CAR: conceptualization-augmented reasoner for zero-shot commonsense question answering
The task of zero-shot commonsense question answering evaluates models on their capacity
to reason about general scenarios beyond those presented in specific datasets. Existing …
to reason about general scenarios beyond those presented in specific datasets. Existing …
On the Role of Entity and Event Level Conceptualization in Generalizable Reasoning: A Survey of Tasks, Methods, Applications, and Future Directions
Entity-and event-level conceptualization, as fundamental elements of human cognition,
plays a pivotal role in generalizable reasoning. This process involves abstracting specific …
plays a pivotal role in generalizable reasoning. This process involves abstracting specific …
Under-sampling strategies for better transformer-based classifications models
This paper presents findings from the Check-That! Lab Task 1B-English submission at CLEF
2023. The research developed a method for evaluating the check-worthiness of short …
2023. The research developed a method for evaluating the check-worthiness of short …
Knowcomp at semeval-2024 task 9: Conceptualization-augmented prompting with large language models for lateral reasoning
Lateral thinking is essential in breaking away from conventional thought patterns and finding
innovative solutions to problems. Despite this, language models often struggle with …
innovative solutions to problems. Despite this, language models often struggle with …