publications


topics: πŸ—£οΈ LLMs/NLP (16), πŸ”Ž (mechanistic) interpretability (6), πŸ“ evaluation + benchmarking (6), 🌐 social science (5), πŸ’­ theory (5), πŸ”¨ causality (4), 🧠 cognitive science (4), πŸ—ΊοΈ out-of-distribution (4), πŸ€– agents (3), πŸ–ΌοΈ synthetic data (3), πŸŽ“ AI for education (2), πŸ“Š data science (2), πŸ‘οΈ multimodality (2), 🎭 simulation (2)
16 publications
titleyearvenueauthorstopicslinks
Open and Emergent Problems in Agentic Privacy and Security: A Contextual Angle2026GoogleFull author list (visible list abbreviated): Eugene Bagdasarian, Lillian Tsai, Sahar Abdelnabi, Ananth Balashankar, Borja de Balle Pigem, Sebastian Benthall, Igor Bilogrevic, Eleanor Birrell, Elie Bursztein, Kamalika Chaudhuri, Madiha Zahrah Choksi, Mihai Christodorescu, Rachel Cummings, Adam Davies, Dj Dvijotham, Seliem El-Sayed, Ferdinando Fioretto, Matt Franchi, Julien Freudiger, Adria Gascon, Roxana Geambasu, Sahra Ghalebikesabi, Hamed Haddadi, Jamie Hayes, Ashish Hooda, Amir Houmansadr, Somesh Jha, Peter Kairouz, ChloΓ© Kiddon, Tadayoshi Kohno, Abdullatif KΓΆksal, Alison Lentz, Haoran Li, Tianshi Li, Nathan Malkin, Sarah Meiklejohn, Niloofar Mireshghallah, Sewoong Oh, Katherine Ortiz, Ivan Petrov, Francesco Pinto, Daniel Ramage, Mariana Raykova, Franziska Roesner, Edo Roth, Jacqueline Rowe, Khawaja Shams, Reza Shokri, Ilia Shumailov, Yan Shvartzshnaider, Dawn Song, Jose Such, Octavian Suciu, Pierre Tholoniat, Matt Tierney, Trishita Tiwari, Hal Triedman, Ren Yi, Wen Zhang, Xuhui Zhou, Kassem Fawaz, Stefan Mellem, Helen Nissenbaum, Nina Taft, Sarah de Haas, Marco GruteserπŸ—£οΈπŸ€–
Interpreting, Evaluating, and Controlling Features Learned and Leveraged by Foundation Models2026Dissertation (UIUC)DaviesπŸ—£οΈπŸ”ŽπŸ§ πŸ”¨πŸ—ΊοΈπŸ’­πŸ“πŸ–ΌοΈ
How Reliable are Causal Probing Interventions?2025IJCNLP-AACLCanby*, Davies*, Rastogi, Hockenmaier
(* denotes equal contribution)
πŸ—£οΈπŸ”ŽπŸ“πŸ’­
Mechanisms of Symbol Processing for In-Context Learning in Transformer Networks2025JAIRSmolensky, Fernandez, Zhou, Opper, Davies, GaoπŸ—£οΈπŸ§ πŸ”ŽπŸ’­
Evaluating and Designing Sparse Autoencoders by Approximating Quasi-Orthogonality2025COLMLee, Davies, Canby, HockenmaierπŸ—£οΈπŸ”ŽπŸ’­πŸ“
Do Role-Playing Agents Practice What They Preach? Belief-Behavior Alignment in LLM-Based Simulations of Human Trust2025SocialSim @ COLM 2025Mannekote, Davies, Li, Boyer, Zhai, Dorr, PintoπŸ—£οΈπŸ€–πŸŽ­πŸŒπŸ“
Focus On This, Not That! Steering LLMs with Adaptive Feature Specification2025ICMLLamb, Davies, Paren, Torr, PintoπŸ—£οΈπŸ”¨πŸ—ΊοΈ
Social Science Is Necessary for Operationalizing Socially Responsible Foundation Models2025HAIC @ ICLR 2025Davies, Nguyen, Simeone, Johnston, GubriπŸ—£οΈπŸŒ
Can LLMs Reliably Simulate Human Learner Actions? A Simulation Authoring Framework for Open-Ended Learning Environments2025AAAIMannekote, Davies, Kang, BoyerπŸ—£οΈπŸ€–πŸŽ­πŸŽ“πŸ“
Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models2024NeurIPSHemmat, Davies, Lamb, Yuan, Torr, Khakzar, PintoπŸ—£οΈπŸ‘οΈπŸ“πŸ—ΊοΈπŸ–ΌοΈ
Competence-Based Analysis of Language Models2024IAI @ NeurIPS 2024Davies, Jiang, ZhaiπŸ—£οΈπŸ”ŽπŸ’­πŸ”¨πŸ§ 
Large language models for whole-learner support: opportunities and challenges2024Frontiers in AIMannekote, Davies, Pinto, Zhang, Olds, Schroeder, Lehman, Zapata-Rivera, ZhaiπŸ—£οΈπŸŽ“πŸŒ
The cognitive revolution in interpretability: From explaining behavior to interpreting representations and algorithms2024arXivDavies, KhakzarπŸ—£οΈπŸ§ πŸ”Ž
Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators2024ICMLYuan*, Pinto*, Davies*, Torr
(* denotes equal contribution)
πŸ—£οΈπŸ–ΌοΈπŸ”¨πŸ—ΊοΈπŸ‘οΈ
Understanding the social construction of juvenile delinquency: insights from semantic analysis of big-data historical newspaper collections2024JCSSZhang, Davies, ZhaiπŸ—£οΈπŸŒπŸ“Š
Toward a big data analysis system for historical newspaper collections research2022PASCSatheesan, Davies, Craig, Zhang, ZhaiπŸ—£οΈπŸŒπŸ“Š