12 citations · 15 across the 12 of their papers we have counts for
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cs.CV2024
Harnessing Webpage UIs for Text-Rich Visual Understanding
Junpeng Liu, Tianyue Ou, Yifan Song +6
Text-rich visual understanding-the ability to process environments where dense textual content is integrated with visuals-is crucial for multimodal large language models (MLLMs) to…
cs.CL2024
Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning
Xiaochuan Li, Zichun Yu, Chenyan Xiong
Synthetic data has been widely used to train large language models, but their generative nature inevitably introduces noisy, non-informative, and misleading learning signals. In th…
cs.CL2024★ 2 cited
MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models
Zichun Yu, Spandan Das, Chenyan Xiong
Pretraining data selection has the potential to improve language model pretraining efficiency by utilizing higher-quality data from massive web data corpora. Current data selection…