Papers by Zhiqing Cui

2 papers
ReflectDiffu: Reflect between Emotion-intent Contagion and Mimicry for Empathetic Response Generation via a RL-Diffusion Framework (2025.acl-long)

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Challenge: Existing models for empathetic dialogue generation neglect the intricate interplay between emotion and intent, leading to suboptimal controllability of empathy.
Approach: They propose a framework that integrates emotion contagion and intent mimicry to enhance empathetic response generation.
Outcome: The proposed framework outperforms existing models in relevance, controllability, and informativeness.
Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models (2026.acl-long)

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Challenge: Large language models (LLMs) have emerged as a promising avenue for time series forecasting . existing approaches face limitations such as marginalized role in model architectures and lack of interpretability.
Approach: They propose a framework that exploits LLM causal reasoning to discover and use directed causal associations among covariates.
Outcome: The proposed model improves predictive accuracy while yielding transparent, traceable reasoning about variable interactions.

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