1 citations · 1 across the 4 of their papers we have counts for
4 papers
Self-Generated Text Recognition: Quality Heuristics, Cross-Task Transfer, and Downstream Bias in LLM Evaluation
Jesse St. Amand, Callum Canavan, Sohaib Imran +5
Self-Generated Text Recognition (SGTR)--the ability of an LLM to identify its own outputs--poses risks to AI safeguards that rely on LLMs as evaluators or monitors: an LLM may reco…
Demonstrating Generalization Failures via Mixtures of Conditional Policies
Jou Barzdukas, Jack Peck, Julian Schulz +3
Post-training of frontier language models is conducted on curated task suites, and inevitably leaves a distribution shift between training and deployment environments. This exposes…
KL-Regularised Q-Learning: A Token-level Action-Value perspective on Online RLHF
Jason R Brown, Lennie Wells, Edward James Young +1
Proximal Policy Optimisation (PPO) is an established and effective policy gradient algorithm used for Language Model Reinforcement Learning from Human Feedback (LM-RLHF). PPO perfo…
Regularised Canonical Correlation Analysis: graphical lasso, biplots and beyond
Lennie Wells, Kumar Thurimella, Sergio Bacallado
Recent developments in regularized Canonical Correlation Analysis (CCA) promise powerful methods for high-dimensional, multiview data analysis. However, justifying the structural a…