Papers by Donghao Li

2 papers
CFlowPsyD: An Analysis-Enhanced Dataset for Asynchronous Psychological Counseling through Self-Optimizing Multi-Agent Framework (2026.findings-acl)

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Challenge: Asynchronous psychological counseling (APC) is a crucial mental health service modality that transcends temporal and spatial constraints.
Approach: They propose a self-optimizing multi-agent framework for counseling dialogue generation, CFlowPsy, which utilizes real anonymized counseling cases as seed data to synthesize diverse problem-solving-oriented APC conversations through large language models.
Outcome: The proposed framework synthesizes diverse problem-solving-oriented APC conversations through large language models.
PrivLM-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models (2024.acl-long)

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Challenge: generative large language models (LLMs) exhibit surprising capability and integrate previous tasks into a unified text generation formulation.
Approach: They propose a privacy evaluation benchmark to quantify the privacy leakage of language models.
Outcome: The proposed benchmark compares PPLMs with different privacy implementations to find out how privacy leakage is handled.

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