Papers by Junkai Tong

2 papers
Legal Fact Prediction: The Missing Piece in Legal Judgment Prediction (2025.emnlp-main)

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Challenge: Existing studies use legal facts to predict judgments, but legal facts are difficult to obtain in early stages of litigation.
Approach: They propose a legal fact prediction task that takes evidence from trial as input to make predictions in the absence of ground-truth legal facts.
Outcome: The proposed task can predict court rulings without ground-truth legal facts . the first benchmark dataset, LFPBench, is used to evaluate the task .
SecCoder: Towards Generalizable and Robust Secure Code Generation (2024.emnlp-main)

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Challenge: Existing secure code generation methods have limited generalizability to unseen test cases and poor robustness against the attacked model, leading to safety failures in code generation.
Approach: They propose a generalizable and robust secure code generation method SecCoder by using in-context learning and the safe demonstration.
Outcome: The proposed method achieves a significant security improvement of 7.20% on unseen test cases and better robustness against the attacked model.

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