Part 6/8:
This structure is reflected in the Paperbench evaluation process, where a rubric hierarchy establishes a nuanced grading mechanism. Instead of a binary pass-fail system, submissions receive scores based on granular components, allowing for partial credit and incremental learning. Such an approach reflects how humans generally assess work, acknowledging success along various points while allowing for constructive feedback on shortcomings.
As part of the ongoing research, a special iteration of the agent was developed, promoting persistence in problem-solving over stringent timeframes. This adjustment yielded improvements in scores, showcasing the agent’s increased capability to tackle complex challenges.