Generative Models

Instant Consumer Technology Team

Jun 4, 2025 · Artificial Intelligence

Unlocking Retrieval-Augmented Generation: Theory, Practice, and Future Trends

This comprehensive article examines Retrieval‑Augmented Generation (RAG), covering its historical evolution, core theory, implementation variants, practical code examples, diverse applications, current controversies, and future research directions within the AI and NLP landscape.

Artificial IntelligenceGenerative ModelsNatural Language Processing

0 likes · 21 min read

Unlocking Retrieval-Augmented Generation: Theory, Practice, and Future Trends

JD Tech

May 6, 2025 · Artificial Intelligence

One4All Generative Recommendation Framework for CPS Advertising

This article reviews recent advances in applying large language models to CPS advertising recommendation, outlines business requirements and core technical challenges, proposes an extensible multi‑task generative framework with explicit intent perception and multi‑objective optimization, and presents offline and online performance gains along with future research directions.

AI optimizationCPS AdvertisingGenerative Models

0 likes · 13 min read

One4All Generative Recommendation Framework for CPS Advertising

Xiaohongshu Tech REDtech

Feb 27, 2025 · Artificial Intelligence

SAFE: A Lightweight General AI Image Detection Method Achieving 96.7% Accuracy Across 33 Test Subsets

SAFE is a lightweight AI‑image detection framework using only 1.44 M parameters and 2.30 B FLOPs that preserves fine‑grained artifacts through crop‑based preprocessing, invariant augmentations, and high‑frequency wavelet features, achieving an average 96.7 % accuracy across 33 test subsets and strong generalization to unseen GAN and diffusion generators.

AI image detectionGenerative Modelscomputer vision

0 likes · 11 min read

SAFE: A Lightweight General AI Image Detection Method Achieving 96.7% Accuracy Across 33 Test Subsets

DaTaobao Tech

Jan 22, 2025 · Artificial Intelligence

AI Trends 2025: Paths to AGI, Scaling Law Evolution, and Industry Impact

The article surveys the AI revolution driven by foundation models and an evolving Scaling Law, outlining four AGI pathways—large models, intelligent robots, brain‑computer interfaces, and digital life—while highlighting transformer‑based convergence, generative‑first‑principle breakthroughs like DeepSeek‑V3, and transformative industry impacts ranging from consumer robots to Medical 2.0, personalized education, and digital‑simulation platforms such as NVIDIA’s Omniverse.

AGIAIAI Industry

0 likes · 23 min read

AI Trends 2025: Paths to AGI, Scaling Law Evolution, and Industry Impact

Alimama Tech

Dec 17, 2024 · Artificial Intelligence

Auto‑Bidding in Large‑Scale Auctions: The AIGB Paradigm and the AuctionNet Benchmark

At NeurIPS 2024, Alibaba's AliMama workshop introduced AIGB, a generative-model based auto-bidding solution, and released AuctionNet benchmark with billions of records; the competition attracted 1,861 participants across generative and uncertainty tracks, with winners earning prizes and internships, highlighting broader applications beyond advertising.

AuctionNetAuto-BiddingGenerative Models

0 likes · 12 min read

Auto‑Bidding in Large‑Scale Auctions: The AIGB Paradigm and the AuctionNet Benchmark

Kuaishou Tech

Dec 17, 2024 · Artificial Intelligence

NeurIPS 2024 Auto‑Bidding in Large‑Scale Auctions: Kuaishou Team Wins Both General and AIGB Tracks

The NeurIPS 2024 Auto‑Bidding competition attracted over 15,000 submissions and 1,500 teams, featuring two tracks—General and AI‑Generated Bidding—where Kuaishou’s commercial algorithm team secured first place in both by leveraging reinforcement‑learning‑based online exploration and a decision‑transformer‑driven generative approach, achieving more than a 5% lift in ad revenue.

Generative ModelsKuaishouNeurIPS

0 likes · 13 min read

NeurIPS 2024 Auto‑Bidding in Large‑Scale Auctions: Kuaishou Team Wins Both General and AIGB Tracks

Alimama Tech

Jul 2, 2024 · Artificial Intelligence

NeurIPS 2024 Competition: Auto-Bidding in Large-Scale Auctions

The 2024 NeurIPS Competition, organized by Peking University's PAAI lab and Alibaba‑Mama, challenges teams to build auto‑bidding agents—using generative models for the AIGB Track or handling uncertainty for the General Track—to maximize ad performance in large‑scale auctions, with registration open until August 8 and prize pools up to $6,000 per track.

Auto-BiddingGenerative ModelsNeurIPS

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NeurIPS 2024 Competition: Auto-Bidding in Large-Scale Auctions

Kuaishou Tech

Jul 1, 2024 · Artificial Intelligence

Kuaishou Showcases AI Innovations at CVPR 2024: Competitions, Large‑Model Demonstrations, and Research Highlights

At CVPR 2024 in Seattle, Kuaishou presented its latest AI research and applications, including a star‑studded gala, a short‑video quality competition, large‑model video generation demos, a multi‑dimensional text‑to‑image evaluation paper, and advanced video processing technologies, underscoring its strong ties with the academic community.

AICVPR 2024Generative Models

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Kuaishou Showcases AI Innovations at CVPR 2024: Competitions, Large‑Model Demonstrations, and Research Highlights

DataFunSummit

May 6, 2024 · Artificial Intelligence

Advances, Model Types, and Open Challenges of AI‑Generated Content (AIGC) with XiaoBu’s Image Generation Progress

This article reviews the definition, key metrics, and major model families of AI‑generated content, details XiaoBu’s recent breakthroughs in image generation, and discusses open research problems such as evaluation gaps, transformer limitations, and the need for richer multimodal intelligence representations.

AI researchAIGCGAN

0 likes · 14 min read

Advances, Model Types, and Open Challenges of AI‑Generated Content (AIGC) with XiaoBu’s Image Generation Progress

Model Perspective

Mar 8, 2024 · Artificial Intelligence

Master the Three Machine Learning Types and Model Paradigms

This article introduces the three core machine learning categories—supervised, unsupervised, and reinforcement learning—detailing their definitions, typical algorithms, and real‑world applications, and then compares generative and discriminative models, highlighting key examples, characteristics, and use‑case differences.

Generative Modelsdiscriminative modelsmachine learning

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Master the Three Machine Learning Types and Model Paradigms

DaTaobao Tech

Feb 28, 2024 · Artificial Intelligence

A Survey of Image Quality Evaluation Metrics for Text-to-Image Generation

The survey traces the evolution of image‑quality evaluation for text‑to‑image generation—from early handcrafted edge and color cues, through GAN‑era similarity scores such as IS, FID and KID, to modern perceptual and CLIP‑based metrics like LPIPS, CLIPScore, TRIQ, IQT and human‑preference models—highlighting a shift toward semantic, aesthetic, and text‑image alignment measures and forecasting domain‑specific metrics for future diffusion models.

GANGenerative ModelsTransformer

0 likes · 18 min read

A Survey of Image Quality Evaluation Metrics for Text-to-Image Generation

Kuaishou Tech

Jan 23, 2024 · Artificial Intelligence

Highlights of Five Selected AAAI 2024 Papers on Recommendation, Retrieval, and Video Generation

This article presents concise overviews of five AAAI 2024 accepted papers covering multi‑stage reinforcement‑learning recommendation, error‑adaptive watch‑time prediction, coarse‑to‑fine text‑to‑video retrieval, enhanced fashion image retrieval, and conditional image‑to‑video generation, each with authors, download links, and reported performance gains.

AAAI 2024Artificial IntelligenceGenerative Models

0 likes · 14 min read

Highlights of Five Selected AAAI 2024 Papers on Recommendation, Retrieval, and Video Generation

Rare Earth Juejin Tech Community

Dec 3, 2023 · Artificial Intelligence

Probability Basics, Discriminative vs Generative Models, and Autoencoders (including Variational Autoencoders)

This article introduces fundamental probability notation, explains the difference between discriminative and generative models, and provides a comprehensive overview of autoencoders and variational autoencoders, covering their architectures, loss functions, latent spaces, and practical applications in image manipulation.

Generative Modelsautoencodersdiscriminative models

0 likes · 17 min read

Probability Basics, Discriminative vs Generative Models, and Autoencoders (including Variational Autoencoders)

DataFunSummit

Nov 16, 2023 · Artificial Intelligence

Application of Language Models in Molecular Structure Prediction

This talk presents how large language models are leveraged for predicting protein, antibody, and RNA structures, covering background, model stability, generative approaches, antibody-specific models, RNA modeling, and protein‑RNA interaction prediction, along with experimental results and future research directions.

AI for biologyGenerative ModelsRNA modeling

0 likes · 17 min read

Application of Language Models in Molecular Structure Prediction

Kuaishou Tech

Aug 7, 2023 · Artificial Intelligence

GFN4Rec: Generative Flow Networks for Listwise Recommendation

This paper introduces GFN4Rec, a generative flow network approach for listwise recommendation that models the entire list generation as a probability flow, optimizing list-level reward to simultaneously improve recommendation accuracy and diversity, and validates its effectiveness on multiple datasets and simulators.

AIGFlowNetGenerative Models

0 likes · 8 min read

GFN4Rec: Generative Flow Networks for Listwise Recommendation

AntTech

Apr 12, 2023 · Artificial Intelligence

Ant Technology Research Institute Interactive Intelligence Lab – 13 Papers Accepted at CVPR 2023 and Recent AI Research Highlights

The Ant Technology Research Institute’s Interactive Intelligence Lab announced that 13 of its papers were accepted at CVPR 2023, alongside other recent achievements in generative models and 3D vision, highlighting collaborations with top universities and summarizing the lab’s contributions to artificial intelligence research.

3D visionArtificial IntelligenceCVPR

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Ant Technology Research Institute Interactive Intelligence Lab – 13 Papers Accepted at CVPR 2023 and Recent AI Research Highlights

Model Perspective

Jan 7, 2023 · Artificial Intelligence

Mastering Supervised Learning: From Linear Models to SVMs and Beyond

An extensive overview of supervised learning introduces key concepts, model types, loss functions, optimization methods, linear and generalized linear models, support vector machines, generative approaches, tree and ensemble techniques, as well as foundational learning theory, providing a comprehensive foundation for AI practitioners.

AIGenerative ModelsSVM

0 likes · 9 min read

Mastering Supervised Learning: From Linear Models to SVMs and Beyond

DataFunTalk

Dec 30, 2022 · Artificial Intelligence

Graph Representation Learning for Drug Package Recommendation: Discriminative and Generative Approaches

This article reviews the challenges of drug package recommendation in smart healthcare and presents two graph‑based solutions—a discriminative model (DPR) that scores existing drug packages and a generative model (DPG) that creates personalized packages—demonstrating superior performance through extensive experiments and analysis.

AI in HealthcareGenerative ModelsGraph Neural Networks

0 likes · 19 min read

Graph Representation Learning for Drug Package Recommendation: Discriminative and Generative Approaches

Alimama Tech

Jul 13, 2022 · Artificial Intelligence

Fully Automatic Template‑Free Image‑Text Creative Generation System

Alibaba Alimama’s fully automatic, template‑free image‑text creative generation system uses deep‑learning models across material mining, layout synthesis, on‑image copy generation, and visual attribute rendering to produce personalized ad creatives directly from product images and metadata, achieving roughly 19 % CTR lift over prior template‑based methods.

AIComputer VisionGenerative Models

0 likes · 19 min read

Fully Automatic Template‑Free Image‑Text Creative Generation System

IT Services Circle

Apr 13, 2022 · Artificial Intelligence

Introducing DualStyleGAN, RQ‑VAE Transformer, and VFD: Recent CVPR 2022 Open‑Source Algorithms

Jack Cui presents three recently open‑sourced CVPR 2022 algorithms—DualStyleGAN for high‑resolution portrait style transfer, RQ‑VAE Transformer for improved text‑to‑image generation, and VFD for deep‑fake detection—detailing their functionality, usage options, and providing links to code repositories and demo platforms.

AIDeepfake DetectionGenerative Models

0 likes · 5 min read

Introducing DualStyleGAN, RQ‑VAE Transformer, and VFD: Recent CVPR 2022 Open‑Source Algorithms