TrustMH-Bench: A Comprehensive Benchmark for Evaluating the Trustworthiness of Large Language Models in Mental Health | ScienceToStartup | ScienceToStartup

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References (57)

[1]

DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models

2025DeepSeek-AI, A. Liu et al.

[2]

CARE-Bench: A Benchmark of Diverse Client Simulations Guided by Expert Principles for Evaluating LLMs in Psychological Counseling

2025Bichen Wang, Yixin Sun et al.

[3]

When Can We Trust LLMs in Mental Health? Large-Scale Benchmarks for Reliable LLM Evaluation

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"TrustMH-Bench provides a framework to evaluate and improve the trustworthiness of mental health large language models across key dimensions."

Benchmarking•Score: 6•View PDF ↗

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TrustMH-Bench: A Comprehensive Benchmark for Evaluating the Trustworthiness of Large Language Models in Mental Health

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References (57)

Founder's Pitch

"TrustMH-Bench provides a framework to evaluate and improve the trustworthiness of mental health large language models across key dimensions."

Commercial Viability Breakdown

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TrustMH-Bench: A Comprehensive Benchmark for Evaluating the Trustworthiness of Large Language Models in Mental Health

BUILDER'S SANDBOX

Build This Paper

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Startup Essentials

References (57)

Founder's Pitch

"TrustMH-Bench provides a framework to evaluate and improve the trustworthiness of mental health large language models across key dimensions."

Commercial Viability Breakdown

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