NeurIPS

Chain-of-Thought Is Not Explainability

F. Barez, T.-Y. Wu, I. Arcuschin, M. Lan, V. Wang, N. Siegel, N. Collignon, C. Neo, I. Lee, A. Paren, J. Yan, A. Bibi, D. Fornasiere, R. Trager, Y. Elazar, Y. Bengio

Code Review Bench: An Automated Benchmark for Evaluating the Software Factory

A. Zhang, N.F. Oozeer, A. Zverianskii, D. Ng, T. Pejovic, A. García, J. Clyne, R. Setia, A. Utture, E.J. Ginsberg, S.K. Upadhyay, F. Barez

Pretraining Curricula Enable Selective Fine-tuning

K.J. Sandbrink, M. Whitefield, S.A. Bruijns, J. Rubruck, L.T. Hunt, F. Barez, C. Summerfield

Best-of-N Jailbreaking

J. Hughes, S. Price, A. Lynch, R. Schaeffer, F. Barez, S. Koyejo, H. Sleight, E. Jones, E. Perez

Context Matters: Analyzing the Generalizability of Linear Probing and Steering Across Diverse Scenarios

I. Agarwal, S. Navani, F. Barez

Emerging Risks from Embodied AI Require Urgent Policy Action

J. Perlo, A. Robey, F. Barez, J. Mökander

Establishing Best Practices for Building Rigorous Agentic Benchmarks

Y. Zhu, T. Jin, Y. Pruksachatkun, A. Zhang, S. Liu, S. Cui, S. Kapoor, F. Barez, Et Al.

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.

Interpreting Learned Feedback Patterns in Large Language Models

L. Marks*, A. Abdullah*, C. Neo, R. Arike, D. Krueger, P. Torr, F. Barez*

DeepDecipher: Accessing and Investigating Neuron Activation in Large Language Models

A. Garde, E. Kran, F. Barez