Core Capabilities: 5-Action Selective Verification
Rather than blindly regenerating or over-editing text, FRED Stage 2 performs evidence-aware selective verification:
preserve: The candidate response is factually grounded and verified against source financial tables/text.
edit: Pinpoints numerical or factual hallucinations with in-place XML tags (<numerical><delete>erroneous</delete><mark>verified</mark></numerical>).
abstain: Context lacks required disclosures to answer without fabricating.
flag_conflict: Contradictory statements between table cells and footnotes.
request_evidence: Incomplete financial disclosures or missing metrics.
Model Details
- Base Model:
Qwen/Qwen2.5-3B-Instruct
- Fine-Tuning Method: 16-bit LoRA (Unquantized Base, Rank=16, Alpha=16)
- Training Samples: 17,000 (8,500 Clean FinQA/TAT-QA + 8,500 11-Error Perturbations)
- Sequence Length: 2,048 tokens
- GitHub Repository: FRED GitHub