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IBM Reports ALTK-Evolve Guidelines Improve GPT-4.1 Customer Service Benchmark Results

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IBM Research reports that ALTK-Evolve improved GPT-4.1’s reliability on customer service tasks by adding learned behavioral guidelines to its prompts, raising Pass^4 on held-out τ²-bench retail tasks from 57.5% to 67.5%. Its result on the full base split for retail also exceeded every entry in the benchmark’s October 12, 2026 leaderboard snapshot. ALTK-Evolve extracts guidelines from agents’ training attempts without updating model weights or using human annotation. The useful guideline set varied by task: airline reliability benefited most from a smaller set. Adding guidelines increased input token costs, while slightly reducing conversation turns when comparing successful runs on the same tasks.

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10/20
  1. ALTK-Evolve uses learned memory to top τ²-bench retail results with GPT-4.1

    IBM Research reports that ALTK-Evolve extracts behavioral guidelines from agents’ training attempts and appends them to prompts, improving customer service performance without weight updates or human annotation. On held-out τ²-bench retail tasks, GPT-4.1’s Pass^4 increased from 57.5% to 67.5%; airline reliability benefited most from a smaller guideline set. Its full-base-split retail result also exceeded every entry in the October 12, 2026 leaderboard snapshot. Guidelines increased input token costs while slightly reducing conversation turns on matched successful runs.

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