1 citations · 1 across the 1 of their papers we have counts for
4 papers
SmartWalkCoach: An AI Companion for End-to-End Walking Guidance, Motivation, and Reflection
Xianzhe Zhang, Mingxuan Hu, Bufan Xue +3
We present SmartWalkCoach, a mobile AI companion that supports the full walking journey: from pre-walk planning to in-walk guidance through to post-walk reflection. Addressing a ga…
SEVADE: Self-Evolving Multi-Agent Analysis with Decoupled Evaluation for Hallucination-Resistant Irony Detection
Ziqi Liu, Ziyang Zhou, Yilin Li +4
Sarcasm detection is a crucial yet challenging Natural Language Processing task. Existing Large Language Model methods are often limited by single-perspective analysis, static reas…
Mitigating Gender Bias in Depression Detection via Counterfactual Inference
Mingxuan Hu, Hongbo Ma, Xinlan Wu +3
Audio-based depression detection models have demonstrated promising performance but often suffer from gender bias due to imbalanced training data. Epidemiological statistics show a…
CAF-I: A Collaborative Multi-Agent Framework for Enhanced Irony Detection with Large Language Models
Ziqi. Liu, Ziyang. Zhou, Mingxuan. Hu
Large language model (LLM) have become mainstream methods in the field of sarcasm detection. However, existing LLM methods face challenges in irony detection, including: 1. single-…