Papers by Xuhang Chen

2 papers
TokenPenalty: Alleviating Attention Sinks and Positional Decay in LVLMs (2026.findings-acl)

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Challenge: Multimodal large language models (MLLMs) often hallucinate due to two relevant phenomena: massive activation phenomenon and positional information decay.
Approach: They propose a token-level intervention strategy that dynamically suppresses irrelevant visual tokens while preserving key contextual signals.
Outcome: Experiments show that TokenTruth significantly improves factual consistency across MLLMs on standard image understanding benchmarks.
Multi-task Learning for Paraphrase Generation With Keyword and Part-of-Speech Reconstruction (2022.findings-acl)

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Challenge: PGKPR is a deep learning approach to generate paraphrases using key semantics of the source sentence.
Approach: They propose a model with keyword and part-of-speech reconstruction for paraphrase generation using deep learning.
Outcome: The proposed model outperforms comparative models on two commonly-used datasets.

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