Jiale Liu
2 indexed papers
Recent (6 mo)
2With code
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226
Top categories
AI×2Multiagent×1NLP×1Vision×1ML×1
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Research Timeline
2026
OmniVerifier-M1: Multimodal Meta-Verifier with Explicit Structured Recalibration
The paper introduces OmniVerifier-M1, a multimodal meta-verifier that uses symbolic outputs and decoupled reinforcement learning to provide robust, fine-grained verification and error localization for large multimodal models.
Who&When Pro: Can LLMs Really Attribute Failures in AI Agents?
The paper introduces Who&When Pro, a large-scale benchmark for automated failure attribution in agentic systems, revealing patterns in how models attribute failures.
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Papers
cs.AIcs.MAEmpiricalRecentJul 10, 2026
Who&When Pro: Can LLMs Really Attribute Failures in AI Agents?
Jiale Liu, Huajun Xi, Shaokun Zhang, Yifan Zeng +5 more
The paper introduces Who&When Pro, a large-scale benchmark for automated failure attribution in agentic systems, revealing patterns in how models attribute failures.
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cs.CLcs.AIcs.CVRecent