NOWJ@COLIEE 2026: Adaptive Pipelines for Legal Retrieval and Reasoning
This paper presents the methodologies and results of the NOWJ team's participation across all five tasks of the COLIEE 2026 competition. For Task 1 (Legal Case Retrieval), we propose a four-stage pipeline comprising candidate filtering, dense retrieval with complementary embedding models, cross-encoder reranking via fine-tuned generative rerankers and MLP-based pairwise classification, and adaptive per-query cutoff prediction. For Task 2 (Legal Case Entailment), we combine BM25 filtering, T5-based reranking, and LLM-based entailment verification with consensus ensemble. For Task 3 (Statute Law Retrieval and Entailment), we adopt a retrieval-augmented generation framework with dense retrie...
| Authors | Thuong-Hieu Ngo, Hoang-Trung Nguyen, Huu-Dong Nguyen et al. |
|---|---|
| Primary category | cs.CL |
| Published | 18 July 2026 |
| Last updated at source | 18 July 2026 |
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