Probing artificial neural networks: insights from neuroscience

16 April 2021

Papers citing "Probing artificial neural networks: insights from neuroscience"

8 / 8 papers shown

Title
RouterKT: Mixture-of-Experts for Knowledge Tracing Han Liao Shuaishuai Zu 43 0 0 11 Apr 2025
Representation Engineering for Large-Language Models: Survey and Research Challenges Lukasz Bartoszcze Sarthak Munshi Bryan Sukidi Jennifer Yen Zejia Yang David Williams-King Linh Le Kosi Asuzu Carsten Maple 102 0 0 24 Feb 2025
Can We Use Probing to Better Understand Fine-tuning and Knowledge Distillation of the BERT NLU? Jakub Ho'scilowicz Marcin Sowanski Piotr Czubowski Artur Janicki 25 2 0 27 Jan 2023
Dissociating language and thought in large language models Kyle Mahowald Anna A. Ivanova I. Blank Nancy Kanwisher J. Tenenbaum Evelina Fedorenko ELM ReLM 29 209 0 16 Jan 2023
Language Cognition and Language Computation -- Human and Machine Language Understanding Shaonan Wang Nai Ding Nan Lin Jiajun Zhang Chengqing Zong 25 2 0 12 Jan 2023
Trustworthy Social Bias Measurement Rishi Bommasani Percy Liang 27 10 0 20 Dec 2022
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception Joel Dapello J. Feather Hang Le Tiago Marques David D. Cox Josh H. McDermott J. DiCarlo SueYeon Chung AAML OOD 19 25 0 12 Nov 2021
Conditional probing: measuring usable information beyond a baseline John Hewitt Kawin Ethayarajh Percy Liang Christopher D. Manning 39 55 0 19 Sep 2021