Team UTSA-NLP at SemEval 2024 Task 5: Prompt Ensembling for Argument Reasoning in Civil Procedures with GPT4
원문 초록
In this paper, we present our system for the SemEval Task 5, The Legal Argument Reasoning Task in Civil Procedure Challenge. Legal argument reasoning is an essential skill that all law students must master. Moreover, it is important to develop natural language processing solutions that can reason about a question given terse domain-specific contextual information. Our system explores a prompt-based solution using GPT4 to reason over legal arguments. We also evaluate an ensemble of prompting strategies, including chain-of-thought reasoning and in-context learning. Overall, our system results in a Macro F1 of .8095 on the validation dataset and .7315 (5th out of 21 teams) on the final test set. Code for this project is available at https://github.com/danschumac1/CivilPromptReasoningGPT4.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Assay2Mol: large language model-based drug design using BioAssay context
Universal pre-training by iterated random computation
Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective
Conquering the Retina: Bringing Visual in-Context Learning to OCT
Evaluating Cell Type Inference in Vision Language Models Under Varying Visual Context
PRO-V: An Efficient Program Generation Multi-Agent System for Automatic RTL Verification
토론
이 논문과 연결된 포럼 글이 아직 없습니다.