Papers by Zihe Song

2 papers
Why LLMs Hallucinate on Structured Knowledge: A Mechanistic Analysis of Reasoning over Linearized Representations (2026.acl-long)

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Challenge: Existing literature primarily addresses this problem through external interventions such as retrieval augmentation and prompt engineering at the input or output level.
Approach: They find that LLMs can still produce hallucinated outputs when using structured external knowledge.
Outcome: The proposed models fail to ground the provided knowledge, causing the model to revert to parametric memory.
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction (2024.findings-acl)

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Challenge: Existing datasets for attribute value extraction focus on explicit attribute values while neglecting the implicit ones.
Approach: They present a multimodal dataset for implicit attribute value extraction that includes AVE and multimodality.
Outcome: The proposed dataset includes 68k training and 1.6k testing data across five domains.

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