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cs.CL2025
Scaling Laws Are Unreliable for Downstream Tasks: A Reality Check
Nicholas Lourie, Michael Y. Hu, Kyunghyun Cho
Downstream scaling laws aim to predict task performance at larger scales from the model's performance at smaller scales. Whether such prediction should be possible is unclear: some…
cs.CL2025
What's In Your Field? Mapping Scientific Research with Knowledge Graphs and Large Language Models
Abhipsha Das, Nicholas Lourie, Siavash Golkar +1
The scientific literature's exponential growth makes it increasingly challenging to navigate and synthesize knowledge across disciplines. Large language models (LLMs) are powerful…