Papers by Jiashuai Zhang

2 papers
Empathy in Diversity: Personalized Depression and Anxiety Therapy via Dialogue State Tracking and Patient-Aware Planning (2026.acl-long)

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Challenge: Recent efforts have turned to large language models (LLMs) as therapeutic agents for psychological therapy tasks, yet robustness across diverse patients remains underexplored.
Approach: They propose a realistic role-play protocol for evaluating therapeutic dialogue agents and a de-identified, expert-annotated corpus of therapist–patient dialogues.
Outcome: The proposed framework outperforms baselines on therapeutic outcomes and dialogue quality while improving conversational efficiency.
ELABORATION: A Comprehensive Benchmark on Human-LLM Competitive Programming (2025.acl-long)

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Challenge: Existing studies on human-LLM competitive programming use scattered, application-specific human feedback.
Approach: They propose a taxonomy of human feedback consolidating the entire programming process, which promotes fine-grained evaluation.
Outcome: The proposed benchmark pinpoints strengths and weaknesses of existing methods and will be openly released.

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