Papers by Dingyi Zhang

2 papers
A Compressive Memory-based Retrieval Approach for Event Argument Extraction (2025.coling-main)

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Challenge: Existing retrieval-based EAE methods have input length constraints and the gap between the retriever and the inference model.
Approach: They propose a retrieval-based retrieval mechanism that overcomes input length constraints . they use compressive memory to cache retrieved information and support continuous updates .
Outcome: The proposed method outperforms retrieval-based methods on three public datasets.
MA2P: A Meta-Cognitive Autonomous Intelligent Agents Framework for Complex Persuasion (2026.findings-acl)

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Challenge: Existing approaches to persuasion generate generic or weakly grounded responses even when such cues are identified.
Approach: They propose a meta-cognitive autonomous intelligent agent framework for complex persuasion that coordinates perception management, mental-state inference, strategy execution, memory maintenance, and performance evaluation.
Outcome: The proposed framework achieves a higher persuasion success rate than baselines.

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