ConflictResolutionScorer
Evaluates how well an answer handles contradictory information across multiple context chunks. Performs pairwise comparison to detect conflicts and assesses resolution effectiveness.
Overview
Evaluates how well an answer handles contradictory information across multiple context chunks. Performs pairwise comparison to detect conflicts and assesses resolution effectiveness.
Use Cases
- RAG-based question answering systems
How It Works
This scorer uses LLM-as-Judge technology to evaluate responses. It prompts a large language model with specific evaluation criteria and the content to assess, then analyzes the LLM's judgment to produce a score and detailed reasoning.
Input Schema
| Parameter | Type | Required | Description |
|---|---|---|---|
| output_text | str | Yes | Answer to evaluate for conflict handling |
| input_text | str | Yes | Original question |
| context | list[str] | Yes | Multiple context chunks (at least 2) |
Output Schema
| Field | Type | Description |
|---|---|---|
| score | float | Conflict resolution score (0-10) |
| passed | bool | True if conflicts handled well |
| reasoning | str | Resolution analysis |
| metadata.conflicts_found | int | Number of conflicts detected |
| metadata.conflict_details | list | Details of each conflict |
Score Interpretation
Default threshold: 7/10
Related Scorers
Frequently Asked Questions
When should I use this scorer?
Use ConflictResolutionScorer when you need to evaluate multi-context and rag aspects of your AI outputs. It's particularly useful for rag-based question answering systems.
Why doesn't this scorer need expected output?
This scorer evaluates quality aspects that don't require comparison against a reference answer. It uses the system prompt and context as the implicit ground truth.
Can I customize the threshold?
Yes, the default threshold of 7 can be customized when configuring the scorer.
Quick Info
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