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Baoliang Tian

2 accepted papers

2026

CrossCheck-Bench: Diagnosing Compositional Failures in Multimodal Conflict Resolution

AAAI 2026technical

Multimodal Large Language Models are primarily trained and evaluated on aligned image-text pairs, which leaves their ability to detect and resolve real-world inconsistencies largely unexplored. In open-domain applications visual and textual cues often conflict, requiring models to perform structured

Cited by 0SourcePDFScholar
2026

Token-Importance Guided Direct Preference Optimization

ICLR 2026oral

Aligning Large Language Models (LLMs) with human preferences is crucial for safe and effective AI interactions. While popular methods like Direct Preference Optimization (DPO) have simplified alignment, they remain sensitive to data noise and overlook the differential importance of individual tokens…

Cited by 0SourcecodeScholar