Paper-Conference

Full-Stack Alignment: Co-Aligning AI and Institutions with Thicker Models of Value

R. Lowe, J. Edelman, T. Zhi-Xuan, O. Klingefjord, E. Hain, V. Wang, A. Sarkar, F. Barez, Et Al.

Beyond Linear Steering: Unified Multi-Attribute Control for Language Models

N. Oozeer, L. Marks, F. Barez, A. Abdullah

Precise In-Parameter Concept Erasure in Large Language Models

Y. Gur-Arieh, C. Suslik, Y. Hong, F. Barez, M. Geva

Same Question, Different Words: A Latent Adversarial Framework for Prompt Robustness

T. Fu, F. Barez

Trust Me, I'm Wrong: High-Certainty Hallucinations in LLMs

A. Simhi, I. Itzhak, F. Barez, G. Stanovsky, Y. Belinkov

Rethinking Safety in LLM Fine-Tuning: An Optimization Perspective

M. Kim, J. M. Kwak, L. Alssum, B. Ghanem, P. Torr, D. Krueger, F. Barez†, A. Bibi†

Do Sparse Autoencoders Generalize? A Case Study of Answerability

L. Heindrich, P. Torr, F. Barez, V. Thost

PoisonBench: Assessing Large Language Model Vulnerability to Data Poisoning

T. Fu*, M. Sharma, P. Torr, S. B. Cohen, D. Krueger, F. Barez*

Scaling Sparse Feature Circuit Finding for In-Context Learning

D. Kharlapenko, S. Shabalin, F. Barez, A. Conmy, N. Nanda

In Which Areas of Technical AI Safety Could Geopolitical Rivals Cooperate?

B. Bucknall, S. Siddiqui, L. Thurnherr, C. McGurk, B. Harack, A. Reuel, F. Barez, Et Al.