SimXAI: A Simple Drop-in Layer Increases Interaction Quality and Understanding in Conversational XAI
Paper recorded by Signals 4 on 2026-10-30 in cs.CL. Abstract reproduced from arXiv; link to the original below.
Published 2026-10-30 on arXiv · recorded by Signals 4 on 2026-11-02
Category: cs.CL · 自然语言处理 · first seen 2026-11-02
Abstract
Conversational explainable AI (ConvXAI) agents often use GUS-style architectures with separate modules for intent recognition, dialogue management, and template-based response generation. While faithful to the underlying XAI methods, these pipelines are hard to adapt and often struggle with context-dependent follow-up questions. We present SimXAI, a lightweight LLM-centric conversational layer tha
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Cite this page: SimXAI: A Simple Drop-in Layer Increases Interaction Quality and Understanding in Conversational XAI: the #54 most recent of 628 cs.CL papers we have recorded (as of 2026-10-30). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/simxai-a-simple-drop-in-layer-increases-interaction-quality-and-understanding-in.html
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