## Screenshot: Comparative Analysis of Question-Answering Methods
### Overview
The image is a comparative analysis of three question-answering methods (Full-Context, Retrieve-then-Answer, MenR) applied to a temporal reasoning task. Each method is presented in a vertical panel with color-coded annotations indicating performance outcomes (red for errors, green for correct answers). The task involves calculating the number of months between two adoption events described in a conversation.
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### Components/Axes
1. **Panels**: Three vertical sections labeled:
- **1) Full-Context** (left)
- **2) Retrieve-then-Answer** (center)
- **3) MenR** (right)
2. **Annotations**:
- Red crosses (❌) for incorrect answers
- Green checkmarks (✅) for correct answers
- Color highlights (orange, green) for key text
3. **Text Elements**:
- **Query**: Consistent across all panels: *"How many months passed between Andrew adopting Toby and Buddy?"*
- **Memories**: Contextual snippets from a conversation
- **Action**: Method-specific steps (e.g., "Retrieve," "Reflect")
- **Reasoning**: Explanations of gaps/errors
- **Answer**: Final output with correctness indicators
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### Detailed Analysis
#### 1) Full-Context Panel
- **Query**: Same as others.
- **Memories**: Entire conversation history provided.
- **Action**: Direct answer extraction.
- **Reasoning**:
- Incorrect answer: *"Six months passed between Andrew adopting Toby and Buddy."*
- Error flagged: *"Heavy Context reduces LLM's performance"* (red annotation).
- **Answer**: ❌ Incorrect (6 months).
#### 2) Retrieve-then-Answer Panel
- **Query**: Refined to *"Buddy adoption date"*.
- **Memories**: Filtered to relevant dates:
- *"Andrew adopted Toby on July 11, 2023."*
- *"Andrew adopted Buddy on October 19, 2023."*
- **Action**:
- Retrieve relevant memories.
- Calculate time difference.
- **Reasoning**:
- Updated evidence: Adoption dates confirmed.
- Gaps: *"Calculation process omitted."*
- **Answer**: ❌ Incorrect (4 months).
#### 3) MenR Panel
- **Query**: Further refined to *"Buddy adoption date"*.
- **Memories**: Same as Retrieve-then-Answer.
- **Action**:
- Reflect on reasoning gaps.
- Draft answer using specific dates.
- **Reasoning**:
- Updated evidence: Adoption dates confirmed.
- Calculation: *"3 months passed between adoption dates."*
- **Answer**: ✅ Correct (3 months).
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### Key Observations
1. **Full-Context** fails due to overwhelming context, leading to incorrect inference.
2. **Retrieve-then-Answer** improves by filtering memories but omits critical calculation steps.
3. **MenR** succeeds by iteratively refining queries, reflecting on gaps, and explicitly calculating the time difference using precise dates.
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### Interpretation
The image demonstrates the importance of **memory retrieval precision** and **explicit reasoning** in temporal reasoning tasks. The MenR method outperforms others by:
- **Refining queries** to extract specific evidence (adoption dates).
- **Identifying and addressing gaps** in reasoning (e.g., omitted calculations).
- **Leveraging structured reflection** to correct errors.
The red/green annotations highlight how context management and iterative reasoning directly impact accuracy. The correct answer (3 months) relies on precise date extraction and arithmetic, which only MenR executes fully.
