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 2001–2050 of 5335 papers

TitleStatusHype
Generating Informative Responses with Controlled Sentence FunctionCode0
Well, that escalated quickly: The Single-Turn Crescendo Attack (STCA)Code0
Generating Diverse and High-Quality Texts by Minimum Bayes Risk DecodingCode0
Generating Discourse Connectives with Pre-trained Language Models: Conditioning on Discourse Relations Helps Reconstruct the PDTBCode0
Generating Diverse Descriptions from Semantic GraphsCode0
Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine DecodingCode0
Concept-Level Explainability for Auditing & Steering LLM ResponsesCode0
A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG SystemsCode0
Generalized Supervised Attention for Text GenerationCode0
Generalized Tuning of Distributional Word Vectors for Monolingual and Cross-Lingual Lexical EntailmentCode0
Generalizing Reward Modeling for Out-of-Distribution Preference LearningCode0
Communication-based Evaluation for Natural Language GenerationCode0
Zero-Shot Statistical Tests for LLM-Generated Text Detection using Finite Sample Concentration InequalitiesCode0
FreeCtrl: Constructing Control Centers with Feedforward Layers for Learning-Free Controllable Text GenerationCode0
A Systematic Study of Knowledge Distillation for Natural Language Generation with Pseudo-Target TrainingCode0
Compositional Image Retrieval via Instruction-Aware Contrastive LearningCode0
GanLM: Encoder-Decoder Pre-training with an Auxiliary DiscriminatorCode0
Gender Biases in Automatic Evaluation Metrics for Image CaptioningCode0
Generate, Filter, and Rank: Grammaticality Classification for Production-Ready NLG SystemsCode0
Generating Narrative Text in a Switching Dynamical SystemCode0
Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning RepresentationCode0
Pragmatically Informative Text GenerationCode0
Fuzzy quantification for linguistic data analysis and data mining—0
Compositional Generalization for Data-to-Text Generation—0
How Does Knowledge Selection Help Retrieval Augmented Generation?—0
Leveraging Language Model Capabilities for Sound Event Detection—0
Composed Variational Natural Language Generation for Few-shot Intents—0
A Systematic Evaluation of Large Language Models for Natural Language Generation Tasks—0
Fully Abstractive Approach to Guided Summarization—0
Frustratingly Easy Model Ensemble for Abstractive Summarization—0
Complete Chess Games Enable LLM Become A Chess Master—0
FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metrics for Automatic Text Generation—0
FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metrics for Automatic Text Generation—0
From Unsupervised Machine Translation To Adversarial Text Generation—0
Compilable Neural Code Generation with Compiler Feedback—0
Comparing the Template-Based Approach to GF: the case of Afrikaans—0
Alex: Bootstrapping a Spoken Dialogue System for a New Domain by Real Users—0
From the Virtual to the RealWorld: Referring to Objects in Real-World Spatial Scenes—0
From Theories on Styles to their Transfer in Text: Bridging the Gap with a Hierarchical Survey—0
Comparing HMMs and Bayesian Networks for Surface Realisation—0
From Sub-Ability Diagnosis to Human-Aligned Generation: Bridging the Gap for Text Length Control via MARKERGEN—0
From Solving a Problem Boldly to Cutting the Gordian Knot: Idiomatic Text Generation—0
Fusion Models for Improved Visual Captioning—0
Comparing Grammatical Theories of Code-Mixing—0
AsymKV: Enabling 1-Bit Quantization of KV Cache with Layer-Wise Asymmetric Quantization Configurations—0
Fuzzy Sets Across the Natural Language Generation Pipeline—0
From Show to Tell: A Survey on Deep Learning-based Image Captioning—0
From sensors to sense: Integrated heterogeneous ontologies for Natural Language Generation—0
Comparing Computational Architectures for Automated Journalism—0
From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers—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