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 3851–3900 of 5335 papers

TitleStatusHype
LiFi: Lightweight Controlled Text Generation with Fine-Grained Control Codes—0
LiLiuM: eBay's Large Language Models for e-commerce—0
Limits of Detecting Text Generated by Large-Scale Language Models—0
LIMSI @ WMT13—0
Linear Interpolation In Parameter Space is Good Enough for Fine-Tuned Language Models—0
Linearizing Transformer with Key-Value Memory—0
Linearly Controlled Language Generation with Performative Guarantees—0
Line Graph Enhanced AMR-to-Text Generation with Mix-Order Graph Attention Networks—0
Linguistic Description of Complex Phenomena with the rLDCP R Package—0
Linguistic Descriptions for Automatic Generation of Textual Short-Term Weather Forecasts on Real Prediction Data—0
Linguistic Features of Helpfulness in Automated Support for Creative Writing—0
Linguistic Intelligence in Large Language Models for Telecommunications—0
Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation—0
Linguist's Assistant: A Multi-Lingual Natural Language Generator based on Linguistic Universals, Typologies, and Primitives—0
Lingxi: A Diversity-aware Chinese Modern Poetry Generation System—0
Listen Again and Choose the Right Answer: A New Paradigm for Automatic Speech Recognition with Large Language Models—0
LLaMA Beyond English: An Empirical Study on Language Capability Transfer—0
LLaMA-Mesh: Unifying 3D Mesh Generation with Language Models—0
LLaMAntino: LLaMA 2 Models for Effective Text Generation in Italian Language—0
LlaMaVAE: Guiding Large Language Model Generation via Continuous Latent Sentence Spaces—0
LLM-Assisted Visual Analytics: Opportunities and Challenges—0
LLM-based Affective Text Generation Quality Based on Different Quantization Values—0
LLM-based Code-Switched Text Generation for Grammatical Error Correction—0
LLM-based NLG Evaluation: Current Status and Challenges—0
LLM Braces: Straightening Out LLM Predictions with Relevant Sub-Updates—0
LLMCad: Fast and Scalable On-device Large Language Model Inference—0
LLM can Achieve Self-Regulation via Hyperparameter Aware Generation—0
LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion—0
Large Language Models for Healthcare Data Augmentation: An Example on Patient-Trial Matching—0
LLM-Oriented Retrieval Tuner—0
LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots—0
LLMPopcorn: An Empirical Study of LLMs as Assistants for Popular Micro-video Generation—0
Towards LLM-guided Causal Explainability for Black-box Text Classifiers—0
LLMs Can Check Their Own Results to Mitigate Hallucinations in Traffic Understanding Tasks—0
LLMs for Test Input Generation for Semantic Caches—0
LLMs Reproduce Stereotypes of Sexual and Gender Minorities—0
LLMs' Understanding of Natural Language Revealed—0
LLMs Will Always Hallucinate, and We Need to Live With This—0
LLM Tree Search—0
LMLPA: Language Model Linguistic Personality Assessment—0
LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models—0
LM-Polygraph: Uncertainty Estimation for Language Models—0
Local Convergence of Approximate Newton Method for Two Layer Nonlinear Regression—0
Localising the Clinical Terminology SNOMED CT by Semi-automated Creation of a German Interface Vocabulary—0
Localizing AI: Evaluating Open-Weight Language Models for Languages of Baltic States—0
Local Normalization Distortion and the Thermodynamic Formalism of Decoding Strategies for Large Language Models—0
LoCa: Logit Calibration for Knowledge Distillation—0
Locate&Edit: Energy-based Text Editing for Efficient, Flexible, and Faithful Controlled Text Generation—0
LOGEN: Few-shot Logical Knowledge-Conditioned Text Generation with Self-training—0
Logic-Guided Message Generation from Raw Real-Time Sensor Data—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