Davies, Adam

11 publications

AAAI 2025 Can LLMs Reliably Simulate Human Learner Actions? a Simulation Authoring Framework for Open-Ended Learning Environments Amogh Mannekote, Adam Davies, Jina Kang, Kristy Elizabeth Boyer

ICML 2025 Focus on This, Not That! Steering LLMs with Adaptive Feature Specification Tom A. Lamb, Adam Davies, Alasdair Paren, Philip Torr, Francesco Pinto

ICLRW 2025 Focus on This, Not That! Steering LLMs with Adaptive Feature Specification Tom A. Lamb, Adam Davies, Alasdair Paren, Philip Torr, Francesco Pinto

JAIR 2025 Mechanisms of Symbol Processing for In-Context Learning in Transformer Networks Paul Smolensky, Roland Fernandez, Zhenghao Herbert Zhou, Mattia Opper, Adam Davies, Jianfeng Gao

ICLRW 2025 Social Science Is Necessary for Operationalizing Socially Responsible Foundation Models Adam Davies, Elisa Nguyen, Michael Simeone, Erik Johnston, Martin Gubri

NeurIPSW 2024 Competence-Based Analysis of Language Models Adam Davies, Jize Jiang, ChengXiang Zhai

NeurIPSW 2024 Competence-Based Analysis of Language Models Adam Davies, Jize Jiang, ChengXiang Zhai

NeurIPS 2024 Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models Arshia Hemmat, Adam Davies, Tom A. Lamb, Jianhao Yuan, Philip Torr, Ashkan Khakzar, Francesco Pinto

NeurIPSW 2024 Measuring the Reliability of Causal Probing Methods: Tradeoffs, Limitations, and the Plight of Nullifying Interventions Marc Canby, Adam Davies, Chirag Rastogi, Julia Hockenmaier

ICML 2024 Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators Jianhao Yuan, Francesco Pinto, Adam Davies, Philip Torr

ICMLW 2024 Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators Jianhao Yuan, Francesco Pinto, Adam Davies, Philip Torr