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 1251–1300 of 5335 papers

TitleStatusHype
Not All LoRA Parameters Are Essential: Insights on Inference Necessity—0
Can DeepSeek Reason Like a Surgeon? An Empirical Evaluation for Vision-Language Understanding in Robotic-Assisted Surgery—0
The Reasoning-Memorization Interplay in Language Models Is Mediated by a Single Direction—0
The Challenge of Achieving Attributability in Multilingual Table-to-Text Generation with Question-Answer Blueprints—0
Exploiting Mixture-of-Experts Redundancy Unlocks Multimodal Generative Abilities—0
An Empirical Study of Validating Synthetic Data for Text-Based Person RetrievalCode0
Cognitive Prompts Using Guilford's Structure of Intellect Model—0
Local Normalization Distortion and the Thermodynamic Formalism of Decoding Strategies for Large Language Models—0
Controlling Large Language Model with Latent ActionsCode0
LeX-Art: Rethinking Text Generation via Scalable High-Quality Data Synthesis—0
Optimizing Safe and Aligned Language Generation: A Multi-Objective GRPO Approach—0
KSHSeek: Data-Driven Approaches to Mitigating and Detecting Knowledge-Shortcut Hallucinations in Generative Models—0
Improving RAG for Personalization with Author Features and Contrastive ExamplesCode0
Can LLMs Automate Fact-Checking Article Writing?—0
MultiScale Contextual Bandits for Long Term Objectives—0
Towards LLM Guardrails via Sparse Representation Steering—0
Assessing Consistency and Reproducibility in the Outputs of Large Language Models: Evidence Across Diverse Finance and Accounting Tasks—0
Zero-Shot Styled Text Image Generation, but Make It Autoregressive—0
LLM Braces: Straightening Out LLM Predictions with Relevant Sub-Updates—0
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey—0
Fùxì: A Benchmark for Evaluating Language Models on Ancient Chinese Text Understanding and GenerationCode0
Natural Language Generation—0
ATTENTION2D: Communication Efficient Distributed Self-Attention Mechanism—0
A Review on Large Language Models for Visual Analytics—0
TROVE: A Challenge for Fine-Grained Text Provenance via Source Sentence Tracing and Relationship Classification—0
R^2: A LLM Based Novel-to-Screenplay Generation Framework with Causal Plot Graphs—0
Advancing Deep Learning through Probability Engineering: A Pragmatic Paradigm for Modern AI—0
Benchmarking Failures in Tool-Augmented Language ModelsCode0
From Head to Tail: Towards Balanced Representation in Large Vision-Language Models through Adaptive Data Calibration—0
TextInVision: Text and Prompt Complexity Driven Visual Text Generation Benchmark—0
REPA: Russian Error Types Annotation for Evaluating Text Generation and Judgment Capabilities—0
State Fourier Diffusion Language Model (SFDLM): A Scalable, Novel Iterative Approach to Language Modeling—0
VeriMind: Agentic LLM for Automated Verilog Generation with a Novel Evaluation Metric—0
Applications of Large Language Model Reasoning in Feature Generation—0
Watch and Learn: Leveraging Expert Knowledge and Language for Surgical Video Understanding—0
API Agents vs. GUI Agents: Divergence and Convergence—0
Text Compression for Efficient Language Generation—0
Palette of Language Models: A Solver for Controlled Text Generation—0
Ensemble Learning for Large Language Models in Text and Code Generation: A Survey—0
Through the Magnifying Glass: Adaptive Perception Magnification for Hallucination-Free VLM DecodingCode0
VaxGuard: A Multi-Generator, Multi-Type, and Multi-Role Dataset for Detecting LLM-Generated Vaccine Misinformation—0
Sometimes Painful but Certainly Promising: Feasibility and Trade-offs of Language Model Inference at the Edge—0
Constrained Language Generation with Discrete Diffusion Models—0
Stick to Facts: Towards Fidelity-oriented Product Description Generation—0
Understanding the Quality-Diversity Trade-off in Diffusion Language ModelsCode0
Benchmarking Chinese Medical LLMs: A Medbench-based Analysis of Performance Gaps and Hierarchical Optimization Strategies—0
CtrlRAG: Black-box Adversarial Attacks Based on Masked Language Models in Retrieval-Augmented Language Generation—0
Green Prompting—0
UniGenX: Unified Generation of Sequence and Structure with Autoregressive Diffusion—0
Personalized Text Generation with Contrastive Activation Steering—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