most citedRevisiting Referring Expression Comprehension Evaluation in the Era of Large Multimodal Models

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.AI2025

VoiceAgentEval: A Dual-Dimensional Benchmark for Expert-Level Intelligent Voice-Agent Evaluation of Xbench's Professional-Aligned Series

Pengyu Xu, Shijia Li, Ao Sun +15

We propose OutboundEval, a comprehensive benchmark for evaluating large language models (LLMs) in expert-level intelligent outbound calling scenarios. Unlike existing methods that…

cs.CV2024★ 1 cited

Revisiting Referring Expression Comprehension Evaluation in the Era of Large Multimodal Models

Jierun Chen, Fangyun Wei, Jinjing Zhao +5

Referring expression comprehension (REC) involves localizing a target instance based on a textual description. Recent advancements in REC have been driven by large multimodal model…