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

Showing 25262550 of 5335 papers

TitleStatusHype
AfriKI: Machine-in-the-Loop Afrikaans Poetry Generation0
A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation0
Empowering Backbone Models for Visual Text Generation with Input Granularity Control and Glyph-Aware Training0
Empirical Validation of Reichenbach's Tense Framework0
Calibrating Sequence likelihood Improves Conditional Language Generation0
Empirical Study of Large Language Models as Automated Essay Scoring Tools in English Composition__Taking TOEFL Independent Writing Task for Example0
Empirical Determination of Basic Heuristics for Narrative Content Planning0
Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging0
CaLcs: Continuously Approximating Longest Common Subsequence for Sequence Level Optimization0
A French Corpus for Semantic Similarity0
Emotion Style Transfer with a Specified Intensity Using Deep Reinforcement Learning0
Emotion-Conditioned Text Generation through Automatic Prompt Optimization0
CacheFocus: Dynamic Cache Re-Positioning for Efficient Retrieval-Augmented Generation0
Emotion and Sentiment Guided Paraphrasing0
A RAG-Based Institutional Assistant0
Emotional Manipulation Through Prompt Engineering Amplifies Disinformation Generation in AI Large Language Models0
Emotional Intelligence of Large Language Models0
EmojiGAN: learning emojis distributions with a generative model0
Bypassing DARCY Defense: Indistinguishable Universal Adversarial Triggers0
A Framework for the Generation of Computer System Diagnostics in Natural Language using Finite State Methods0
Active Learning for Natural Language Generation0
Emerging Security Challenges of Large Language Models0
Embodied-RAG: General Non-parametric Embodied Memory for Retrieval and Generation0
BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation0
Embedding-Aligned Language Models0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1T5B BaselineBLEU48.74Unverified
2FactT5BBLEU48.37Unverified
3JointGT BaselineBLEU47.51Unverified
4FactJointGTBLEU47.39Unverified
5Control Prefixes (T5-large)METEOR0.41Unverified
6T5METEOR0.12Unverified
7BARTMETEOR0.11Unverified
#ModelMetricClaimedVerifiedStatus
1LeakGANBLEU-20.95Unverified
2partGANBLEU-20.91Unverified
3RankGANBLEU-20.85Unverified
4RelGAN (100)BLEU-20.85Unverified
5SeqGANBLEU-20.83Unverified
#ModelMetricClaimedVerifiedStatus
1LeakGANBLEU-20.96Unverified
2PPOGANBLEU-20.91Unverified
3RelGANBLEU-20.88Unverified
4SeqGANBLEU-20.86Unverified
5RankGANBLEU-20.78Unverified
#ModelMetricClaimedVerifiedStatus
1UniCRSDistinct-30.65Unverified
2CRFRDistinct-30.52Unverified
3KGSFDistinct-30.43Unverified
4C2CRSDistinct-30.33Unverified
5KBRDDistinct-30.3Unverified
#ModelMetricClaimedVerifiedStatus
1UniLMCIDEr14.92Unverified
2BART (TextBox 2.0)CIDEr12.98Unverified
3BARTMETEOR0.3Unverified
4T5METEOR0.29Unverified
#ModelMetricClaimedVerifiedStatus
1Beam search + A*esque (beam)BLEU-134.4Unverified
2Beam search + A*esque (sample)BLEU-134.4Unverified
3Beam search + A*esque (greedy)BLEU-134.3Unverified
4Beam searchBLEU-133.7Unverified
#ModelMetricClaimedVerifiedStatus
1RankGANBLEU-20.81Unverified
2SeqGANBLEU-20.74Unverified
3LeakGANBLEU-20.46Unverified
#ModelMetricClaimedVerifiedStatus
1TGen++METEOR0.17Unverified
2TGenMETEOR0.15Unverified
3TGen+METEOR0.15Unverified
#ModelMetricClaimedVerifiedStatus
1GPT2-124Meval_loss3.12Unverified
2GPT2-81M-LOOPeval_loss3.11Unverified
3GPT2-Hermiteeval_loss2.91Unverified
#ModelMetricClaimedVerifiedStatus
1LLaMA-65B+CFG (zero-shot)Accuracy96.6Unverified
2LLaMA-30B+CFG (zero-shot)Accuracy96.4Unverified
3LLaMA-13B+CFG (zero-shot)Accuracy95.1Unverified
#ModelMetricClaimedVerifiedStatus
1CNN-VAENLL332.1Unverified
2SA-VAENLL327.5Unverified
3Aggressive VAENLL326.7Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)BLEU-410.2Unverified
#ModelMetricClaimedVerifiedStatus
1STWGAN-GPBLEU-30.62Unverified
#ModelMetricClaimedVerifiedStatus
1PALMROUGE-L41.41Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)ROUGE-L64.34Unverified
#ModelMetricClaimedVerifiedStatus
1AEM+AttentionBLEU-114.17Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-4ASR65.1Unverified
#ModelMetricClaimedVerifiedStatus
1BART (TextBox 2.0)ROUGE-L42.96Unverified
#ModelMetricClaimedVerifiedStatus
1Graph2SeqBLEU22Unverified
#ModelMetricClaimedVerifiedStatus
1WGANGP + DGflowJS-40.19Unverified