Multilingual and Domain-Agnostic Tip-of-the-Tongue Query Generation for Simulated Evaluation
Tip-of-the-Tongue (ToT) retrieval benchmarks have largely focused on English, limiting their applicability to multilingual information access. In this work, we construct multilingual ToT test collections for Chinese, Japanese, Korean, and English, using an LLM-based query simulation framework. We systematically study how prompt language and source document language affect the fidelity of simulated ToT queries, validating synthetic queries through system rank correlation against real user queries. Our results show that effective ToT simulation requires language-aware design choices: non-English language sources are generally important, while English Wikipedia can be beneficial when non-Eng...
| Authors | Xuhong He, To Eun Kim, Maik Fröbe et al. |
|---|---|
| Primary category | cs.IR |
| Published | 22 April 2026 |
| Last updated at source | 22 April 2026 |
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