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Shijia Zhou

2 accepted papers

2026

Compositional-ARC: Assessing Systematic Generalization in Abstract Spatial Reasoning

ICLR 2026poster

Systematic generalization refers to the capacity to understand and generate novel combinations from known components. Despite recent progress by large language models (LLMs) across various domains, these models often fail to extend their knowledge to novel compositional scenarios, revealing notable…

Cited by 0SourceScholar
2024

Constructions Are So Difficult That Even Large Language Models Get Them Right for the Wrong Reasons

COLING 2024main

In this paper, we make a contribution that can be understood from two perspectives: from an NLP perspective, we introduce a small challenge dataset for NLI with large lexical overlap, which minimises the possibility of models discerning entailment solely based on token distinctions, and show that GP…