← Wednesday, October 21, 2026AgentsBenchmark
ALTK-Evolve reaches 67.5% Pass⁴ on τ²-bench retail with learned memory
ALTK-Evolve uses learned memory with GPT-4.1 to reach 67.5% Pass⁴ on τ²-bench retail, above every listed retail entry. The result suggests memory can substantially improve a basic customer-service agent without changing model weights.
- What
- ALTK-Evolve builds a customer-service playbook from an agent’s training-task successes and failures, without weight updates or human annotation.
- How
- GPT-4.1 distills those attempts into behavioral guidelines, which are appended to the ReAct agent’s system prompt.
- Why it matters
- The learned-memory setup reaches 67.5% Pass⁴ on τ²-bench retail, adapting agent behavior while leaving model weights unchanged.
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