Research collection
#calibrated-reward
Research tagged calibrated-reward: explanations, evidence, limitations and connections between papers.
4 results
A calibrated reward helps models follow rules and answer well
CaLIF raises added-rule compliance while keeping answer quality near base across five tested model configurations.
Synthetic game practice improves Minecraft task success
Player-1 adds synthetic game practice after gameplay examples, improving one model's average success on 300 Minecraft tasks.
Long agent tasks gain verified progress feedback
Tev-Gym adds verified progress feedback to long agent tasks, improving full solves on an 18-task computing-and-math test.
A vision-language reward model learns from caption edits
A label-free vision-language scorer learns from caption edits; verifier-trained selection reduces absent object mentions in tested captions.