| cff-version: 1.2.0 |
| message: "If you use this work, please cite it as below." |
| title: "MASSIVE-Agents: A Benchmark for Multilingual Function-Calling in 52 Languages" |
| type: conference-paper |
| authors: |
| - family-names: "Kulkarni" |
| given-names: "Mayank" |
| - family-names: "Mazzia" |
| given-names: "Vittorio" |
| - family-names: "Gaspers" |
| given-names: "Judith" |
| - family-names: "Hench" |
| given-names: "Chris" |
| - family-names: "FitzGerald" |
| given-names: "Jack" |
| year: 2025 |
| month: 11 |
| conference: |
| name: "Findings of the Association for Computational Linguistics: EMNLP 2025" |
| location: "Suzhou, China" |
| publisher: |
| name: "Association for Computational Linguistics" |
| pages: "20193-20215" |
| doi: "10.18653/v1/2025.findings-emnlp.1099" |
| isbn: "979-8-89176-335-7" |
| url: "https://aclanthology.org/2025.findings-emnlp.1099/" |
| abstract: > |
| We present MASSIVE-Agents, a new benchmark for assessing multilingual |
| function calling across 52 languages. We created MASSIVE-Agents by |
| cleaning the original MASSIVE dataset and then reformatting it for |
| evaluation within the Berkeley Function-Calling Leaderboard (BFCL) |
| framework. The full benchmark comprises 47,020 samples with an average |
| of 904 samples per language, covering 55 different functions and 286 |
| arguments. We benchmarked 21 models using Amazon Bedrock and present |
| the results along with associated analyses. MASSIVE-Agents is |
| challenging, with the top model Nova Premier achieving an average |
| Abstract Syntax Tree (AST) Accuracy of 34.05% across all languages, |
| with performance varying significantly from 57.37% for English to as |
| low as 6.81% for Amharic. Some models, particularly smaller ones, |
| yielded a score of zero for the more difficult languages. Additionally, |
| we provide results from ablations using a custom 1-shot prompt, |
| ablations with prompts translated into different languages, and |
| comparisons based on model latency. |
| preferred-citation: |
| type: paper-conference |
| authors: |
| - family-names: "Kulkarni" |
| given-names: "Mayank" |
| - family-names: "Mazzia" |
| given-names: "Vittorio" |
| - family-names: "Gaspers" |
| given-names: "Judith" |
| - family-names: "Hench" |
| given-names: "Chris" |
| - family-names: "FitzGerald" |
| given-names: "Jack" |
| title: "MASSIVE-Agents: A Benchmark for Multilingual Function-Calling in 52 Languages" |
| year: 2025 |
| conference: |
| name: "Findings of the Association for Computational Linguistics: EMNLP 2025" |
| doi: "10.18653/v1/2025.findings-emnlp.1099" |
