Capital Markets LLM Reliability Score (CM-LRS): From Plausible to Bankable
In capital-markets workflows the question is rarely whether a large language model can produce a fluent draft, but whether the draft is bankable: defensible in front of a counter-party or a regulator, with the documents in hand. Existing methods address parts of that gap: open-domain QA benchmarks reward surface accuracy, and finance benchmarks (FinanceBench, FinQA, ConvFinQA) advance document-grounded and numerical QA but evaluate at the question-answer layer rather than the workflow outputs practitioners defend. We introduce CM-LRS, a Capital Markets LLM Reliability Score, evaluating outputs at the workflow-output layer across seven dimensions: factual accuracy, evidence traceability, n...
| Authors | Prerit Ahuja |
|---|---|
| Primary category | cs.CL |
| Published | 23 July 2026 |
| Last updated at source | 25 July 2026 |
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