6 citations · 6 across the 9 of their papers we have counts for
3 papers · 1 filter
When RLHF Fails: A Mechanistic Taxonomy of Reward Hacking, Collapse, and Evaluator Gaming
Zelalem Abahana, David Evans, Satish Mahadevan Srinivasan +1
RLHF evaluation should track how failures emerge, where they localize, and which warning signals appear before external quality degrades. We study this problem with a compact RLHF…
NoisyCoconut: Counterfactual Consensus via Latent Space Reasoning
Michael Jerge, David Evans
This paper presents NoisyCoconut, a novel inference-time method that enhances large language model (LLM) reliability by manipulating internal representations. Unlike fine-tuning me…
White-Box Sensitivity Auditing with Steering Vectors
Hannah Cyberey, Yangfeng Ji, David Evans
Algorithmic audits are essential tools for examining systems for properties required by regulators or desired by operators. Current audits of large language models (LLMs) primarily…