Can agents keep up when the right answers change over time?
We tested this with BFSI-Bench: across 9 models, accuracy was 39% on questions with 2026 sources vs 82% with earlier sources.
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Finding the right search result doesn't guarantee a correct answer.
In BFSI Bench, 23% of incorrect web-search agent runs encountered the current regulation but still answered incorrectly.
Trajectories: https://t.co/5iJEcamR1c
8/ The methodology, results, error analysis, and agent trajectories are available for independent review: https://t.co/5iJEcamR1c
We will periodically update the benchmark to reflect newly published rules and regulatory changes.
1/ Can frontier AI models reliably interpret India's BFSI regulations, with access to web search? 🧵
India’s BFSI regulations evolve over time. For example, income-tax slabs have changed multiple times in recent years.
7/ Message limit: Agents exhausted their message budget without reaching the correct answer.
Even with web access, current frontier models struggle to reliably find, interpret, and apply India's BFSI regulations.
8/ The methodology, results, error analysis, and agent trajectories are available for independent review: https://t.co/5iJEcamR1c
We will periodically update the benchmark to reflect newly published rules and regulatory changes
7/ Message limit: Agents exhausted their message budget without reaching the correct answer.
Even with web access, current frontier models struggle to reliably find, interpret, and apply India's BFSI regulations.