Papers with GATE
GATE: Graph-based Adaptive Tool Evolution Across Diverse Tasks (2026.acl-long)
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Jianwen Luo, Yiming Huang, Jinxiang Meng, Fangyu Lei, Shizhu He, Xiao Liu, Shanshan Jiang, Bin Dong, Jun Zhao, Kang Liu
| Challenge: | Existing toolsets that use large language models are limited to single-task settings. |
| Approach: | They propose a framework that dynamically constructs and evolves a hierarchical graph of reusable tools across multiple scenarios. |
| Outcome: | The proposed framework achieves up to 4.3 faster milestone completion in Minecraft compared to the previous state-of-the-art method and provides an average improvement of 9.23% over existing tool-making methods in code generation tasks and 10.03% in agent tasks. |
E-magyar – A Digital Language Processing System (L18-1)
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Tamás Váradi, Eszter Simon, Bálint Sass, Iván Mittelholcz, Attila Novák, Balázs Indig, Richárd Farkas, Veronika Vincze
| Challenge: | e-magyar is a free, open, modular text processing pipeline for Hungarian . existing tools were overhauled to operate in the pipeline with a uniform encoding and run in the same Java platform. |
| Approach: | e-magyar is a free, open, modular text processing pipeline for Hungarian . it was created by a collaborative effort by the language technology community . the system is aimed at a broad range of users, from language developers to researchers . |
| Outcome: | The proposed tool is open source and available for download on the HFST framework. |
The LODeXporter: Flexible Generation of Linked Open Data Triples from NLP Frameworks for Automatic Knowledge Base Construction (L18-1)
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| Challenge: | Linked Open Data (LOD) principles are used to export natural language processing (NLP) results to graph-based knowledge base. |
| Approach: | They propose a method for exporting NLP results to a graph-based knowledge base using Linked Open Data principles. |
| Outcome: | The proposed method is available as an open source component for the GATE framework and is available on GitHub. |