3 papers
cs.CL2026
Self-Generated Text Recognition: Quality Heuristics, Cross-Task Transfer, and Downstream Bias in LLM Evaluation
Jesse St. Amand, Callum Canavan, Sohaib Imran +5
Self-Generated Text Recognition (SGTR)--the ability of an LLM to identify its own outputs--poses risks to AI safeguards that rely on LLMs as evaluators or monitors: an LLM may reco…
cs.LG2026
Three Concrete Challenges and Two Hopes for the Safety of Unsupervised Elicitation
Callum Canavan, Aditya Shrivastava, Allison Qi +2
To steer language models towards truthful outputs on tasks which are beyond human capability, previous work has suggested training models on easy tasks to steer them on harder ones…
cs.HC2025
Confirmation bias: A challenge for scalable oversight
Gabriel Recchia, Chatrik Singh Mangat, Jinu Nyachhyon +4
Scalable oversight protocols aim to empower evaluators to accurately verify AI models more capable than themselves. However, human evaluators are subject to biases that can lead to…