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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 651–700 of 5335 papers

TitleStatusHype
Peptide-GPT: Generative Design of Peptides using Generative Pre-trained Transformers and Bio-informatic SupervisionCode1
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies—0
RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation FrameworkCode0
LLM Tree Search—0
kNN For Whisper And Its Effect On Bias And Speaker Adaptation—0
Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification—0
Towards Visual Text Design Transfer Across Languages—0
Scaling up Masked Diffusion Models on TextCode3
Towards Better Open-Ended Text Generation: A Multicriteria Evaluation FrameworkCode0
Generation of Indian Sign Language Letters, Numbers, and WordsCode0
Multilingual Hallucination Gaps in Large Language Models—0
Large Language Models Still Exhibit Bias in Long Text—0
Large Language Models Engineer Too Many Simple Features For Tabular DataCode0
LMLPA: Language Model Linguistic Personality Assessment—0
Benchmarking Foundation Models on Exceptional Cases: Dataset Creation and ValidationCode0
PerspectiveNet: Multi-View Perception for Dynamic Scene Understanding—0
Enhancing Answer Attribution for Faithful Text Generation with Large Language Models—0
Beyond Retrieval: Generating Narratives in Conversational Recommender Systems—0
RKadiyala at SemEval-2024 Task 8: Black-Box Word-Level Text Boundary Detection in Partially Machine Generated Texts—0
Natural Language Processing for Human Resources: A SurveyCode0
Large Language Models in Computer Science Education: A Systematic Literature ReviewCode0
Elucidating the design space of language models for image generationCode1
Resource-Efficient Medical Report Generation using Large Language Models—0
ConTReGen: Context-driven Tree-structured Retrieval for Open-domain Long-form Text Generation—0
When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?—0
Theoretical Aspects of Bias and Diversity in Minimum Bayes Risk DecodingCode0
BrainECHO: Semantic Brain Signal Decoding through Vector-Quantized Spectrogram Reconstruction for Whisper-Enhanced Text Generation—0
Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffusion—0
Personalized Image Generation with Large Multimodal ModelsCode1
MediTOD: An English Dialogue Dataset for Medical History Taking with Comprehensive Annotations—0
A Lightweight Multi Aspect Controlled Text Generation Solution For Large Language Models—0
Generating Signed Language Instructions in Large-Scale Dialogue SystemsCode0
Debiasing Large Vision-Language Models by Ablating Protected Attribute Representations—0
How Does Knowledge Selection Help Retrieval Augmented Generation?—0
AsymKV: Enabling 1-Bit Quantization of KV Cache with Layer-Wise Asymmetric Quantization Configurations—0
Enhancing Text Generation in Joint NLG/NLU Learning Through Curriculum Learning, Semi-Supervised Training, and Advanced Optimization Techniques—0
BiasJailbreak:Analyzing Ethical Biases and Jailbreak Vulnerabilities in Large Language ModelsCode0
Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation—0
Large Language Models are Easily Confused: A Quantitative Metric, Security Implications and Typological Analysis—0
Jailbreaking LLM-Controlled Robots—0
Repetition Neurons: How Do Language Models Produce Repetitions?—0
Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-ExplorationCode0
On A Scale From 1 to 5: Quantifying Hallucination in Faithfulness Evaluation—0
PromptExp: Multi-granularity Prompt Explanation of Large Language Models—0
An Automatic and Cost-Efficient Peer-Review Framework for Language Generation Evaluation—0
Large Language Models as a Tool for Mining Object Knowledge—0
Evaluating Morphological Compositional Generalization in Large Language ModelsCode2
Towards More Effective Table-to-Text Generation: Assessing In-Context Learning and Self-Evaluation with Open-Source Models—0
Improving Instruction-Following in Language Models through Activation Steering—0
OMCAT: Omni Context Aware Transformer—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