Papers by Longtian Wang

2 papers
Measuring Risk of Bias in Biomedical Reports: The RoBBR Benchmark (2025.emnlp-main)

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Challenge: Systematic reviews should take into account the quality of available evidence, placing more weight on studies that use a valid methodology.
Approach: They propose to use a risk-of-bias framework to assess the methodological strength of biomedical papers by combining expert reviewers' judgments with research paper sentences.
Outcome: The proposed system measures the methodological strength of biomedical papers using the risk-of-bias framework used for systematic reviews.
StablePT : Towards Stable Prompting for Few-shot Learning via Input Separation (2024.findings-emnlp)

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Challenge: Existing studies on prompt tuning have shown that language models can be effective few-shot learners with prompting.
Approach: They propose to treat the hard prompt and soft prompt as separate inputs to mitigate noise brought by prompt initialization.
Outcome: Experimental results show that the proposed method outperforms state-of-the-art methods by 6.97% in accuracy and reduces the standard deviation by 1.92 on average.

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