ProCompNav builds a candidate pool from ambiguous queries then uses pool-splitting binary questions for disambiguation, improving success rate and shortening responses on CoIN-Bench and TextNav.
arXiv preprint arXiv:2509.15061 , year=
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
The Estimate-Verify-Update (EVU) mechanism reduces belief inertia in embodied agents and raises task success rates on three benchmarks.
A two-room Wizard-of-Oz pilot collected 53 multimodal trials from five users to capture dialogue ambiguities for training ambiguity-aware assistive robot controllers.
citing papers explorer
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ProCompNav: Proactive Instance Navigation with Comparative Judgment for Ambiguous User Queries
ProCompNav builds a candidate pool from ambiguous queries then uses pool-splitting binary questions for disambiguation, improving success rate and shortening responses on CoIN-Bench and TextNav.
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Seeing Isn't Believing: Mitigating Belief Inertia via Active Intervention in Embodied Agents
The Estimate-Verify-Update (EVU) mechanism reduces belief inertia in embodied agents and raises task success rates on three benchmarks.
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A Multimodal Data Collection Framework for Dialogue-Driven Assistive Robotics to Clarify Ambiguities: A Wizard-of-Oz Pilot Study
A two-room Wizard-of-Oz pilot collected 53 multimodal trials from five users to capture dialogue ambiguities for training ambiguity-aware assistive robot controllers.