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text generation

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Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Jun 4, 2025 · Artificial Intelligence

From Sub-Ability Diagnosis to Human-Aligned Generation: Bridging the Gap for Text Length Control via MARKERGEN

MarkerGen introduces a novel, plug‑and‑play framework that decomposes length‑controllable text generation into four sub‑abilities—identifying, counting, planning, and aligning—integrates external tokenizers and dynamic markers, and achieves significantly lower length errors and higher quality across diverse models, tasks, and languages.

LLMLength-Controlled GenerationMarkerGen
0 likes · 14 min read
From Sub-Ability Diagnosis to Human-Aligned Generation: Bridging the Gap for Text Length Control via MARKERGEN
Instant Consumer Technology Team
Instant Consumer Technology Team
May 16, 2025 · Artificial Intelligence

Smart AI‑Powered Push Copy: From Templates to Sampling Strategies

This article explores how high‑quality content assets—text, images, and video—drive SEO and user engagement, then delves into the challenges of crafting push‑notification copy and presents an intelligent copy system that uses template and keyword generation, transformer models, BLEU and semantic similarity evaluation, and various sampling strategies to improve relevance and diversity.

AINLPPrompt Engineering
0 likes · 30 min read
Smart AI‑Powered Push Copy: From Templates to Sampling Strategies
Code Mala Tang
Code Mala Tang
Jul 17, 2024 · Artificial Intelligence

Run Transformers.js in the Browser with Google’s window.ai – Live Demo

This article introduces how to use the JavaScript library transformers.js directly in the browser, leveraging Google’s built‑in window.ai models, outlines supported AI tasks, demonstrates a live demo, and provides the core implementation code for model loading, worker communication, and text generation.

JavaScriptWeb Workersbrowser AI
0 likes · 5 min read
Run Transformers.js in the Browser with Google’s window.ai – Live Demo
DataFunSummit
DataFunSummit
Feb 21, 2024 · Artificial Intelligence

Applying Knowledge Graphs to E‑commerce AIGC: From Domain to General KG and Large Language Models

This article presents a comprehensive overview of how knowledge graphs are integrated into e‑commerce AIGC pipelines, covering domain‑specific and generic KG‑driven text generation, model architecture, controllable generation techniques, experimental results, and future directions for large language models in commercial settings.

AIAIGCE-commerce
0 likes · 23 min read
Applying Knowledge Graphs to E‑commerce AIGC: From Domain to General KG and Large Language Models
DataFunTalk
DataFunTalk
Jan 16, 2024 · Artificial Intelligence

Applying Knowledge Graphs to E‑commerce AIGC: From Domain‑Specific to General Knowledge Graphs and LLM Integration

This article presents a comprehensive overview of how knowledge graphs are leveraged in e‑commerce AIGC pipelines, detailing domain‑specific and general graph‑based text generation, model architecture, controllable generation techniques, experimental results, and future directions for large language model integration.

AIGCE-commerceKnowledge Graph
0 likes · 22 min read
Applying Knowledge Graphs to E‑commerce AIGC: From Domain‑Specific to General Knowledge Graphs and LLM Integration
Baidu Geek Talk
Baidu Geek Talk
Aug 21, 2023 · Artificial Intelligence

Decoding Strategies for Generative Models: Top‑k, Top‑p, Contrastive Search, Beam Search, and Sampling

The article explains how generative models use deterministic methods like greedy and beam search and stochastic techniques such as top‑k, top‑p, contrastive search and sampling, describing their mechanisms, temperature control, repetition penalties, and practical trade‑offs for balancing fluency, diversity and coherence.

AIbeam searchcontrastive search
0 likes · 9 min read
Decoding Strategies for Generative Models: Top‑k, Top‑p, Contrastive Search, Beam Search, and Sampling
Architect
Architect
Jul 1, 2023 · Artificial Intelligence

Comprehensive Guide to Text Generation Decoding Strategies with HuggingFace Transformers

This tutorial explores various text generation decoding methods—including greedy search, beam search, top‑k/top‑p sampling, sample‑and‑rank, and group beam search—explaining their principles, providing detailed Python code examples, and comparing their use in modern large language models.

HuggingFaceTransformersbeam search
0 likes · 59 min read
Comprehensive Guide to Text Generation Decoding Strategies with HuggingFace Transformers
DataFunTalk
DataFunTalk
Jun 17, 2023 · Artificial Intelligence

Research on Text Generation for Structured Data

This article reviews the rapidly evolving field of structured‑data text generation, covering AI development stages, core concepts, model architectures from pipeline to pretrained transformers, key challenges such as content selection, numeric representation, reasoning and style control, and outlines recent research directions and Q&A insights.

AInumeric reasoningpretrained models
0 likes · 21 min read
Research on Text Generation for Structured Data
Tencent Cloud Developer
Tencent Cloud Developer
Jun 1, 2023 · Artificial Intelligence

A Comprehensive Guide to Decoding Strategies for Text Generation with HuggingFace Transformers

This guide thoroughly explains the major decoding strategies for neural text generation in HuggingFace Transformers—including greedy, beam, diverse beam, sampling, top‑k, top‑p, sample‑and‑rank, beam sampling, and group beam search—detailing their principles, Python implementations with LogitsProcessor components, workflow diagrams, comparative analysis, and references to original research.

HuggingFaceNatural Language ProcessingTransformers
0 likes · 60 min read
A Comprehensive Guide to Decoding Strategies for Text Generation with HuggingFace Transformers
Airbnb Technology Team
Airbnb Technology Team
May 23, 2023 · Artificial Intelligence

Applying Text Generation Models to Scalable Customer Support at Airbnb

Airbnb replaced its XLM‑RoBERTa ranking with an MT5 encoder‑decoder for content recommendation, built a real‑time generative assistant for reply suggestions and intent detection, and deployed a T5‑based paraphrase chatbot, showing that large‑scale pre‑trained transformers improve relevance, agent efficiency, and user satisfaction.

AIAirbnbCustomer Support
0 likes · 12 min read
Applying Text Generation Models to Scalable Customer Support at Airbnb
DataFunSummit
DataFunSummit
Jan 15, 2023 · Artificial Intelligence

Intelligent Writing: AIGC Technologies, Models, Evaluation Metrics, and Real‑World Applications

This article surveys the evolution of AI‑generated content for intelligent writing, covering its definition, key technologies from RNN Seq2Seq to Transformer‑based models such as UniLM, T5, BART and GPT series, evaluation datasets and metrics, product deployments by Datagrand, and the remaining challenges and future directions.

AI writingAIGCGPT
0 likes · 25 min read
Intelligent Writing: AIGC Technologies, Models, Evaluation Metrics, and Real‑World Applications
Baidu Geek Talk
Baidu Geek Talk
Oct 26, 2022 · Artificial Intelligence

Exploring Automatic Advertising Copy Generation: Techniques, Practices, and Future Directions

The article surveys automatic advertising copy generation, detailing why optimization is needed, the fundamentals of neural text generation with Seq2Seq and attention, extractive versus abstractive approaches, modern embeddings and MASS pre‑training, practical data and evaluation methods, and future enhancements such as multi‑stage attention, knowledge integration, and large pre‑trained models.

AIMASSNLG
0 likes · 21 min read
Exploring Automatic Advertising Copy Generation: Techniques, Practices, and Future Directions
DataFunTalk
DataFunTalk
Sep 27, 2022 · Artificial Intelligence

Contrastive Learning for Text Generation: Motivation, Methodology, Experiments, and Discussion (CoNT Framework)

This article reviews the integration of contrastive learning into text generation, explains why it helps mitigate exposure bias, introduces the CoNT framework with three key improvements, presents extensive experiments on translation, summarization, code comment and data‑to‑text tasks, and discusses practical deployment considerations.

AICoNTNatural Language Processing
0 likes · 21 min read
Contrastive Learning for Text Generation: Motivation, Methodology, Experiments, and Discussion (CoNT Framework)
Alimama Tech
Alimama Tech
Jun 8, 2022 · Artificial Intelligence

CTR-Driven Advertising Text Generation and Bundle Creative Optimization (CREATER & CONNA)

Alibaba’s advertising team introduces CREATER, a CTR‑driven text generator that leverages user reviews, aspect control codes, and contrastive fine‑tuning, and CONNA, a non‑autoregressive bundle creator that predicts heterogeneous ad elements with set‑based loss, both delivering substantial online CTR gains and CPC reductions through dynamic creative optimization.

Dynamic creative optimizationNLPadvertising
0 likes · 25 min read
CTR-Driven Advertising Text Generation and Bundle Creative Optimization (CREATER & CONNA)
DataFunTalk
DataFunTalk
May 25, 2022 · Artificial Intelligence

Optimizing E-commerce Product Copy Generation: Challenges, Framework, and System Practices

This article presents a comprehensive overview of the challenges in e‑commerce product copy generation, introduces a unified framework comprising a copy generation system, a copy‑cleaning subsystem, and a quality evaluation module, and details practical optimization techniques applied to short and long copy scenarios.

AIE-commercedata cleaning
0 likes · 17 min read
Optimizing E-commerce Product Copy Generation: Challenges, Framework, and System Practices
DataFunTalk
DataFunTalk
May 13, 2022 · Artificial Intelligence

Design and Applications of AI‑to‑AI Conversational Systems in Immersive Virtual Social Environments

This article explores why AI‑to‑AI dialogue is needed, outlines the overall architecture of an AI conversation system, details text‑generation and voice‑synthesis techniques, and examines how such technology can power immersive metaverse social experiences, illustrated with the XiaoIce Island platform.

AI conversationdialogue systemsmetaverse
0 likes · 21 min read
Design and Applications of AI‑to‑AI Conversational Systems in Immersive Virtual Social Environments
DataFunTalk
DataFunTalk
May 7, 2022 · Artificial Intelligence

Intelligent Recommendation Selling Point Generation: Architecture, Core AI Techniques, Model Development, and Product Impact

This article explains how JD's intelligent recommendation selling point system leverages NLP, BERT, Transformer and pointer‑generator models to automatically create short, personalized product highlights, describing the technical background, system architecture, model training pipeline, online/offline monitoring, and the resulting business benefits.

BERTE-commerceNLP
0 likes · 13 min read
Intelligent Recommendation Selling Point Generation: Architecture, Core AI Techniques, Model Development, and Product Impact
DataFunTalk
DataFunTalk
Dec 8, 2021 · Artificial Intelligence

NLG Solutions for E‑Commerce: DAMO Academy’s XGeneration, Word2Text, KG2Text, and Metaphor Generation

This talk presents DAMO Academy’s end‑to‑end NLG pipeline for e‑commerce, detailing the XGeneration content‑reproduction system, controllable short‑text generation models (PKM and PSCN), knowledge‑graph‑to‑text generation, metaphor generation, and their extensions to short‑video script creation and intelligent video editing, together with performance results and practical applications.

E-commerceKnowledge GraphMetaphor Generation
0 likes · 12 min read
NLG Solutions for E‑Commerce: DAMO Academy’s XGeneration, Word2Text, KG2Text, and Metaphor Generation
DataFunSummit
DataFunSummit
Dec 7, 2021 · Artificial Intelligence

NLG Solutions for E‑commerce: DAMO Academy’s XGeneration, Word2Text, KG2Text, and Metaphor Generation

This talk presents DAMO Academy’s end‑to‑end NLG pipeline for e‑commerce, covering the XGeneration content‑reproduction system, controllable short‑text generation models (PKM, PSCN), KG‑to‑text conversion, metaphor generation, and new‑media extensions such as short‑video script creation and intelligent video editing, together with experimental results and practical applications.

AIDAMO AcademyE-commerce
0 likes · 11 min read
NLG Solutions for E‑commerce: DAMO Academy’s XGeneration, Word2Text, KG2Text, and Metaphor Generation