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MindTailor: Personalized Emotional Support via Post History-Grounded Case Formulation and Collaborative Refinement

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As mental health concerns continue to rise globally, social media has emerged as a vital space where individuals seek emotional support. While prior work on personalized emotional support has leveraged seekers' emotional states, personas, and situational context, these approaches primarily capture the seeker's current state, overlooking the formative experiences that shape present concerns. In this work, we propose MindTailor, a framework that generates personalized emotional support responses by constructing a case formulation from the seeker's post history and iteratively refining responses through collaborative critique among counselor agents grounded in distinct counseling strategies. To enable research on this history-aware task, we construct ReddiSupp, a dataset of 798 Reddit posts paired with seekers' prior post histories. Through LLM-as-a-Judge evaluation, expert human evaluation, and a user study with seekers, we demonstrate that MindTailor outperforms baselines across these evaluations, improving empathy, personalization, understanding, and achieving the highest overall preference.

Suhyun Han, Kyunghyun Cho, JinYeong Bak• 2026

Related benchmarks

TaskDatasetResultRank
Personalized Emotional SupportReddiSupp
Win Rate98.29
51
LLM-as-a-JudgePeer-Support Evaluation Set
Empathy4.89
23
Empathetic Response GenerationReddiSupp (Expert Evaluation)
Empathy4.2
4
Empathetic Response GenerationReddiSupp User Study (test)
Empathy3.98
4
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