Without Losing Factual Gender Information—0
Don’t Forget About Pronouns: Removing Gender Bias in Language Models without Losing Factual Gender Information—0
Don’t Forget About Pronouns: Removing Gender Bias in Language Models Without Losing Factual Gender Information—0
Experimental Design to Improve Topic Analysis Based Summarization—0
Does Meta-learning Help mBERT for Few-shot Question Generation in a Cross-lingual Transfer Setting for Indic Languages?—0
Boosting Text Classification Performance on Sexist Tweets by Text Augmentation and Text Generation Using a Combination of Knowledge Graphs—0
Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation—0
Experimental Evaluation of Machine Learning Models for Goal-oriented Customer Service Chatbot with Pipeline Architecture—0
DORE: A Dataset For Portuguese Definition Generation—0
DOSA: A Dataset of Social Artifacts from Different Indian Geographical Subcultures—0
Do sequence-to-sequence VAEs learn global features of sentences?—0
Does a Large Language Model Really Speak in Human-Like Language?—0
A Parallel Recurrent Neural Network for Language Modeling with POS Tags—0
Adversarial Text Generation via Sequence Contrast Discrimination—0
Exact Sampling and Decoding in High-Order Hidden Markov Models—0
An Overview of Large Language Models for Statisticians—0
Do dependency parsing metrics correlate with human judgments?—0
DR.BENCH: Diagnostic Reasoning Benchmark for Clinical Natural Language Processing—0
Example-based Multilinear Sign Language Generation from a Hierarchical Representation—0
Experiments in Linear Template Combination using Genetic Algorithms—0
Do DALL-E and Flamingo Understand Each Other?—0
Blogging birds: Generating narratives about reintroduced species to promote public engagement—0
A novel repetition normalized adversarial reward for headline generation—0
Document Level Hierarchical Transformer—0
DSVD: Dynamic Self-Verify Decoding for Faithful Generation in Large Language Models—0
Doctoral Advisor or Medical Condition: Towards Entity-specific Rankings of Knowledge Base Properties [Extended Version]—0
Evolutionary perspective on model fine-tuning—0
DOCCI: Descriptions of Connected and Contrasting Images—0
DocChat: An Information Retrieval Approach for Chatbot Engines Using Unstructured Documents—0
Dynamic Traceback Learning for Medical Report Generation—0
Do Captioning Metrics Reflect Music Semantic Alignment?—0
Dual use issues in the field of Natural Language Generation—0
DUBLIN -- Document Understanding By Language-Image Network—0
Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities—0
BLEU Neighbors: A Reference-less Approach to Automatic Evaluation—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