2 papers
cs.CL2026
Predict, Don't React: Value-Based Safety Forecasting for LLM Streaming
Pride Kavumba, Koki Wataoka, Huy H. Nguyen +2
In many practical LLM deployments, a single guardrail is used for both prompt and response moderation. Prompt moderation operates on fully observed text, whereas streaming response…
cs.CL2025
Rubrik's Cube: Testing a New Rubric for Evaluating Explanations on the CUBE dataset
Diana Galvan-Sosa, Gabrielle Gaudeau, Pride Kavumba +5
The performance and usability of Large-Language Models (LLMs) are driving their use in explanation generation tasks. However, despite their widespread adoption, LLM explanations ha…