Tell, don't show: Declarative facts influence how LLMs generalize

12 December 2023

Papers citing "Tell, don't show: Declarative facts influence how LLMs generalize"

10 / 10 papers shown

Title
On the generalization of language models from in-context learning and finetuning: a controlled study Andrew Kyle Lampinen Arslan Chaudhry Stephanie Chan Cody Wild Diane Wan Alex Ku Jorg Bornschein Razvan Pascanu Murray Shanahan James L. McClelland 157 5 0 01 May 2025
The Alignment Problem from a Deep Learning Perspective Richard Ngo Lawrence Chan Sören Mindermann 137 192 0 30 Aug 2022
Emergent Abilities of Large Language Models Jason W. Wei Yi Tay Rishi Bommasani Colin Raffel Barret Zoph ... Tatsunori Hashimoto Oriol Vinyals Percy Liang J. Dean W. Fedus ELM ReLM LRM 292 2,521 0 15 Jun 2022
Training Compute-Optimal Large Language Models Jordan Hoffmann Sebastian Borgeaud A. Mensch Elena Buchatskaya Trevor Cai ... Karen Simonyan Erich Elsen Jack W. Rae Oriol Vinyals Laurent Sifre AI4TS 208 1,987 0 29 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 856 9,714 0 28 Jan 2022
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 260 294 0 28 Sep 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 651 4,925 0 23 Jan 2020
A Constructive Prediction of the Generalization Error Across Scales Jonathan S. Rosenfeld Amir Rosenfeld Yonatan Belinkov Nir Shavit 105 215 0 27 Sep 2019
Deep Learning Scaling is Predictable, Empirically Joel Hestness Sharan Narang Newsha Ardalani G. Diamos Heewoo Jun Hassan Kianinejad Md. Mostofa Ali Patwary Yang Yang Yanqi Zhou 112 744 0 01 Dec 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 221 2,910 0 14 Mar 2017