2024年6月,第18届国际语义评估研讨会 SemEval 2024在墨西哥举办。期间,组委会揭晓了今年SemEval的评测结果,实验室由李诗怡、李岱霖、王楚涵、邹鑫同学组成的两支参赛队伍,在实验室老师们的指导下分别在Task 4:Multilingual Detection of Persuasion Tech...
In this paper, we split the original benchmark to also support fine-tuning setting and present SemEval Task 9: BRAIN-TEASER(S), the first task at this competition designed to test the system's reasoning and lateral thinking ability. As a popular task, BRAINTEASER(S)'s two subtasks ...
Subtask#Train#Dev Subtask A (monolingual) 119,757 5,000 Subtask A (multilingual) 172,417 4,000 Subtask B 71,027 3,000 Subtask C 3,649 505 Input Data Format Subtask A: An object in the JSON format: { id -> identifier of the example, label -> label (human text: 0, machine ...
"multilingual: train (172417), dev (4,000)\n", "\n", "Subtask B:\n", "train: (71,027), dev (3,000)\n", "\n", "Subtask C:\n", "train: (), dev ()" ] }, { "cell_type":"code", "execution_count":15, "id":"6cab1838", ...
Towards this direction, SemEval 2024 introduces the task of BRAINTEASER, which involves two types of questions -- Sentence Puzzles and Word Puzzles that defy conventional common-sense reasoning and constraints. In this paper, we tackle both types of questions using few-shot prompting on GPT-3.5 ...
来自 arXiv.org 喜欢 0 阅读量: 4 作者:K Petukhova,R Kazakov,E Kochmar 摘要: In this paper, we present our submission to the SemEval-2024 Task 8 "Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text Detection", focusing on the detection of machine-generated texts ...
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