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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 1751–1800 of 5335 papers

TitleStatusHype
Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling—0
THaMES: An End-to-End Tool for Hallucination Mitigation and Evaluation in Large Language ModelsCode0
ReflectDiffu:Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework—0
MGSA: Multi-Granularity Graph Structure Attention for Knowledge Graph-to-Text Generation—0
PersonaMark: Personalized LLM watermarking for model protection and user attribution—0
NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training—0
On the Generalizability of Foundation Models for Crop Type MappingCode0
Towards Diverse and Efficient Audio Captioning via Diffusion Models—0
Transformer with Controlled Attention for Synchronous Motion CaptioningCode0
Reranking Laws for Language Generation: A Communication-Theoretic Perspective—0
Table-to-Text Generation with Pretrained Diffusion Models—0
Enhancing Large Language Models with Domain-Specific Knowledge: The Case in Topological Materials—0
LLMs Will Always Hallucinate, and We Need to Live With This—0
Elsevier Arena: Human Evaluation of Chemistry/Biology/Health Foundational Large Language Models—0
Identity-related Speech Suppression in Generative AI Content Moderation—0
Adversarial Attacks on Data AttributionCode0
LoCa: Logit Calibration for Knowledge Distillation—0
Chain-of-Translation Prompting (CoTR): A Novel Prompting Technique for Low Resource Languages—0
Bypassing DARCY Defense: Indistinguishable Universal Adversarial Triggers—0
CLUE: Concept-Level Uncertainty Estimation for Large Language Models—0
LLM-Assisted Visual Analytics: Opportunities and Challenges—0
OpenFact at CheckThat! 2024: Combining Multiple Attack Methods for Effective Adversarial Text Generation—0
Well, that escalated quickly: The Single-Turn Crescendo Attack (STCA)Code0
Deconfounded Causality-aware Parameter-Efficient Fine-Tuning for Problem-Solving Improvement of LLMs—0
How Privacy-Savvy Are Large Language Models? A Case Study on Compliance and Privacy Technical Review—0
Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling—0
A Perspective on Literary Metaphor in the Context of Generative AI—0
Masked Mixers for Language Generation and RetrievalCode0
Training Ultra Long Context Language Model with Fully Pipelined Distributed Transformer—0
HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications—0
Making the Most of your Model: Methods for Finetuning and Applying Pretrained Transformers—0
The Unreasonable Ineffectiveness of Nucleus Sampling on Mitigating Text MemorizationCode0
Generative Verifiers: Reward Modeling as Next-Token Prediction—0
Predictability and Causality in Spanish and English Natural Language Generation—0
MODOC: A Modular Interface for Flexible Interlinking of Text Retrieval and Text Generation FunctionsCode0
Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data—0
DHP Benchmark: Are LLMs Good NLG Evaluators?—0
Urban Mobility Assessment Using LLMs—0
Preference-Guided Reflective Sampling for Aligning Language ModelsCode0
Clinical Insights: A Comprehensive Review of Language Models in Medicine—0
Clinical Context-aware Radiology Report Generation from Medical Images using Transformers—0
Xinyu: An Efficient LLM-based System for Commentary Generation—0
Probabilistic Medical Predictions of Large Language Models—0
WeQA: A Benchmark for Retrieval Augmented Generation in Wind Energy Domain—0
Analysis of Plan-based Retrieval for Grounded Text Generation—0
DELIA: Diversity-Enhanced Learning for Instruction Adaptation in Large Language Models—0
Rhyme-aware Chinese lyric generator based on GPT—0
R2GenCSR: Retrieving Context Samples for Large Language Model based X-ray Medical Report Generation—0
Unraveling Text Generation in LLMs: A Stochastic Differential Equation Approach—0
Automatic Metrics in Natural Language Generation: A Survey of Current Evaluation PracticesCode0
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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