656 citations · 2.6k across the 58 of their papers we have counts for
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cs.CL2024★ 3 cited
$100K or 100 Days: Trade-offs when Pre-Training with Academic Resources
Apoorv Khandelwal, Tian Yun, Nihal V. Nayak +4
Pre-training is notoriously compute-intensive and academic researchers are notoriously under-resourced. It is, therefore, commonly assumed that academics can't pre-train models. In…
cs.CL2022
Do Trajectories Encode Verb Meaning?
Dylan Ebert, Chen Sun, Ellie Pavlick
Distributional models learn representations of words from text, but are criticized for their lack of grounding, or the linking of text to the non-linguistic world. Grounded languag…
cs.CL2021★ 1 cited
Does Vision-and-Language Pretraining Improve Lexical Grounding?
Tian Yun, Chen Sun, Ellie Pavlick
Linguistic representations derived from text alone have been criticized for their lack of grounding, i.e., connecting words to their meanings in the physical world. Vision-and-Lang…