Papers by Pengxu Wei

2 papers
Thinking Before You Speak: A Proactive Test-time Scaling Approach (2025.findings-emnlp)

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Challenge: Large Language Models often exhibit deficiencies with complex reasoning tasks, such as maths, due to the discrepancy between human reasoning patterns and those presented in training data.
Approach: They propose to insert insights between consecutive reasoning steps to bridge this gap by generating insights between the next reasoning steps.
Outcome: Experiments on mathematical datasets confirm the effectiveness of the proposed reasoning framework on complex problems.
Cross-modal Contrastive Attention Model for Medical Report Generation (2022.coling-1)

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Challenge: Existing methods for medical report generation are unable to capture useful information from historical cases.
Approach: They propose a model that captures both visual and semantic information from similar cases.
Outcome: The proposed model outperforms the state-of-the-art models on almost all metrics on IU X-Ray and MIMIC-CXR benchmarks.

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