mlsanityData to 14 Oct 2026

THUIR@COLIEE 2023: More Parameters and Legal Knowledge for Legal Case Entailment

arXiv 2305.06817 ↗First posted 11 May 2023cs.CL cs.IRcited by 11

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Abstract (arXiv)

This paper describes the approach of the THUIR team at the COLIEE 2023 Legal Case Entailment task. This task requires the participant to identify a specific paragraph from a given supporting case that entails the decision for the query case. We try traditional lexical matching methods and pre-trained language models with different sizes. Furthermore, learning-to-rank methods are employed to further improve performance. However, learning-to-rank is not very robust on this task. which suggests that answer passages cannot simply be determined with information retrieval techniques. Experimental results show that more parameters and legal knowledge contribute to the legal case entailment task. Finally, we get the third place in COLIEE 2023. The implementation of our method can be found at https://github.com/CSHaitao/THUIR-COLIEE2023.

Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). Builds on 16 of its 31 references that are in the map. First posted on arXiv 11 May 2023.

Builds on

16 of 31 references.

References · 16

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
  3. 2022Scaling Instruction-Finetuned Language Modelscited by 3,024
  4. 2020DeBERTa: Decoding-enhanced BERT with Disentangled Attentioncited by 2,181
  5. 2020Document Ranking with a Pretrained Sequence-to-Sequence Modelcited by 376
  6. 2023SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrievalcited by 62
  7. 2023T2Ranking: A large-scale Chinese Benchmark for Passage Rankingcited by 60
  8. 2022Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extractioncited by 21
  9. 2023Towards Better Web Search Performance: Pre-training, Fine-tuning and Learning to Rankcited by 17
  10. 2023Constructing Tree-based Index for Efficient and Effective Dense Retrievalcited by 15
  11. 2023THUIR at WSDM Cup 2023 Task 1: Unbiased Learning to Rankcited by 11
  12. 2022Case law retrieval: problems, methods, challenges and evaluations in the last 20 yearscited by 10
4 more
  1. 2022Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-rankingcited by 10
  2. 2022nigam@COLIEE-22: Legal Case Retrieval and Entailment using Cascading of Lexical and Semantic-based modelscited by 9
  3. 2021DoSSIER@COLIEE 2021: Leveraging dense retrieval and summarization-based re-ranking for case law retrievalcited by 8
  4. 2022Billions of Parameters Are Worth More Than In-domain Training Data: A case study in the Legal Case Entailment Taskcited by 8

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Cited by year

Citing papers per year: 2023: 4; 2024: 6; 2025: 1.

11 papers.

  1. 2024Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Modelscited by 86
  2. 2024DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Modelscited by 63
  3. 2023LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval Datasetcited by 38
  4. 2025JuDGE: Benchmarking Judgment Document Generation for Chinese Legal Systemcited by 18
  5. 2024Mitigating Entity-Level Hallucination in Large Language Modelscited by 17
  6. 2024LeKUBE: A Legal Knowledge Update BEnchmarkcited by 12
  7. 2024STARD: A Chinese Statute Retrieval Dataset with Real Queries Issued by Non-professionalscited by 10
  8. 2024DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignmentcited by 9
  9. 2023MUSER: A Multi-View Similar Case Retrieval Datasetcited by 8
  10. 2023An Intent Taxonomy of Legal Case Retrievalcited by 6
  11. 2023LEEC: A Legal Element Extraction Dataset with an Extensive Domain-Specific Label Systemcited by 4