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SADAS: A Dialogue Assistant System Towards Remediating Norm Violations in Bilingual Socio-Cultural Conversations

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arxiv 2402.01736 v1 pith:OCNC56QT submitted 2024-01-29 cs.CL cs.AI

classification cs.CLcs.AI
keywords systemdialoguesadasviolationsassistantcodeconversationscultural
verification ladder T0 review T1 audit T2 compute T3 formal
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In today's globalized world, bridging the cultural divide is more critical than ever for forging meaningful connections. The Socially-Aware Dialogue Assistant System (SADAS) is our answer to this global challenge, and it's designed to ensure that conversations between individuals from diverse cultural backgrounds unfold with respect and understanding. Our system's novel architecture includes: (1) identifying the categories of norms present in the dialogue, (2) detecting potential norm violations, (3) evaluating the severity of these violations, (4) implementing targeted remedies to rectify the breaches, and (5) articulates the rationale behind these corrective actions. We employ a series of State-Of-The-Art (SOTA) techniques to build different modules, and conduct numerous experiments to select the most suitable backbone model for each of the modules. We also design a human preference experiment to validate the overall performance of the system. We will open-source our system (including source code, tools and applications), hoping to advance future research. A demo video of our system can be found at:~\url{https://youtu.be/JqetWkfsejk}. We have released our code and software at:~\url{https://github.com/AnonymousEACLDemo/SADAS}.

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  1. SocialMind: LLM-based Proactive AR Social Assistive System with Human-like Perception for In-situ Live Interactions

    cs.AI 2024-12 conditional novelty 6.0 of 10

    SocialMind provides real-time, proactive social suggestions on AR glasses by combining multimodal sensing, persona memory, and LLM reasoning.

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