Papers by Simin Ma

2 papers
PibE-MPP: A Play-it-by-Ear Masking Performance Plug-in for LLMs (2026.findings-acl)

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Challenge: Random masking is a widely adopted classic baseline in large language models (LLMs).
Approach: They propose a play-it-by-ear masking performance plug-in which enables LLMs to adaptively select masking target combinations for each task.
Outcome: The proposed performance plug-in retains the advantages and mitigates the drawbacks of random masking in large language models.
ContextCheck: Sentence-Level Faithfulness Verification with Context-Aware Disambiguation (2026.findings-acl)

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Challenge: Large language models often hallucinate, producing content that is factually incorrect or not grounded in the sources.
Approach: They propose a framework for sentence-level faithfulness verification with context-aware disambiguation.
Outcome: The proposed framework improves Macro F1 by over 10 points compared to baselines on three context-dependent datasets.

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