FinEvolveBench: A Benchmark for Self-Evolving Agents on Low-Repetition Tasks with Implicit Rewards

Name: FinEvolveBench: A Benchmark for Self-Evolving Agents on Low-Repetition Tasks with Implicit Rewards
Uploaded: 2026-10-03T23:14:14.197132+00:00
Duration: 328 s
Description: The paper introduces FINEVOLVEBENCH, a benchmark for evaluating self-evolving AI agents on low-repetition tasks with implicit rewards and noisy feedback. It tests if agents can use experience accumulated at test time to improve their performance on complex financial predictions, moving beyond traditional recurring task evaluation methods.

The paper introduces FINEVOLVEBENCH, a benchmark for evaluating self-evolving AI agents on low-repetition tasks with implicit rewards and noisy feedback. It tests if agents can use experience accumulated at test time to improve their performance on complex financial predictions, moving beyond traditional recurring task evaluation methods.

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