Papers with prompt refinement

3 papers
RETAIN: Interactive Tool for Regression Testing Guided LLM Migration (2024.emnlp-demo)

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Challenge: Large Language Models (LLMs) are increasingly integrated into diverse applications.
Approach: They propose a tool specifically designed for regression testing during LLM migrations.
Outcome: RETAIN (REgression Testing guided LLM migrAtIoN) provides a tool specifically designed for regression testing during LLM migrations.
Enhancing LLM-as-a-Judge through Active-Sampling-based Prompt Optimization (2025.acl-industry)

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Challenge: Suboptimal prompts can introduce biases, inconsistencies, and unreliable evaluations.
Approach: They propose an active-sampling-based framework for automatic prompt optimization . they use a small, diverse subset of samples to guide prompt refinement .
Outcome: The proposed framework outperforms baselines on four popular LLMs and three real-world datasets.
Aegis:An Advanced LLM-Based Multi-Agent for Intelligent Functional Safety Engineering (2024.emnlp-industry)

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Challenge: Aegis is an advanced LLM-based multi-agent for intelligent functional safety engineering that can perform all phases of a vehicle's lifecycle, including design, development, production, operation, and decommissioning.
Approach: They introduce Aegis: An Advanced LLM-Based Multi-Agent for Intelligent Functional Safety Engineering.
Outcome: The proposed solution can perform Hazard Analysis and Risk Assessment (HARA), document Functional Safety Requirements (FSR), and plan test cases for Automatic Emergency Braking (AEB) systems.

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