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 2501–2550 of 5335 papers

TitleStatusHype
Don't throw away your value model! Generating more preferable text with Value-Guided Monte-Carlo Tree Search decoding—0
Calibrating LLM-Based EvaluatorCode0
Towards LLM-guided Causal Explainability for Black-box Text Classifiers—0
Resolving References in Visually-Grounded Dialogue via Text GenerationCode0
Learning to Diversify Neural Text Generation via Degenerative Model—0
Effective Distillation of Table-based Reasoning Ability from LLMsCode0
BenLLMEval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP—0
Automatic Answerability Evaluation for Question Generation—0
TOPFORMER: Topology-Aware Authorship Attribution of Deepfake Texts with Diverse Writing StylesCode0
Constraints First: A New MDD-based Model to Generate Sentences Under Constraints—0
Reranking for Natural Language Generation from Logical Forms: A Study based on Large Language Models—0
KOSMOS-2.5: A Multimodal Literate Model—0
Chain-of-Verification Reduces Hallucination in Large Language ModelsCode0
Prototype of a robotic system to assist the learning process of English language with text-generation through DNN—0
Speak While You Think: Streaming Speech Synthesis During Text Generation—0
Overview of AuTexTification at IberLEF 2023: Detection and Attribution of Machine-Generated Text in Multiple DomainsCode0
Toward Unified Controllable Text Generation via Regular Expression InstructionCode0
Leveraging Speech PTM, Text LLM, and Emotional TTS for Speech Emotion Recognition—0
MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods—0
Specializing Small Language Models towards Complex Style Transfer via Latent Attribute Pre-TrainingCode0
Harnessing the Zero-Shot Power of Instruction-Tuned Large Language Model in End-to-End Speech Recognition—0
Search and Learning for Unsupervised Text Generation—0
Contrastive Decoding Improves Reasoning in Large Language Models—0
PoseFix: Correcting 3D Human Poses with Natural Language—0
A Modern Turkish Poet: Fine-Tuned GPT-2Code0
Voxtlm: unified decoder-only models for consolidating speech recognition/synthesis and speech/text continuation tasks—0
Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?—0
An Assessment of ChatGPT on Log Data—0
Scaled Prompt-Tuning for Few-Shot Natural Language Generation—0
Unveiling the potential of large language models in generating semantic and cross-language clones—0
Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity—0
Cited Text Spans for Citation Text GenerationCode0
Circuit Breaking: Removing Model Behaviors with Targeted AblationCode0
Reverse-Engineering Decoding Strategies Given Blackbox Access to a Language Generation System—0
LLMCad: Fast and Scalable On-device Large Language Model Inference—0
Parameter Efficient Audio Captioning With Faithful Guidance Using Audio-text Shared Latent Representation—0
Synthetic Text Generation using Hypergraph Representations—0
The Impact of Artificial Intelligence on the Evolution of Digital Education: A Comparative Study of OpenAI Text Generation Tools including ChatGPT, Bing Chat, Bard, and Ernie—0
NumHG: A Dataset for Number-Focused Headline GenerationCode0
Donkii: Can Annotation Error Detection Methods Find Errors in Instruction-Tuning Datasets?Code0
Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge Selection—0
Reinforcement Learning for Generative AI: A Survey—0
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records—0
Planning with Logical Graph-based Language Model for Instruction Generation—0
On the Depth between Beam Search and Exhaustive Search for Text Generation—0
GeoExplainer: A Visual Analytics Framework for Spatial Modeling Contextualization and Report GenerationCode0
Leveraging Language Model Capabilities for Sound Event Detection—0
Dynamic Strategy Chain: Dynamic Zero-Shot CoT for Long Mental Health Support Generation—0
Data-to-text Generation for Severely Under-Resourced Languages with GPT-3.5: A Bit of Help Needed from Google TranslateCode0
Semantic Consistency for Assuring Reliability of Large Language Models—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