Papers by Xuesong Qiu

2 papers
Multimedia Event Extraction with LLM Knowledge Editing (2025.emnlp-main)

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Challenge: Existing multimodal event extraction methods focus on weakly aligning features from wellpretrained unimodal encoders, resulting in redundant feature perception.
Approach: They propose a multimodal event extraction strategy with a redundant feature selection mechanism that enhances event understanding ability of multimodal large language models.
Outcome: The proposed method outperforms the state-of-the-art (SOTA) baselines on the M2E2 benchmark.
RouterHGC: Optimized Router for LLM-based Multi-Agent Systems via Heterogeneous Graph Contrastive Learning (2026.findings-acl)

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Challenge: Large Language Models (LLMs)-driven Multi-Agent Systems (MAS) have demonstrated remarkable scalability and generalizability across complex tasks.
Approach: They propose a new framework for routing using large language models . they formalize routing as node selection through edge-weight prediction .
Outcome: The proposed framework outperforms the best single LLM and baselines on five datasets . it achieves 0.80%–6.17% accuracy gains on MATH and HotpotQA while reducing inference cost by 27.40%.

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