@inproceedings{r-s-etal-2026-typecot,
    title = "{T}ype{C}o{T} at {UZH} Shared Task 2026: Reconstructing Argumentative Structure in {UN} Resolutions using Type-Informed Chain-of-Thought",
    author = "R S, Chandan Kumar  and
      Ulli, Vinay Babu  and
      Kumari, Jyoti  and
      Singh, Vaibhav",
    editor = "Elaraby, Mohamed  and
      Hautli-Janisz, Annette  and
      Romberg, Julia  and
      Musi, Elena  and
      Ruggeri, Federico  and
      Lawrence, John",
    booktitle = "Proceedings of the 13th Workshop on Argument Mining and Reasoning",
    month = jul,
    year = "2026",
    address = "San Diego, California, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl-workshops/2026.argmining-1.15/",
    pages = "120--124",
    ISBN = "979-8-89176-399-9",
    abstract = "United Nations and UNESCO resolutions encode complex collective reasoning through highly structured preambles and operative clauses. Reconstructing this implicit argumentative structure is a challenging natural language processing task. This paper describes our submission to the UZH Shared Task at the ArgMining Workshop 2026. Adhering to the strict constraint of using open-weight models with at most 8B parameters, we propose a highly efficient, modular pipeline built entirely upon the Qwen-2.5-7B-Instruct architecture. To address Subtask 1, we decouple the problem, employing a 4-bit quantized LoRA adapter via the Unsloth framework for paragraph type classification and a type-informed chain-of-thought approach for thematic tagging and relation prediction."
}