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Clomo: Counterfactual logical modification with large language models
In this study, we delve into the realm of counterfactual reasoning capabilities of large
language models (LLMs). Our primary objective is to cultivate the counterfactual thought …
language models (LLMs). Our primary objective is to cultivate the counterfactual thought …
Multimodal Knowledge Graph Embedding With Missing Data Integration
Y Liang - IEEE Transactions on Computational Social Systems, 2024 - ieeexplore.ieee.org
In real-world network scenarios, modal absence may be caused by various factors, such as
sensor damage, data corruption, and human errors in recording. Effectively integrating …
sensor damage, data corruption, and human errors in recording. Effectively integrating …
Modeling logical content and pattern information for contextual reasoning
P Guo, P Jian, X Shi - 2024 International Joint Conference on …, 2024 - ieeexplore.ieee.org
Logical reasoning tasks have recently become a research hotspot in machine reading
comprehension communities. This task requires models to answer the question by extracting …
comprehension communities. This task requires models to answer the question by extracting …
MuLoR: a multi-graph contrastive network for logical reasoning
J **ao, G Lin, Y **ao, P Li - Knowledge and Information Systems, 2024 - Springer
Logical reasoning tasks are more challenging than traditional machine reading
comprehension tasks. The machine must recognize the logical relationships implicit in the …
comprehension tasks. The machine must recognize the logical relationships implicit in the …