mlsanityData to 7 Oct 2026

Ottilie: A Socially Intelligent Virtual Host for Sales-Driven Live Commerce

arXiv 2605.14542 ↗First posted 14 May 2026cs.AIcited by 0

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Abstract (arXiv)

A skilled live-commerce host is not merely a narrator, but a sales agent who converts viewer curiosity into purchase intent through expert product knowledge, emotionally intelligent response tactics, and entertainment that serves as a vehicle for product exposure. Yet no existing AI system replicates this. Conversational recommenders treat recommendation as a terminal act, while general-purpose LLMs hallucinate product claims and default to generic promotional templates that fail to engage or persuade. We present Ottilie, a sales-conversion-oriented virtual host for Chinese beauty live commerce that grounds product responses in a verified knowledge base, adapts discourse strategy to viewer intent through empathetic amplification, evidence-backed rebuttal, and humor-mediated deflection, and supervises all four output fields simultaneously within a structured generation framework. Experiments demonstrate gains of 14% on informativeness and 5% on factual correctness, with consistent advantages in tactfulness and viewer engagement. Ottilie has been deployed as an autonomous English-language host on Twitch, where the same fine-tuned model runs unattended on a single commodity GPU and promotes the company's own product; we report how the system adapted to a new language, market, and product without retraining, and what the deployment revealed about latency and adversarial chat.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 8 of its 31 references that are in the map. First posted on arXiv 14 May 2026.

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8 of 31 references.

References · 8

  1. 2022Training language models to follow instructions with human feedbackcited by 15,712
  2. 2024VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Timecited by 186
  3. 2020Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusioncited by 122
  4. 2025Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendationcited by 56
  5. 2024HOTVCOM: Generating Buzzworthy Comments for Videoscited by 7
  6. 2025Learning an Efficient Multi-Turn Dialogue Evaluator from Multiple LLM Judgescited by 3
  7. 2025Contextually Aware E-Commerce Product Question Answering using RAGcited by 2
  8. 2026Retrieval Augmented Conversational Recommendation with Reinforcement Learningcited by 2

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