activity
20222026
most citedRevealing emergent human-like conceptual representations from language prediction

9 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026★ 1 cited

Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models

Ningyu Xu, Qi Zhang, Xipeng Qiu +1

Large language models (LLMs) exhibit emergent behaviors suggestive of human-like reasoning. While recent work has identified structured conceptual representations within these mode…

cs.CL2025★ 9 cited

Revealing emergent human-like conceptual representations from language prediction

Ningyu Xu, Qi Zhang, Chao Du +4

People acquire concepts through rich physical and social experiences and use them to understand and navigate the world. In contrast, large language models (LLMs), trained solely th…

cs.CL2024

On the Tip of the Tongue: Analyzing Conceptual Representation in Large Language Models with Reverse-Dictionary Probe

Ningyu Xu, Qi Zhang, Menghan Zhang +2

Probing and enhancing large language models' reasoning capacity remains a crucial open question. Here we re-purpose the reverse dictionary task as a case study to probe LLMs' capac…

cs.CL2023

Are Structural Concepts Universal in Transformer Language Models? Towards Interpretable Cross-Lingual Generalization

Ningyu Xu, Qi Zhang, Jingting Ye +2

Large language models (LLMs) have exhibited considerable cross-lingual generalization abilities, whereby they implicitly transfer knowledge across languages. However, the transfer…

cs.CL2022★ 3 cited

Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer?

Ningyu Xu, Tao Gui, Ruotian Ma +4

Multilingual BERT (mBERT) has demonstrated considerable cross-lingual syntactic ability, whereby it enables effective zero-shot cross-lingual transfer of syntactic knowledge. The t…