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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 4301–4350 of 5335 papers

TitleStatusHype
DU-VLG: Unifying Vision-and-Language Generation via Dual Sequence-to-Sequence Pre-training—0
D.Va: Validate Your Demonstration First Before You Use It—0
Dynamic population-based meta-learning for multi-agent communication with natural language—0
Dynamic Scheduled Sampling with Imitation Loss for Neural Text Generation—0
Dynamic Self-Distillation via Previous Mini-batches for Fine-tuning Small Language Models—0
Dynamic Strategy Chain: Dynamic Zero-Shot CoT for Long Mental Health Support Generation—0
Dynamic Topic Tracker for KB-to-Text Generation—0
DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling—0
DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation—0
E2E-AFG: An End-to-End Model with Adaptive Filtering for Retrieval-Augmented Generation—0
E2E NLG Challenge Submission: Towards Controllable Generation of Diverse Natural Language—0
EASE: Extractive-Abstractive Summarization with Explanations—0
EASE: Extractive-Abstractive Summarization End-to-End using the Information Bottleneck Principle—0
Easy Things First: Installments Improve Referring Expression Generation for Objects in Photographs—0
E-commerce Query-based Generation based on User Review—0
eC-Tab2Text: Aspect-Based Text Generation from e-Commerce Product Tables—0
EEG2TEXT-CN: An Exploratory Study of Open-Vocabulary Chinese Text-EEG Alignment via Large Language Model and Contrastive Learning on ChineseEEG—0
Effective Context Selection in LLM-based Leaderboard Generation: An Empirical Study—0
Effective Unsupervised Constrained Text Generation based on Perturbed Masking—0
Effective Unsupervised Constrained Text Generation based on Perturbed Masking—0
Effect of Data Annotation, Feature Selection and Model Choice on Spatial Description Generation in French—0
Efficient Length-Generalizable Attention via Causal Retrieval for Long-Context Language Modeling—0
Efficient Model-Agnostic Multi-Group Equivariant Networks—0
Efficient Reinforcement Learning for Unsupervised Controlled Text Generation—0
Efficient text generation of user-defined topic using generative adversarial networks—0
EgoCoder: Intelligent Program Synthesis with Hierarchical Sequential Neural Network Model—0
EgoLM: Multi-Modal Language Model of Egocentric Motions—0
EIPE-text: Evaluation-Guided Iterative Plan Extraction for Long-Form Narrative Text Generation—0
Eliciting Fine-Tuned Transformer Capabilities via Inference-Time Techniques—0
ELSA: A Style Aligned Dataset for Emotionally Intelligent Language Generation—0
Elsevier Arena: Human Evaluation of Chemistry/Biology/Health Foundational Large Language Models—0
Embedding-Aligned Language Models—0
Embodied-RAG: General Non-parametric Embodied Memory for Retrieval and Generation—0
Emerging Security Challenges of Large Language Models—0
EmojiGAN: learning emojis distributions with a generative model—0
Emotional Intelligence of Large Language Models—0
Emotional Manipulation Through Prompt Engineering Amplifies Disinformation Generation in AI Large Language Models—0
Emotion and Sentiment Guided Paraphrasing—0
Emotion-Conditioned Text Generation through Automatic Prompt Optimization—0
Emotion Style Transfer with a Specified Intensity Using Deep Reinforcement Learning—0
Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging—0
Empirical Determination of Basic Heuristics for Narrative Content Planning—0
Empirical Study of Large Language Models as Automated Essay Scoring Tools in English Composition__Taking TOEFL Independent Writing Task for Example—0
Empirical Validation of Reichenbach's Tense Framework—0
Empowering Backbone Models for Visual Text Generation with Input Granularity Control and Glyph-Aware Training—0
Enabling Language Models to Implicitly Learn Self-Improvement—0
Structured Chain-of-Thought Prompting for Code Generation—0
Enabling Efficient On-Device Fine-Tuning of LLMs Using Only Inference Engines—0
Enabling text readability awareness during the micro planning phase of NLG applications—0
Enabling Transitivity for Lexical Inference on Chinese Verbs Using Probabilistic Soft Logic—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