1 citations · 2 across the 3 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.LG2026
Judging the Judges: Confidence and Disagreement in Rubrics as Rewards
Michael Tian-Yue Liu, Anne Harrington, Trevor Darrell +1
Rubrics as Rewards (RaR) extends reinforcement learning to non-verifiable domains by using an LLM judge to score responses against a structured rubric. Prior work has focused on im…
cs.LG2026
When Does Continual Learning Require Learning
Anne Harrington, Nayan Saxena, Michael Murphy +7
As large language models (LLMs) become increasingly capable, the next question is how can we enable models to continually learn? Today, the field largely frames this as a problem o…