most citedCounselBench: A Large-Scale Expert Evaluation and Adversarial Benchmarking of Large Language Models in Mental Health Question Answering

3 citations · 3 across the 5 of their papers we have counts for

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cs.CL2026★ 3 cited

CounselBench: A Large-Scale Expert Evaluation and Adversarial Benchmarking of Large Language Models in Mental Health Question Answering

Yahan Li, Jifan Yao, John Bosco S. Bunyi +3

Medical question answering (QA) benchmarks often focus on multiple-choice or fact-based tasks, leaving open-ended answers to real patient questions underexplored. This gap is parti…

cs.CL2026

CounselReflect: A Toolkit for Auditing Mental-Health Dialogues

Yahan Li, Chaohao Du, Zeyang Li +5

Mental-health support is increasingly mediated by conversational systems (e.g., LLM-based tools), but users often lack structured ways to audit the quality and potential risks of t…