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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 3751–3800 of 5335 papers

TitleStatusHype
Bailicai: A Domain-Optimized Retrieval-Augmented Generation Framework for Medical Applications—0
Balancing Effect of Training Dataset Distribution of Multiple Styles for Multi-Style Text Transfer—0
Balancing via Generation for Multi-Class Text Classification Improvement—0
BanditSpec: Adaptive Speculative Decoding via Bandit Algorithms—0
Barch: an English Dataset of Bar Chart Summaries—0
BART-light: One Decoder Layer Is Enough—0
Basic Principles for Segmenting Thai EDUs—0
Bayesian WeakS-to-Strong from Text Classification to Generation—0
BEADs: Bias Evaluation Across Domains—0
Behavior of Modern Pre-trained Language Models Using the Example of Probing Tasks—0
Being data-driven is not enough: Revisiting interactive instruction giving as a challenge for NLG—0
BENCHAGENTS: Automated Benchmark Creation with Agent Interaction—0
Benchmarking Chinese Medical LLMs: A Medbench-based Analysis of Performance Gaps and Hierarchical Optimization Strategies—0
Benchmarking Large Language Model Capabilities for Conditional Generation—0
Benchmarking Multimodal Models for Ukrainian Language Understanding Across Academic and Cultural Domains—0
Benchmarking Next-Generation Reasoning-Focused Large Language Models in Ophthalmology: A Head-to-Head Evaluation on 5,888 Items—0
BenLLMEval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP—0
BERT 4EVER@LT-EDI-ACL2022-Detecting signs of Depression from Social Media:Detecting Depression in Social Media using Prompt-Learning and Word-Emotion Cluster—0
What BERT Sees: Cross-Modal Transfer for Visual Question Generation—0
BERT for Question Generation—0
BERT vs GPT for financial engineering—0
Best-k Search Algorithm for Neural Text Generation—0
Best Practices for Data-Efficient Modeling in NLG:How to Train Production-Ready Neural Models with Less Data—0
Best practices for the human evaluation of automatically generated text—0
Best Student Forcing: A Simple Training Mechanism in Adversarial Language Generation—0
Better Distractions: Transformer-based Distractor Generation and Multiple Choice Question Filtering—0
BetterV: Controlled Verilog Generation with Discriminative Guidance—0
Beyond Flat Text: Dual Self-inherited Guidance for Visual Text Generation—0
Beyond Generative Artificial Intelligence: Roadmap for Natural Language Generation—0
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts—0
Beyond Reality: The Pivotal Role of Generative AI in the Metaverse—0
Beyond Traditional Benchmarks: Analyzing Behaviors of Open LLMs on Data-to-Text Generation—0
Beyond Retrieval: Generating Narratives in Conversational Recommender Systems—0
Beyond Sight: Finetuning Generalist Robot Policies with Heterogeneous Sensors via Language Grounding—0
Beyond Text Generation: Supporting Writers with Continuous Automatic Text Summaries—0
LLMs May Perform MCQA by Selecting the Least Incorrect Option—0
Beyond Turing: A Comparative Analysis of Approaches for Detecting Machine-Generated Text—0
BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs—0
Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation—0
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand—0
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation—0
Big Bidirectional Insertion Representations for Documents—0
Bilingual-GAN: A Step Towards Parallel Text Generation—0
BinLin: A Simple Method of Dependency Tree Linearization—0
BioInstruct: Instruction Tuning of Large Language Models for Biomedical Natural Language Processing—0
Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data—0
Black Box to White Box: Discover Model Characteristics Based on Strategic Probing—0
BLEU Neighbors: A Reference-less Approach to Automatic Evaluation—0
Blogging birds: Generating narratives about reintroduced species to promote public engagement—0
Book Review: Automatic Text Simplification by Horacio Saggion—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