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cs.CL2025
Robustness of Neurosymbolic Reasoners on First-Order Logic Problems
Hannah Bansal, Kemal Kurniawan, Lea Frermann
Recent trends in NLP aim to improve reasoning capabilities in Large Language Models (LLMs), with key focus on generalization and robustness to variations in tasks. Counterfactual t…
cs.LG2025
Training and Evaluating with Human Label Variation: An Empirical Study
Kemal Kurniawan, Meladel Mistica, Timothy Baldwin +1
Human label variation (HLV) challenges the standard assumption that a labelled instance has a single ground truth, instead embracing the natural variation in human annotation to tr…