@inproceedings{jeong-etal-2026-team,
title = "Team {YTY} at {S}em{E}val 2026 task 12: Option-Aware Retrieval and Cross-Encoder Reasoning Framework for Abductive Event Reasoning",
author = "Jeong, Younghee and
Zhao, Yixin and
Le, Hoang Bao Trung",
editor = "Kochmar, Ekaterina and
Ghosh, Debanjan and
North, Kai and
Komachi, Mamoru and
Zampieri, Marcos",
booktitle = "Proceedings of the 20th {I}nternational {W}orkshop on {S}emantic {E}valuation (2026)",
month = jul,
year = "2026",
address = "San Diego, California, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.semeval-1.249/",
doi = "10.18653/v1/2026.semeval-1.249",
pages = "1979--1987",
ISBN = "979-8-89176-414-9",
abstract = "Abductive reasoning{---}the capacity to infer the most plausible explanation from incomplete or noisy observations{---}remains a significant hurdle for language models that often rely on simple associative patterns. In this paper, we present our framework for the SemEval 2026 Task 12. We propose an Option-Aware Retrieval and Cross-Encoder Reasoning Framework designed to bridge the gap between evidence acquisition and causal inference. Our architecture utilizes a dual-track retrieval strategy that gathers both global background and option-specific evidence, ensuring high recall of decisive clues. This is coupled with a 4-pass independent cross-encoder validation using DeBERTa-v3-large, which isolates individual hypotheses to prevent attention dispersion. Experimental results on the official dataset show that our system achieves a robust test score of 0.8358."
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<abstract>Abductive reasoning—the capacity to infer the most plausible explanation from incomplete or noisy observations—remains a significant hurdle for language models that often rely on simple associative patterns. In this paper, we present our framework for the SemEval 2026 Task 12. We propose an Option-Aware Retrieval and Cross-Encoder Reasoning Framework designed to bridge the gap between evidence acquisition and causal inference. Our architecture utilizes a dual-track retrieval strategy that gathers both global background and option-specific evidence, ensuring high recall of decisive clues. This is coupled with a 4-pass independent cross-encoder validation using DeBERTa-v3-large, which isolates individual hypotheses to prevent attention dispersion. Experimental results on the official dataset show that our system achieves a robust test score of 0.8358.</abstract>
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%0 Conference Proceedings
%T Team YTY at SemEval 2026 task 12: Option-Aware Retrieval and Cross-Encoder Reasoning Framework for Abductive Event Reasoning
%A Jeong, Younghee
%A Zhao, Yixin
%A Le, Hoang Bao Trung
%Y Kochmar, Ekaterina
%Y Ghosh, Debanjan
%Y North, Kai
%Y Komachi, Mamoru
%Y Zampieri, Marcos
%S Proceedings of the 20th International Workshop on Semantic Evaluation (2026)
%D 2026
%8 July
%I Association for Computational Linguistics
%C San Diego, California, USA
%@ 979-8-89176-414-9
%F jeong-etal-2026-team
%X Abductive reasoning—the capacity to infer the most plausible explanation from incomplete or noisy observations—remains a significant hurdle for language models that often rely on simple associative patterns. In this paper, we present our framework for the SemEval 2026 Task 12. We propose an Option-Aware Retrieval and Cross-Encoder Reasoning Framework designed to bridge the gap between evidence acquisition and causal inference. Our architecture utilizes a dual-track retrieval strategy that gathers both global background and option-specific evidence, ensuring high recall of decisive clues. This is coupled with a 4-pass independent cross-encoder validation using DeBERTa-v3-large, which isolates individual hypotheses to prevent attention dispersion. Experimental results on the official dataset show that our system achieves a robust test score of 0.8358.
%R 10.18653/v1/2026.semeval-1.249
%U https://aclanthology.org/2026.semeval-1.249/
%U https://doi.org/10.18653/v1/2026.semeval-1.249
%P 1979-1987
Markdown (Informal)
[Team YTY at SemEval 2026 task 12: Option-Aware Retrieval and Cross-Encoder Reasoning Framework for Abductive Event Reasoning](https://aclanthology.org/2026.semeval-1.249/) (Jeong et al., SemEval 2026)
ACL