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...
Հիմնական հեղինակներ: | 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 |
---|---|
Ձևաչափ: | Journal article |
Լեզու: | English |
Հրապարակվել է: |
Nature Research
2024
|
Նմանատիպ նյութեր
-
Surpassing in Dignity and Power
: Shields, C
Հրապարակվել է: (2008) -
Surpassing the conventional heisenberg limit using classical resources
: Jin, X, և այլն
Հրապարակվել է: (2013) -
Surpassing the conventional heisenberg limit using classical resources
: Jin, X, և այլն
Հրապարակվել է: (2013) -
Dance photography : surpassing the reality of movements.
: Tan, Selina Hui Juan.
Հրապարակվել է: (2011) -
Surpassing Local Optimality in Geometry Processing
: Zhang, Paul
Հրապարակվել է: (2023)