5 citations · 10 across the 16 of their papers we have counts for
17 papers
Activation Flow: Manufacturing Activations for Steering
Hong Kiat Tan, Linh Le, David Williams-King
Difference-in-means steering requires activations recorded while a model shows the desired behavior, which a sandbagging model withholds by deliberately underperforming. We introdu…
GPS-Bench: A Governance Policy Benchmark for Automating Policy Analysis
Linh Le, Melanie Bui, My Chiffon Nguyen +2
Policy analysis requires more than predicting whether a proposal will pass: it requires identifying who will be affected, how those actors respond, and what follows. LLM-based poli…
A Causal Model for Locating and Unlocking Sandbagging in Model Organisms
Hong Kiat Tan, Linh Le, David Williams-King
Sandbagging models strategically underperform on evaluations while retaining the capabilities being measured. The evaluations that guide frontier-model deployment and governance th…
Reference-Grafting Matches Fine-Tuning at Eliciting Sandbagged Capabilities
Linh Le, Hong Kiat Tan, David Williams-King
Sandbagging, in which a model deliberately underperforms on an evaluation despite retaining the underlying capability, threatens the safety evaluations that frontier-model governan…
Efficient Safety Alignment of Language Models via Latent Personality Traits
Mohamed Amine Merzouk, Nolan Smyth, Damiano Fornasiere +3
Current safety methods for large language models are known to be vulnerable to adversarial attacks, motivating research into robust alternatives. Latent Adversarial Training (LAT)…
"I've Seen How This Goes": Characterizing Diversity via Progressive Conditional Surprise
Matthew Khoriaty, David Williams-King, Shi Feng
Measuring the diversity of creative outputs is central to evaluating post-training mode collapse, comparing decoding strategies, and quantifying creative behavior in both AI and hu…