FIELD NOTES TOPIC
self-supervision
2 notes, newest first.
Shockingly Simple Self-retrospection Improves Agentic Models Without RL
The preprint introduces Retrospection-Only Fine-Tuning (ROFT), an online procedure in which an agent attempts a task, observes feedback, generates a retrospective explanation, and fine-tunes only on the explanation…
Learning to Stop without Learning to Stop: Self-Supervised Confidence Training Improves Reasoning Efficiency
The preprint studies whether reasoning efficiency can improve without directly optimizing length or adding an inference-time stopping mechanism. It fine-tunes models to predict confidence at intermediate points in…
