HoosierHelp: Benchmarking LLM Agents for Social Service Navigation
Social service navigation requires connecting help-seeking individuals to resources that satisfy their needs and specific constraints. Although LLM agents offer a promising interface for conversational resource navigation, existing benchmarks do not capture the interaction complexity and constraint-grounding demands of this setting. We introduce HoosierHelp, an interactive benchmark grounded in 3,971 Indiana public social service resources. Agents interact with simulated users, issue structured resource-search calls, handle non-ideal interactions, and select the final resources returned by the tool. HoosierHelp enhances the realism of simulated users by varying their need structure, const...
| Authors | Yiyang Li, Weixiang Sun, Tianyi Ma et al. |
|---|---|
| Primary category | cs.HC |
| Published | 3 July 2026 |
| Last updated at source | 3 July 2026 |
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