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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 3751–3800 of 5335 papers

TitleStatusHype
When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?—0
When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size)—0
When to Plummet and When to Soar: Corpus Based Verb Selection for Natural Language Generation—0
Where to Play: Retrieval of Video Segments using Natural-Language Queries—0
Where Was Alexander the Great in 325 BC? Toward Understanding History Text with a World Model—0
Which Factors Predict the Chat Experience of a Natural Language Generation Dialogue Service?—0
White Men Lead, Black Women Help? Benchmarking and Mitigating Language Agency Social Biases in LLMs—0
Why Can Large Language Models Generate Correct Chain-of-Thoughts?—0
Why Does Zero-Shot Cross-Lingual Generation Fail? An Explanation and a Solution—0
Why GANs are overkill for NLP—0
Why is constrained neural language generation particularly challenging?—0
Why LLMs Hallucinate, and How to Get (Evidential) Closure: Perceptual, Intensional, and Extensional Learning for Faithful Natural Language Generation—0
WHY: Natural Explanations from a Robot Navigator—0
WiseReporter: A Korean Report Generation System—0
WisPerMed at "Discharge Me!": Advancing Text Generation in Healthcare with Large Language Models, Dynamic Expert Selection, and Priming Techniques on MIMIC-IV—0
With Blinkers on: Robust Prediction of Eye Movements across Readers—0
WKVQuant: Quantizing Weight and Key/Value Cache for Large Language Models Gains More—0
Word Affect Intensities—0
Word Affect Intensities—0
Word to Sentence Visual Semantic Similarity for Caption Generation: Lessons Learned—0
Working with Clinicians to Improve a Patient-Information NLG System—0
Write Summary Step-by-Step: A Pilot Study of Stepwise Summarization—0
XDLM: Cross-lingual Diffusion Language Model for Machine Translation—0
X-Eval: Generalizable Multi-aspect Text Evaluation via Augmented Instruction Tuning with Auxiliary Evaluation Aspects—0
XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages—0
XFBoost: Improving Text Generation with Controllable Decoders—0
Xinyu: An Efficient LLM-based System for Commentary Generation—0
xLiD-Lexica: Cross-lingual Linked Data Lexica—0
WatME: Towards Lossless Watermarking Through Lexical Redundancy—0
XMusic: Towards a Generalized and Controllable Symbolic Music Generation Framework—0
XPrompt:Explaining Large Language Model's Generation via Joint Prompt Attribution—0
Y-NQ: English-Yorùbá Evaluation dataset for Open-Book Reading Comprehension and Text Generation—0
Yo'Chameleon: Personalized Vision and Language Generation—0
YoChameleon: Personalized Vision and Language Generation—0
You Can Generate It Again: Data-to-text Generation with Verification and Correction Prompting—0
Youling: an AI-Assisted Lyrics Creation System—0
Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling—0
Zero-Shot Controlled Generation with Encoder-Decoder Transformers—0
Zero-Shot Dense Video Captioning by Jointly Optimizing Text and Moment—0
Zero-Shot Goal-Directed Dialogue via RL on Imagined Conversations—0
Zero-Shot Multi-task Hallucination Detection—0
Zero-Shot Neural Machine Translation: Russian-Hindi @LoResMT 2020—0
Zero-Shot Strategies for Length-Controllable Summarization—0
Zero-Shot Styled Text Image Generation, but Make It Autoregressive—0
Zipf's law is a consequence of coherent language production—0
Zipper: A Multi-Tower Decoder Architecture for Fusing Modalities—0
Ziya-Visual: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning—0
Zoom: a corpus of natural language descriptions of map locations—0
Learning Natural Language Generation from Scratch—0
Learning Personalized Alignment for Evaluating Open-ended Text Generation—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