5 citations · 6 across the 3 of their papers we have counts for
4 papers
Real Deep Research for AI, Robotics and Beyond
Xueyan Zou, Jianglong Ye, Hao Zhang +7
With the rapid growth of research in AI and robotics now producing over 10,000 papers annually it has become increasingly difficult for researchers to stay up to date. Fast evolvin…
Goldfish: Monolingual Language Models for 350 Languages
Tyler A. Chang, Catherine Arnett, Zhuowen Tu +1
For many low-resource languages, the only available language models are large multilingual models trained on many languages simultaneously. Despite state-of-the-art performance on…
AffordanceLLM: Grounding Affordance from Vision Language Models
Shengyi Qian, Weifeng Chen, Min Bai +3
Affordance grounding refers to the task of finding the area of an object with which one can interact. It is a fundamental but challenging task, as a successful solution requires th…
When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource Languages
Tyler A. Chang, Catherine Arnett, Zhuowen Tu +1
Multilingual language models are widely used to extend NLP systems to low-resource languages. However, concrete evidence for the effects of multilinguality on language modeling per…