Large language models surpass human experts in predicting neuroscience results
Scientific discoveries often hinge on synthesizing decades of research, a task that potentially outstrips human information processing capacities. Large language models (LLMs) offer a solution. LLMs trained on the vast scientific literature could potentially integrate noisy yet interrelated findings...
Main Authors: | Luo, X, Rechardt, A, Sun, G, Nejad, KK, Yáñez, F, Yilmaz, B, Lee, K, Cohen, AO, Borghesani, V, Pashkov, A, Marinazzo, D, Nicholas, J, Salatiello, A, Sucholutsky, I, Minervini, P, Razavi, S, Rocca, R, Yusifov, E, Okalova, T, Gu, N, Ferianc, M, Khona, M, Patil, KR, Lee, P |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Nature Research
2024
|
Similar Items
-
Surpassing in Dignity and Power
by: Shields, C
Published: (2008) -
Surpassing the conventional heisenberg limit using classical resources
by: Jin, X, et al.
Published: (2013) -
Surpassing the conventional heisenberg limit using classical resources
by: Jin, X, et al.
Published: (2013) -
Dance photography : surpassing the reality of movements.
by: Tan, Selina Hui Juan.
Published: (2011) -
Surpassing Local Optimality in Geometry Processing
by: Zhang, Paul
Published: (2023)