Papers with dynamic framework

3 papers
LUCE: A Dynamic Framework and Interactive Dashboard for Opinionated Text Analysis (2025.coling-demos)

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Challenge: LUCE is an advanced dynamic framework for analysing opinionated text . it features computational modules for different elements of opinions, e.g., sentiment/emotion, suggestion, figurative language, hate/toxic speech, and topics.
Approach: They introduce a dynamic framework with an interactive dashboard for analysing opinionated text . it features computational modules of text classification and extraction for different elements of opinions .
Outcome: The framework is validated in a relevant environment and its capabilities and performance demonstrated . it features trained models, python-based APIs, and a user-friendly dashboard .
SafeSwitch: Steering Unsafe LLM Behavior via Internal Activation Signals (2025.findings-emnlp)

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Challenge: Existing safety mechanisms for large language models (LLMs) are inadequate to fully leverage their internal cognitive processes.
Approach: They propose a framework that regulates unsafe outputs by utilizing the prober-based internal state monitor that actively detects harmful intentions.
Outcome: The proposed framework reduces harmful outputs by approximately 80% while maintaining strong utility.
Do Emotions Really Affect Argument Convincingness? A Dynamic Approach with LLM-based Manipulation Checks (2025.findings-acl)

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Challenge: Emotions have been shown to play a role in argument convincingness, yet this aspect is underexplored in the natural language processing community.
Approach: They propose a framework that examines the extent to which perceived emotional intensity influences perceived convincingness.
Outcome: The proposed framework examines whether emotions influence persuasiveness in humans . it finds that emotions enhance rather than weaken convincingness in human judgments .

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