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 5001–5050 of 5335 papers

TitleStatusHype
Generating Discourse Connectives with Pre-trained Language Models: Conditioning on Discourse Relations Helps Reconstruct the PDTBCode0
Search and Learn: Improving Semantic Coverage for Data-to-Text GenerationCode0
Adversarial Mutual Information for Text GenerationCode0
OmniDRCA: Parallel Speech-Text Foundation Model via Dual-Resolution Speech Representations and Contrastive AlignmentCode0
Generate, Filter, and Rank: Grammaticality Classification for Production-Ready NLG SystemsCode0
Generalizing Reward Modeling for Out-of-Distribution Preference LearningCode0
Generalized Tuning of Distributional Word Vectors for Monolingual and Cross-Lingual Lexical EntailmentCode0
Generalized Supervised Attention for Text GenerationCode0
Attribute Alignment: Controlling Text Generation from Pre-trained Language ModelsCode0
Deep Image-to-Recipe TranslationCode0
Attention Is Not All You Need AnymoreCode0
See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation LearningCode0
Deep Copycat Networks for Text-to-Text GenerationCode0
DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question AnsweringCode0
Attention Is Indeed All You Need: Semantically Attention-Guided Decoding for Data-to-Text NLGCode0
Byte-Level Recursive Convolutional Auto-Encoder for TextCode0
Attention as Grounding: Exploring Textual and Cross-Modal Attention on Entities and Relations in Language-and-Vision TransformerCode0
Decoding the End-to-end Writing Trajectory in Scholarly ManuscriptsCode0
Unsupervised Approach to Evaluate Sentence-Level Fluency: Do We Really Need Reference?Code0
A Comparative Study of Training Objectives for Clarification Facet GenerationCode0
Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL DivergenceCode0
Gender Biases in Automatic Evaluation Metrics for Image CaptioningCode0
Selective Token Generation for Few-shot Natural Language GenerationCode0
GanLM: Encoder-Decoder Pre-training with an Auxiliary DiscriminatorCode0
One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NERCode0
Fùxì: A Benchmark for Evaluating Language Models on Ancient Chinese Text Understanding and GenerationCode0
One-Shot Sensitivity-Aware Mixed Sparsity Pruning for Large Language ModelsCode0
FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text GenerationCode0
The autoregressive neural network architecture of the Boltzmann distribution of pairwise interacting spins systemsCode0
Bridging LLM-Generated Code and Requirements: Reverse Generation technique and SBC Metric for Developer InsightsCode0
Frame Representation Hypothesis: Multi-Token LLM Interpretability and Concept-Guided Text GenerationCode0
Self-training with Two-phase Self-augmentation for Few-shot Dialogue GenerationCode0
Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few ShotsCode0
FlexRound: Learnable Rounding based on Element-wise Division for Post-Training QuantizationCode0
B2T Connection: Serving Stability and Performance in Deep TransformersCode0
Online Back-Parsing for AMR-to-Text GenerationCode0
Decoding Decoded: Understanding Hyperparameter Effects in Open-Ended Text GenerationCode0
Flexibly-Structured Model for Task-Oriented DialoguesCode0
On Variational Learning of Controllable Representations for Text without SupervisionCode0
Enhancing Text Generation with Cooperative TrainingCode0
Decoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Units for LLMsCode0
Adversarial Feature Matching for Text GenerationCode0
Dispersed Exponential Family Mixture VAEs for Interpretable Text GenerationCode0
Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog GenerationCode0
First Order Generative Adversarial NetworksCode0
Toward Unified Controllable Text Generation via Regular Expression InstructionCode0
Debiasing Pre-Trained Language Models via Efficient Fine-TuningCode0
On Subjective Uncertainty Quantification and Calibration in Natural Language GenerationCode0
Self-Supervised Image-to-Text and Text-to-Image SynthesisCode0
On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching RegularizationCode0
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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