الملخص
Conversational task disambiguation over tabular data uses dialogue to resolve missing information about a user's intended task before producing a solution over tables or databases. Existing evaluation and training lack a leakage-aware foundation. Task success mixes the agent's disambiguation and solution-generation capabilities and can also reflect oracle leakage, that is, information that a user simulator reveals beyond what a real user would. Existing datasets also lack a shared representation of ambiguities and access boundaries. We introduce the notion of an ambiguous verifiable task, which formalizes ambiguities and resolutions, decomposing the agent into an asking policy and a solution policy, and the environment into an oracle and verifier. This framework provides baselines and metrics for evaluating task disambiguation separately from solution generation, formal definitions of oracle leakage, judge-free leakage diagnostics, and a training objective for the asking policy. We instantiate the framework in text-to-SQL with AmbiTab, a benchmark suite that unifies six ambiguous datasets under a common representation specifying what the agent, oracle, and verifier may access. We evaluate clarification strategies and oracle leakage, and train an asking policy with reinforcement learning. The trained asker improves our disambiguation metrics on all six datasets and task success on five, and our leakage diagnostics measure how training affects oracle leakage.
الكلمات المفتاحية
الموضوع
بيانات النشر
- المجلة
- غير متاح
- وصول مفتوح
- وصول مفتوح أخضر
اقتبس هذه المقالة
APA 7
Ghoroghchian, N., Scoccola, L., Sedaghat, T., Vaheb, O., Chen, H., D'Agostino, D., & Golestan, K. (2026). Conversational Task Disambiguation over Tabular Data: Leakage-Aware Formulation, Benchmark Suite, and Training. https://omanscience.com/ar/articles/conversational-task-disambiguation-over-tabular-data-leakage-aware-formulation-benchmark-suite-and-training
MLA 9
Ghoroghchian, Nafiseh, et al. "Conversational Task Disambiguation over Tabular Data: Leakage-Aware Formulation, Benchmark Suite, and Training." https://omanscience.com/ar/articles/conversational-task-disambiguation-over-tabular-data-leakage-aware-formulation-benchmark-suite-and-training.
شيكاغو (المؤلف–التاريخ)
Ghoroghchian, Nafiseh, Luis Scoccola, Tina Sedaghat, Omid Vaheb, Hannah Chen, Dino D'Agostino, and Keyvan Golestan. 2026. "Conversational Task Disambiguation over Tabular Data: Leakage-Aware Formulation, Benchmark Suite, and Training." https://omanscience.com/ar/articles/conversational-task-disambiguation-over-tabular-data-leakage-aware-formulation-benchmark-suite-and-training.
هارفارد
Ghoroghchian, N., Scoccola, L., Sedaghat, T., Vaheb, O., Chen, H., D'Agostino, D. and Golestan, K. (2026) 'Conversational Task Disambiguation over Tabular Data: Leakage-Aware Formulation, Benchmark Suite, and Training', Available at: https://omanscience.com/ar/articles/conversational-task-disambiguation-over-tabular-data-leakage-aware-formulation-benchmark-suite-and-training.
فانكوفر
Ghoroghchian N, Scoccola L, Sedaghat T, Vaheb O, Chen H, D'Agostino D, et al. Conversational Task Disambiguation over Tabular Data: Leakage-Aware Formulation, Benchmark Suite, and Training. https://omanscience.com/ar/articles/conversational-task-disambiguation-over-tabular-data-leakage-aware-formulation-benchmark-suite-and-training
IEEE
N. Ghoroghchian, L. Scoccola, T. Sedaghat, O. Vaheb, H. Chen, D. D'Agostino, and K. Golestan, "Conversational Task Disambiguation over Tabular Data: Leakage-Aware Formulation, Benchmark Suite, and Training," https://omanscience.com/ar/articles/conversational-task-disambiguation-over-tabular-data-leakage-aware-formulation-benchmark-suite-and-training.