CCTVBench exposes a large gap between standard QA accuracy and contrastive consistency in traffic video reasoning for multimodal LLMs and introduces C-TCD to narrow that gap.
author Wang, C
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
Introduces the CHA-Gen dataset for Chinese ambiguity based on Potential Ambiguity Theory and shows LLMs struggle to detect ambiguity, exhibiting specific failure modes and overconfidence after instruction tuning.
citing papers explorer
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CCTVBench: Contrastive Consistency Traffic VideoQA Benchmark for Multimodal LLMs
CCTVBench exposes a large gap between standard QA accuracy and contrastive consistency in traffic video reasoning for multimodal LLMs and introduces C-TCD to narrow that gap.
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Evaluating Chinese Ambiguity Understanding in Large Language Models
Introduces the CHA-Gen dataset for Chinese ambiguity based on Potential Ambiguity Theory and shows LLMs struggle to detect ambiguity, exhibiting specific failure modes and overconfidence after instruction tuning.