Papers with multi-dimensional framework

2 papers
RCScore: Quantifying Response Consistency in Large Language Models (2025.emnlp-main)

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Challenge: Current evaluations of large language models rely on a single instruction template, overlooking models’ sensitivity to instruction style.
Approach: They propose a multi-dimensional framework quantifying how instruction formulation affects model responses by transforming benchmark problems into multiple instruction styles.
Outcome: The proposed framework reveals that instruction style can shift accuracy by 16.7% points.
PanicToCalm: A Proactive Counseling Agent for Panic Attacks (2025.emnlp-main)

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Challenge: Existing models for training such models are limited due to ethical and logistical issues.
Approach: They propose a dataset that includes high-distress episodes constructed from first-person narratives and structured around the principles of Psychological First Aid.
Outcome: The proposed model outperforms baseline models in counselor-side metrics and client affect improvement.

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