@inproceedings{akkasi-etal-2024-iml,
title = "i{ML} at {S}em{E}val-2024 Task 2: Safe Biomedical Natural Language Interference for Clinical Trials with {LLM} Based Ensemble Inferencing",
author = "Akkasi, Abbas and
Khan, Adnan and
Shaaban, Mai A. and
Komeili, Majid and
Yaqub, Mohammad",
editor = {Ojha, Atul Kr. and
Do{\u{g}}ru{\"o}z, A. Seza and
Tayyar Madabushi, Harish and
Da San Martino, Giovanni and
Rosenthal, Sara and
Ros{\'a}, Aiala},
booktitle = "Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)",
month = jun,
year = "2024",
address = "Mexico City, Mexico",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.semeval-1.26",
doi = "10.18653/v1/2024.semeval-1.26",
pages = "170--174",
abstract = "We engaged in the shared task 2 at SenEval-2024, employing a diverse set of solutions with a particular emphasis on leveraging a Large Language Model (LLM) based zero-shot inference approach to address the challenge.",
}
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%0 Conference Proceedings
%T iML at SemEval-2024 Task 2: Safe Biomedical Natural Language Interference for Clinical Trials with LLM Based Ensemble Inferencing
%A Akkasi, Abbas
%A Khan, Adnan
%A Shaaban, Mai A.
%A Komeili, Majid
%A Yaqub, Mohammad
%Y Ojha, Atul Kr.
%Y Doğruöz, A. Seza
%Y Tayyar Madabushi, Harish
%Y Da San Martino, Giovanni
%Y Rosenthal, Sara
%Y Rosá, Aiala
%S Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)
%D 2024
%8 June
%I Association for Computational Linguistics
%C Mexico City, Mexico
%F akkasi-etal-2024-iml
%X We engaged in the shared task 2 at SenEval-2024, employing a diverse set of solutions with a particular emphasis on leveraging a Large Language Model (LLM) based zero-shot inference approach to address the challenge.
%R 10.18653/v1/2024.semeval-1.26
%U https://aclanthology.org/2024.semeval-1.26
%U https://doi.org/10.18653/v1/2024.semeval-1.26
%P 170-174
Markdown (Informal)
[iML at SemEval-2024 Task 2: Safe Biomedical Natural Language Interference for Clinical Trials with LLM Based Ensemble Inferencing](https://aclanthology.org/2024.semeval-1.26) (Akkasi et al., SemEval 2024)
ACL