Papers by Adnan Trakic
Can ChatGPT Perform Reasoning Using the IRAC Method in Analyzing Legal Scenarios Like a Lawyer? (2023.findings-emnlp)
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| Challenge: | Large Language Models (LLMs) have attracted a lot of attention in the legal domain due to their ability to tackle a variety of legal tasks. |
| Approach: | They constructed a corpus consisting of two legal scenarios using the IRAC method and used it to perform analysis on the corpus. |
| Outcome: | The proposed model can analyze a contract act in Malaysia and the Australian Social Act for Dependent Child using the IRAC method. |
LePREC: Reasoning as Classification over Structured Factors for Assessing Relevance of Legal Issues (2026.acl-long)
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Fanyu Wang, Xiaoxi Kang, Paul Burgess, Aashish Srivastava, Chetan Arora, Adnan Trakic, Lay-Ki Soon, Md Khalid Hossain, Lizhen Qu
| Challenge: | Large language models (LLMs) have impressive reasoning capabilities, but their precision remains inadequate. |
| Approach: | They propose a framework that integrates neural generation with statistical reasoning to improve the accuracy of large language models. |
| Outcome: | The proposed framework achieves interpretability through transparent feature weighting while maintaining data efficiency through correlation-based statistical classification. |