dialogue systems

Kuaishou Tech

May 20, 2024 · Artificial Intelligence

Kuaishou’s AI XiaoKuai: Technical Innovations Behind the Consumer‑Entertainment Assistant

The article reviews the evolution of large‑model technology, details Kuaishou’s self‑developed “Kuaishou Yi” model architecture, data pipeline, evaluation benchmarks, and explains how the AI XiaoKuai assistant achieves multimodal, personable interactions while also announcing related recruitment opportunities.

AI AssistantKuaishouRecruitment

0 likes · 10 min read

Kuaishou’s AI XiaoKuai: Technical Innovations Behind the Consumer‑Entertainment Assistant

DataFunTalk

Jan 15, 2023 · Artificial Intelligence

Advances in Dialogue Systems: Baidu PLATO Large‑Scale Conversational Models

This article reviews the evolution of dialogue systems from modular task‑oriented designs to end‑to‑end large‑scale models, detailing Baidu's PLATO series, their technical innovations, real‑world deployments, challenges such as inference efficiency and safety, and future research directions in conversational AI.

AI safetyPLATOconversational AI

0 likes · 13 min read

Advances in Dialogue Systems: Baidu PLATO Large‑Scale Conversational Models

DataFunTalk

Nov 24, 2022 · Artificial Intelligence

Technical Evolution of OPPO's Conversational AI Assistant XiaoBu

This article details the development journey of OPPO's conversational AI assistant XiaoBu, covering its historical background, product features, four years of technical evolution, challenges in skill building and user understanding, anti‑failure strategies, and future directions in multimodal AI assistants.

AI AssistantOPPOconversational AI

0 likes · 24 min read

Technical Evolution of OPPO's Conversational AI Assistant XiaoBu

DataFunSummit

Jul 27, 2022 · Artificial Intelligence

DataFun 2022 Natural Language Processing Summit – Leading Experts Discuss Large‑Scale Language Models, Multimodal Understanding, Dialogue Systems and AI Applications

The DataFun 2022 NLP Summit, held on July 30, brings together top researchers and industry leaders from Alibaba, Baidu, Microsoft, Amazon, and more to present the latest advances in large‑scale pre‑training, multimodal perception, information extraction, dialogue interaction, machine translation, and practical AI deployments, with live streaming and free registration via QR code.

AIConferenceInformation Extraction

0 likes · 44 min read

DataFun 2022 Natural Language Processing Summit – Leading Experts Discuss Large‑Scale Language Models, Multimodal Understanding, Dialogue Systems and AI Applications

DataFunSummit

Jul 21, 2022 · Artificial Intelligence

Advances and Challenges in Dialogue Systems: Baidu PLATO and Future Directions

This article reviews the evolution, architectures, challenges, and recent breakthroughs of dialogue systems—especially Baidu's PLATO model—while discussing data‑driven approaches, diversity, safety, interactive learning, and the potential role of virtual environments such as the metaverse in shaping future conversational AI.

AI safetyMetaversePLATO

0 likes · 24 min read

Advances and Challenges in Dialogue Systems: Baidu PLATO and Future Directions

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 conversationMetaversedialogue systems

0 likes · 21 min read

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

DataFunTalk

Jan 26, 2022 · Artificial Intelligence

Exploring and Practicing Generative Chat in OPPO's XiaoBu Assistant

This article presents a comprehensive overview of OPPO's XiaoBu Assistant, detailing its research background, chat skill architecture, evolution from retrieval and rule‑based methods to generative models, industry model comparisons, decoding and ranking strategies, safety mechanisms, performance optimizations, and evaluation results.

ChatbotNLPOPPO

0 likes · 20 min read

Exploring and Practicing Generative Chat in OPPO's XiaoBu Assistant

DataFunTalk

Sep 2, 2021 · Artificial Intelligence

Meituan Intelligent Customer Service: Technical Practices and Core Technologies

This article presents Meituan's intelligent customer service practice, covering background, six core AI capabilities such as problem recommendation, understanding, dialogue management, answer supply, script recommendation, and conversation summarization, as well as the Moses dialogue platform and future research directions.

AICustomer SupportIntelligent Customer Service

0 likes · 22 min read

Meituan Intelligent Customer Service: Technical Practices and Core Technologies

58 Tech

Aug 19, 2021 · Artificial Intelligence

Practical NER Techniques for Business Chatbots on the 58.com Service Platform

This article presents a comprehensive case study of applying named‑entity‑recognition (NER) techniques to the smart chat assistant of 58.com’s yellow‑page service, covering business background, model selection (BiLSTM‑CRF, IDCNN‑CRF, BERT), data‑augmentation, focal loss, fusion of rule‑based and neural methods, context modeling, online performance, and future research directions.

BERTCRFEntity Recognition

0 likes · 16 min read

Practical NER Techniques for Business Chatbots on the 58.com Service Platform

AntTech

Mar 3, 2021 · Artificial Intelligence

Ant Group Intelligent Service Research Overview: NLP, Dialogue, Recommendation, and Anti‑fraud Papers

The article presents a comprehensive overview of Ant Group's intelligent service research, summarizing recent AI‑focused papers on text classification, stance detection, data augmentation, knowledge distillation for ranking, reinforcement‑learning‑based dialogue clarification, behavior‑cloning dialogue systems, anti‑fraud outbound bots, tag‑based service recommendation, and multi‑agent service groups, while also highlighting future directions and recruitment opportunities.

AI researchNLPanti-fraud

0 likes · 17 min read

Ant Group Intelligent Service Research Overview: NLP, Dialogue, Recommendation, and Anti‑fraud Papers

DataFunTalk

Dec 28, 2020 · Artificial Intelligence

Intelligent Question Answering: Scenarios, Architecture, and Technical Implementations (QA, Knowledge‑Graph QA, NL2SQL)

This article introduces the typical applications of intelligent question answering, compares chat‑type, knowledge‑type and task‑type bots, and then details the end‑to‑end architecture, knowledge‑base construction, semantic‑equivalence modeling with BERT‑BIMPM, knowledge‑graph QA pipelines, and NL2SQL techniques, concluding with practical deployment insights.

AIBERTNL2SQL

0 likes · 15 min read

Intelligent Question Answering: Scenarios, Architecture, and Technical Implementations (QA, Knowledge‑Graph QA, NL2SQL)

DataFunTalk

Dec 25, 2020 · Artificial Intelligence

Exploring Pretraining Model Optimization and Deployment Challenges in NLP

This article reviews the evolution of pretraining models in NLP, discusses the practical challenges of deploying large models such as inference latency, knowledge integration, and task adaptation, and presents Xiaomi’s optimization techniques including knowledge distillation, low‑precision inference, operator fusion, and multi‑granularity segmentation for dialogue systems.

BERTNLPPretraining

0 likes · 15 min read

Exploring Pretraining Model Optimization and Deployment Challenges in NLP

Sohu Tech Products

Sep 16, 2020 · Artificial Intelligence

Open-Domain Dialogue Systems: Current State, Challenges, and Future Directions

This article reviews the latest advances in open-domain dialogue systems, covering classification, end‑to‑end generation challenges, knowledge‑controlled generation, automated evaluation, large‑scale latent‑space models such as PLATO, and outlines future research directions for building more coherent and controllable conversational AI.

Large-Scale Modelsdialogue systemsevaluation

0 likes · 14 min read

Open-Domain Dialogue Systems: Current State, Challenges, and Future Directions

DataFunTalk

Sep 11, 2020 · Artificial Intelligence

Open-Domain Dialogue Systems: Current Status and Future Directions

This presentation by Baidu chief architect Wang Fan reviews the classification of dialogue systems, discusses the challenges of end‑to‑end open‑domain conversation generation, introduces multi‑mapping and knowledge‑grounded techniques, describes large‑scale PLATO models and automated evaluation, and outlines future research directions.

AINatural Language ProcessingPLATO

0 likes · 14 min read

Open-Domain Dialogue Systems: Current Status and Future Directions

DataFunTalk

Jun 1, 2020 · Artificial Intelligence

Emotion Analysis Techniques in Alibaba's Intelligent Customer Service System

This article presents a comprehensive overview of emotion analysis technologies employed in Alibaba's intelligent customer service platform, detailing models for user emotion detection, emotional response generation, service quality inspection, satisfaction prediction, and intelligent human‑agent handoff, along with experimental results and future research directions.

AI modelsIntelligent Customer ServiceNatural Language Processing

0 likes · 40 min read

Emotion Analysis Techniques in Alibaba's Intelligent Customer Service System

AntTech

Apr 15, 2020 · Artificial Intelligence

Ant Financial Research Highlights at WWW2020: Enhanced‑RCNN, IntentDial, Captcha Solver, Billion‑Scale Knapsack, and EET Loss

The article summarizes five Ant Financial papers accepted at WWW2020, covering an efficient sentence‑similarity model (Enhanced‑RCNN), a graph‑based multi‑turn dialogue system (IntentDial), a low‑label captcha recognizer, a solver for billion‑scale knapsack problems, and a novel equal‑distance/equal‑distribution triplet loss for image retrieval.

Artificial IntelligenceCaptcha RecognitionKnapsack Optimization

0 likes · 9 min read

Ant Financial Research Highlights at WWW2020: Enhanced‑RCNN, IntentDial, Captcha Solver, Billion‑Scale Knapsack, and EET Loss

DataFunTalk

Mar 9, 2020 · Artificial Intelligence

Microsoft XiaoIce: Architecture and Techniques for Persona‑Driven Conversational AI

The article presents an in‑depth overview of Microsoft XiaoIce’s conversational AI platform, covering system classification, the three major dialogue directions, long‑term conversation handling, query understanding and rewriting, few‑shot learning with prototypical networks, retrieval and generation models, empathy modeling, and the concept of AI beings for building personalized chatbots.

AI beingsconversational AIdialogue systems

0 likes · 26 min read

Microsoft XiaoIce: Architecture and Techniques for Persona‑Driven Conversational AI

DataFunTalk

Nov 20, 2019 · Artificial Intelligence

Advances and Reflections on Human‑Machine Dialogue Technologies

This presentation reviews recent progress in spoken and multimodal dialogue systems, covering X‑driven architectures, task‑oriented and open‑domain approaches, NLU/DM integration, FAQ, KB/KG‑driven methods, document‑driven dialogue, and outlines remaining challenges and future research directions.

Artificial IntelligenceNatural Language Processingdialogue systems

0 likes · 21 min read

Advances and Reflections on Human‑Machine Dialogue Technologies

DataFunTalk

Nov 11, 2019 · Artificial Intelligence

Knowledge Graph‑Based Question Answering in Meituan’s Intelligent Interaction Scenarios

This talk presents how Meituan leverages knowledge‑graph QA (KBQA) across restricted and complex smart‑interaction scenarios, compares semantic‑parsing and information‑retrieval approaches, introduces three‑layer concept nodes to handle entity explosion and non‑connected queries, and outlines architectural refinements for multi‑turn dialogue integration.

AIMeituandialogue systems

0 likes · 14 min read

Knowledge Graph‑Based Question Answering in Meituan’s Intelligent Interaction Scenarios

DataFunTalk

Oct 25, 2019 · Artificial Intelligence

Advances and Challenges in Human‑Machine Dialogue: Open‑Domain and Task‑Oriented Systems

This article reviews recent progress and open research problems in human‑machine dialogue, covering both open‑domain chat and task‑oriented systems, with focus on reply quality, decoding, retrieval‑augmented generation, controllable and personalized responses, multi‑turn modeling, reinforcement‑learning strategies, low‑resource NLU, and data augmentation techniques.

Natural Language Processingdialogue systemsopen-domain chat

0 likes · 16 min read

Advances and Challenges in Human‑Machine Dialogue: Open‑Domain and Task‑Oriented Systems