2 papers
cs.AI2025
zELO: ELO-inspired Training Method for Rerankers and Embedding Models
Nicholas Pipitone, Ghita Houir Alami, Advaith Avadhanam +2
We introduce a novel training methodology named zELO, which optimizes retrieval performance via the analysis that ranking tasks are statically equivalent to a Thurstone model. Base…
cs.AI2025
The Challenge of Teaching Reasoning to LLMs Without RL or Distillation
Wei Du, Branislav Kisacanin, George Armstrong +22
Reasoning-capable language models achieve state-of-the-art performance in diverse complex tasks by generating long, explicit Chain-of-Thought (CoT) traces. While recent works show…