@inproceedings{hu-etal-2026-team,
    title = "Team hugang11 at {S}em{E}val-2026 Task 1, Subtask A ({C}hinese): A {C}o{T}-{SFT}, Teacher-Constructed {DPO}, and Deterministic Post-processing Pipeline for Humor Generation",
    author = "Hu, Gang  and
      Yang, Liu  and
      Li, Jing",
    editor = "Kochmar, Ekaterina  and
      Ghosh, Debanjan  and
      North, Kai  and
      Komachi, Mamoru",
    booktitle = "Proceedings of the 20th {I}nternational {W}orkshop on {S}emantic {E}valuation (2026)",
    month = jul,
    year = "2026",
    address = "San Diego, California, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl-workshops/2026.semeval-1.220/",
    pages = "1724--1729",
    ISBN = "979-8-89176-414-9",
    abstract = "We present a system for SemEval-2026 Task 1, Subtask A (Chinese), which addresses humor generation with a three-stage pipeline combining CoT-SFT, teacher-constructed DPO, and deterministic post-processing. Built on Qwen2.5-7B-Instruct-bnb-4bit, the system achieved a live leaderboard rating of 991 and ranked in the second group. Our results suggest that robust inference-time control is as important as alignment-oriented training for humor generation."
}