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20192026
most citedExplainability for Large Language Models: A Survey

20 citations · 68 across the 43 of their papers we have counts for

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Showing 2024 · cs.CLShow all

7 papers · 2 filters

cs.CL2024★ 2 cited

Political-LLM: Large Language Models in Political Science

Lincan Li, Jiaqi Li, Catherine Chen +44

In recent years, large language models (LLMs) have been widely adopted in political science tasks such as election prediction, sentiment analysis, policy impact assessment, and mis…

cs.CL2024

From Babbling to Fluency: Evaluating the Evolution of Language Models in Terms of Human Language Acquisition

Qiyuan Yang, Pengda Wang, Luke D. Plonsky +2

We examine the language capabilities of language models (LMs) from the critical perspective of human language acquisition. Building on classical language development theories, we p…

cs.CL2024

MiCEval: Unveiling Multimodal Chain of Thought's Quality via Image Description and Reasoning Steps

Xiongtao Zhou, Jie He, Lanyu Chen +5

Multimodal Chain of Thought (MCoT) is a popular prompting strategy for improving the performance of multimodal large language models (MLLMs) across a range of complex reasoning tas…

cs.CL2024★ 3 cited

Language and Multimodal Models in Sports: A Survey of Datasets and Applications

Haotian Xia, Zhengbang Yang, Yun Zhao +7

Recent integration of Natural Language Processing (NLP) and multimodal models has advanced the field of sports analytics. This survey presents a comprehensive review of the dataset…

cs.CL2024★ 4 cited

Will the Real Linda Please Stand up...to Large Language Models? Examining the Representativeness Heuristic in LLMs

Pengda Wang, Zilin Xiao, Hanjie Chen +1

Although large language models (LLMs) have demonstrated remarkable proficiency in modeling text and generating human-like text, they may exhibit biases acquired from training data…

cs.CL2024

RORA: Robust Free-Text Rationale Evaluation

Zhengping Jiang, Yining Lu, Hanjie Chen +3

Free-text rationales play a pivotal role in explainable NLP, bridging the knowledge and reasoning gaps behind a model's decision-making. However, due to the diversity of potential…