mlsanityData to 14 Oct 2026

Benchmarking Harmonized Tariff Schedule Classification Models

arXiv 2412.14179 ↗First posted 4 Dec 2024cs.SE cs.AIcited by 3

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Abstract (arXiv)

The Harmonized Tariff System (HTS) classification industry, essential to e-commerce and international trade, currently lacks standardized benchmarks for evaluating the effectiveness of classification solutions. This study establishes and tests a benchmark framework for imports to the United States, inspired by the benchmarking approaches used in language model evaluation, to systematically compare prominent HTS classification tools. The framework assesses key metrics--such as speed, accuracy, rationality, and HTS code alignment--to provide a comprehensive performance comparison. The study evaluates several industry-leading solutions, including those provided by Zonos, Tarifflo, Avalara, and WCO BACUDA, identifying each tool's strengths and limitations. Results highlight areas for industry-wide improvement and innovation, paving the way for more effective and standardized HTS classification solutions across the international trade and e-commerce sectors.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 4 of its 8 references that are in the map. First posted on arXiv 4 Dec 2024.

Builds on

4 of 8 references.

References · 4

  1. 2020Measuring Massive Multitask Language Understandingcited by 7,963
  2. 2019HellaSwag: Can a Machine Really Finish Your Sentence?cited by 4,100
  3. 2019SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systemscited by 1,729
  4. 2019On the Measure of Intelligencecited by 144

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 2.

3 papers.