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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 3001–3050 of 5335 papers

TitleStatusHype
Resource for Error Analysis in Text Simplification: New Taxonomy and Test Collection—0
ReSpark: Leveraging Previous Data Reports as References to Generate New Reports with LLMs—0
Response Generation in Dialogue Using a Tailored PCFG Parser—0
Response Generation in Longitudinal Dialogues: Which Knowledge Representation Helps?—0
Restructuring Tractable Probabilistic Circuits—0
Resurrecting Submodularity for Neural Text Generation—0
Rethinking and Refining the Distinct Metric—0
Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization—0
Rethinking Radiology Report Generation via Causal Inspired Counterfactual Augmentation—0
Rethinking Self-Supervision Objectives for Generalizable Coherence Modeling—0
Rethinking the Agreement in Human Evaluation Tasks—0
Rethinking Uncertainty Estimation in Natural Language Generation—0
Retrieval-Augmented Controllable Review Generation—0
Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering—0
Retrieval-Augmented Multimodal Language Modeling—0
Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation—0
Retrieval Based Response Letter Generation For a Customer Care Setting—0
RETTA: Retrieval-Enhanced Test-Time Adaptation for Zero-Shot Video Captioning—0
Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models—0
Reusable Templates and Guides For Documenting Datasets and Models for Natural Language Processing and Generation: A Case Study of the HuggingFace and GEM Data and Model Cards—0
Reverse Engineering Configurations of Neural Text Generation Models—0
Reverse-Engineering Decoding Strategies Given Blackbox Access to a Language Generation System—0
Reversibility reconsidered: finite-state factors for efficient probabilistic sampling in parsing and generation—0
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning—0
RevisEval: Improving LLM-as-a-Judge via Response-Adapted References—0
Revisiting Automatic Question Summarization Evaluation in the Biomedical Domain—0
Revisiting Representation Degeneration Problem in Language Modeling—0
Reward Constrained Interactive Recommendation with Natural Language Feedback—0
Reward Gaming in Conditional Text Generation—0
Rewarding Semantic Similarity under Optimized Alignments for AMR-to-Text Generation—0
Reward Modeling for Mitigating Toxicity in Transformer-based Language Models—0
Reward-RAG: Enhancing RAG with Reward Driven Supervision—0
RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting—0
Rhyme-aware Chinese lyric generator based on GPT—0
Rich Morphology Generation Using Statistical Machine Translation—0
RIGOTRIO at SemEval-2017 Task 9: Combining Machine Learning and Grammar Engineering for AMR Parsing and Generation—0
RKadiyala at SemEval-2024 Task 8: Black-Box Word-Level Text Boundary Detection in Partially Machine Generated Texts—0
Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning—0
Robust Conversational AI with Grounded Text Generation—0
Robust Image Captioning—0
Robust multilingual statistical morphological generation models—0
Robustness Analysis of Grover for Machine-Generated News Detection—0
ROPO: Robust Preference Optimization for Large Language Models—0
Robust Reinforcement Learning from Corrupted Human Feedback—0
Role of Bias Terms in Dot-Product Attention—0
Romantic-Computing—0
RoMe: A Robust Metric for Evaluating Natural Language Generation—0
融合目标端句法的AMR-to-Text生成(AMR-to-Text Generation with Target Syntax)—0
ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning—0
RoViST: Learning Robust Metrics for Visual Storytelling—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 (sample)BLEU-134.4—Unverified
2Beam search + A*esque (beam)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