Papers by Fa Zhu

2 papers
FocalOrder: Focal Preference Optimization for Reading Order Detection (2026.acl-long)

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Challenge: Existing methods for document comprehension rely on uniform supervision, resulting in a performance degradation in the intermediate sections.
Approach: They propose a framework driven by Focal Preference Optimization to detect reading order in document layouts.
Outcome: The proposed framework outperforms competing baselines and surpasses large-scale general VLMs.
ContrastKV: Robust KV Cache Eviction via Contrastive Signal Fusion for Multi-Query Generalization (2026.acl-long)

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Challenge: Existing query-agnostic approaches rely on a single proxy query, leading to fragile eviction decisions under high evict ratios.
Approach: They propose a query-agnostic KV cache eviction algorithm that exploits complementary semantic and non-semantic signals.
Outcome: Experiments show that the proposed algorithm outperforms state-of-the-art methods while retaining up to 92% accuracy with only 20% of the KV cache budget.

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