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cs.AI2026
Open Problems in Constitutional Preference Reconstruction
Eleanor Clifford, Michael Amir, Arduin Findeis +2
Pairwise preference data is widely used for training and evaluating language models (e.g., RLHF), but each datapoint records a \emph{choice}, not the rationale behind it. Methods s…
cs.CL2026
LLMs Contain Multitudes: How Deployment Context Reshapes Model-Level Preferences and Values
Filip Trhlik, Aoife O'Flynn, Angela Yu +2
Large language models (LLMs) are increasingly characterised in recent evaluation work as having stable, model-level preference and value systems. However, accompanying robustness c…