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 351–400 of 5335 papers

TitleStatusHype
Energy-Conscious LLM Decoding: Impact of Text Generation Strategies on GPU Energy Consumption—0
AAKT: Enhancing Knowledge Tracing with Alternate Autoregressive ModelingCode0
A Survey on Bridging EEG Signals and Generative AI: From Image and Text to Beyond—0
Exploring Contextual Flux in Large Language Models: A Novel Approach to Self-Modulating Semantic Networks—0
Improved Unbiased Watermark for Large Language Models—0
CacheFocus: Dynamic Cache Re-Positioning for Efficient Retrieval-Augmented Generation—0
LogiDynamics: Unraveling the Dynamics of Logical Inference in Large Language Model Reasoning—0
Quantifying the Capability Boundary of DeepSeek Models: An Application-Driven Performance Analysis—0
Knowledge Graph-Driven Retrieval-Augmented Generation: Integrating Deepseek-R1 with Weaviate for Advanced Chatbot ApplicationsCode1
Exposing Numeracy Gaps: A Benchmark to Evaluate Fundamental Numerical Abilities in Large Language ModelsCode1
ReLearn: Unlearning via Learning for Large Language ModelsCode1
Prompt Inject Detection with Generative Explanation as an Investigative Tool—0
Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent SystemsCode2
Multilingual Encoder Knows more than You Realize: Shared Weights Pretraining for Extremely Low-Resource LanguagesCode0
A Judge-free LLM Open-ended Generation Benchmark Based on the Distributional HypothesisCode2
Structured Convergence in Large Language Model Representations via Hierarchical Latent Space Folding—0
Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning—0
Theoretical Benefit and Limitation of Diffusion Language Model—0
Data2Concept2Text: An Explainable Multilingual Framework for Data Analysis Narration—0
Explanation based In-Context Demonstrations Retrieval for Multilingual Grammatical Error CorrectionCode0
Lexical Manifold Reconfiguration in Large Language Models: A Novel Architectural Approach for Contextual Modulation—0
Style Extraction on Text Embeddings Using VAE and Parallel Dataset—0
Contextual Compression Encoding for Large Language Models: A Novel Framework for Multi-Layered Parameter Space Pruning—0
Bridging Brain Signals and Language: A Deep Learning Approach to EEG-to-Text Decoding—0
Hallucination, Monofacts, and Miscalibration: An Empirical InvestigationCode0
Bridging LLM-Generated Code and Requirements: Reverse Generation technique and SBC Metric for Developer InsightsCode0
Exploring Mobile Touch Interaction with Large Language Models—0
Latent Convergence Modulation in Large Language Models: A Novel Approach to Iterative Contextual Realignment—0
Debiasing Guidance for Discrete Diffusion with Sequential Monte Carlo—0
LANTERN++: Enhancing Relaxed Speculative Decoding with Static Tree Drafting for Visual Auto-regressive ModelsCode1
SMAB: MAB based word Sensitivity Estimation Framework and its Applications in Adversarial Text GenerationCode0
Structural Reformation of Large Language Model Neuron Encapsulation for Divergent Information Aggregation—0
Position: It's Time to Act on the Risk of Efficient Personalized Text Generation—0
Few-shot_LLM_Synthetic_Data_with_Distribution_MatchingCode0
Saving 77% of the Parameters in Large Language Models Technical ReportCode2
UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and UnderstandingCode1
Claim Extraction for Fact-Checking: Data, Models, and Automated Metrics—0
AdParaphrase: Paraphrase Dataset for Analyzing Linguistic Features toward Generating Attractive Ad TextsCode0
Enhancing Impression Change Prediction in Speed Dating Simulations Based on Speakers' Personalities—0
Beautiful Images, Toxic Words: Understanding and Addressing Offensive Text in Generated ImagesCode0
Controlled LLM Decoding via Discrete Auto-regressive BiasingCode0
Hierarchical Contextual Manifold Alignment for Structuring Latent Representations in Large Language Models—0
Towards Cost-Effective Reward Guided Text Generation—0
Experiments with Large Language Models on Retrieval-Augmented Generation for Closed-Source Simulation Software—0
Can Grammarly and ChatGPT accelerate language change? AI-powered technologies and their impact on the English language: wordiness vs. conciseness—0
Context-Preserving Gradient Modulation for Large Language Models: A Novel Approach to Semantic Consistency in Long-Form Text Generation—0
MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf—0
Path Planning for Masked Diffusion Model Sampling—0
CodeSteer: Symbolic-Augmented Language Models via Code/Text GuidanceCode2
Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented GenerationCode4
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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