Runqian Wang — accepted AI-conference papers

2026

ARC Is a Vision Problem!

Keya Hu, Ali Cy, Linlu Qiu, Xiaoman Delores Ding, Runqian Wang, Yeyin Eva Zhu +2

CVPR 2026

The Abstraction and Reasoning Corpus (ARC) is designed to promote research on abstract reasoning, a fundamental aspect of human intelligence. Common approaches to ARC treat it as a language-oriented problem, addressed by large language models (LLMs) or recurrent reasoning models. However, although t

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2024

$\textit{Trans-LoRA}$: towards data-free Transferable Parameter Efficient Finetuning

Runqian Wang, Soumya Ghosh, David Daniel Cox, Diego Antognini, Aude Oliva, Rogerio Feris +1

NeurIPS 2024poster

Low-rank adapters (LoRA) and their variants are popular parameter-efficient fine-tuning (PEFT) techniques that closely match full model fine-tune performance while requiring only a small number of additional parameters. These additional LoRA parameters are specific to the base model being adapted. W…

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