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Found 4 papers, 0 papers with code
Improving Unsupervised Commonsense Reasoning Using Knowledge-Enabled Natural Language Inference
Recent methods based on pre-trained language models have shown strong supervised performance on commonsense reasoning.
WinoLogic: A Zero-Shot Logic-based Diagnostic Dataset for Winograd Schema Challenge
To better evaluate NLMs, we propose a logic-based framework that focuses on high-quality commonsense knowledge.
Class Relationship Embedded Learning for Source-Free Unsupervised Domain Adaptation
To this end, we first regard the classifier weights of the source model as class prototypes to compute class relationship, and then propose a novel probability-based similarity between target-domain samples by embedding the source-domain class relationship, resulting in Class Relationship embedded Similarity (CRS).
TRAC: A Textual Benchmark for Reasoning about Actions and Change
Reasoning about actions and change (RAC) is essential to understand and interact with the ever-changing environment.
