FIELD NOTES TOPIC
bias in ai
2 notes, newest first.
When the Judge Changes, So Does the Measurement: Auditing LLM-as-Judge Reliability
The paper investigates how changes in the evaluators used by large language models (LLMs) to score candidate responses can impact the model's performance and reliability. The study examines two common upgrade paths for…
The Blind Curator: How a Biased Judge Silently Disables Skill Retirement in Self-Evolving Agents
The authors investigate how a biased judge affects the retirement of skills in self-evolving agents, particularly in reference-free tasks. They show that a biased judge can cause a mechanism failure they call 'silent…
