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20242026
most citedMetadata-based Data Exploration with Retrieval-Augmented Generation for Large Language Models

1 citations · 2 across the 5 of their papers we have counts for

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cs.CL2025

Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations

Shahin Atakishiyev, Housam K. B. Babiker, Jiayi Dai +8

Large language models have exhibited impressive performance across a broad range of downstream tasks in natural language processing. However, how a language model predicts the next…

cs.CL2024

MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba

Masakazu Yoshimura, Teruaki Hayashi, Yota Maeda

An ecosystem of Transformer-based models has been established by building large models with extensive data. Parameter-efficient fine-tuning (PEFT) is a crucial technology for deplo…