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Factuality, Data, Sources of Errors, Evaluation Metrics, Approaches,…
Factuality
Data
Knowledge Status
Known
Unknown
Update Frequency
Time Invariant data
Real-time events
Topics
Distribution
Sources of Errors
Data-level Errors
Data balance
Data correctness
Data freshness
Inference-level Errors
Decoding strategies
Generation issues
Interaction limitations
Retrieval-level Errors
Source trustworthiness issues
Misinformation in retrieved content
Misinterpretation of retrieved information
Model-level Errors
Architectures
Training stages
Pre-train
Post-train
Evaluation Metrics
Accuracy Metrics
Calibration Metrics
Weighted Scores
Approaches
Model/Inference Fix
Fine-Tuning
Sampling
Express Uncertainty
Long-form Generation
Adversarial Training
Data Fix
Balanced Data
Verify Data correctness
Refresh Data
Retrieval-level Fix
Source verification
Ranking Relevance
Generation
Evaluation Methods
Grader
Model based
Manual based
Sources of Truth
Context-free
Retrieved Information
Evaluation
Knowledge Sources