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Benchmark Finds AI Systems Often Answer Correctly but Cite the Wrong Evidence
Key Takeaways
- CiteVQA measures both answer correctness and citation correctness in long documents.
- A correct answer with a wrong citation receives no credit under the benchmark’s strict metric.
- Gemini-3.1-Pro-Preview led the test with 76, while GPT-5.4 dropped sharply when citation accuracy was required.
- Researchers say weak attribution makes many systems risky for regulated domains.
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DT Editorial Team··via the-decoder.com
