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20212026
most citedEvaluating and Inducing Personality in Pre-trained Language Models

43 citations · 63 across the 28 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

Multi-Level Narrative Evaluation Outperforms Lexical Features for Mental Health

Yuxi Ma, Jieming Cui, Muyang Li +6

How people narrate their experiences offers a window into how the mind organizes them. Computational approaches to therapeutic writing have evolved from lexical counting to neural…

cs.CL2026

Code over Words: Overcoming Semantic Inertia via Code-Grounded Reasoning

Manjie Xu, Isabella Yin, Xinyi Tu +2

LLMs struggle with Semantic Inertia: the inability to inhibit pre-trained priors (e.g., "Lava is Dangerous") when dynamic, in-context rules contradict them. We probe this phenomeno…

cs.CL2025

Word Embeddings Track Social Group Changes Across 70 Years in China

Yuxi Ma, Yongqian Peng, Yixin Zhu

Language encodes societal beliefs about social groups through word patterns. While computational methods like word embeddings enable quantitative analysis of these patterns, studie…

cs.CL2023★ 5 cited

MEWL: Few-shot multimodal word learning with referential uncertainty

Guangyuan Jiang, Manjie Xu, Shiji Xin +4

Without explicit feedback, humans can rapidly learn the meaning of words. Children can acquire a new word after just a few passive exposures, a process known as fast mapping. This…

cs.CL2022★ 43 cited

Evaluating and Inducing Personality in Pre-trained Language Models

Guangyuan Jiang, Manjie Xu, Song-Chun Zhu +3

Standardized and quantified evaluation of machine behaviors is a crux of understanding LLMs. In this study, we draw inspiration from psychometric studies by leveraging human person…