Jayi2424/HumorGen_SFT_32B

HumorGen SFT Base — 32B

Part of the HumorGen Collection · SaLT Lab, Carnegie Mellon University

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Domain-agnostic multilingual humor pretraining checkpoint at 32B scale. Trained on the SemEval MWAHAHA headline corpus across all languages. Serves as a general-purpose multilingual humor generator and as the starting point for the HumorGen JOKER cross-lingual fine-tuning.

Paper(s): arXiv:2604.09629 · CLEF 2026 Working Notes

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Training

Property	Value
Stage	Supervised Fine-Tuning (SFT)
Backbone	Qwen3-32B (QLoRA 4-bit)
LoRA r / alpha	16 / 16
Data	SemEval MWAHAHA — all languages

Usage

This is a PEFT LoRA adapter. Load the base model and apply the adapter:

from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
import torch

tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen3-32B")
model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-32B", torch_dtype=torch.bfloat16, device_map="auto")
model = PeftModel.from_pretrained(model, "Jayi2424/HumorGen_SFT_32B")

headline = "Scientists discover caffeine is just hope in liquid form"
prompt = (
    "<|im_start|>system\n"
    "You are a comedy writer. Write one sharp, witty joke for the headline.\n<|im_end|>\n"
    f"<|im_start|>user\n{headline}<|im_end|>\n"
    "<|im_start|>assistant\n"
)
inputs  = tokenizer(prompt, return_tensors="pt").to(model.device)
outputs = model.generate(**inputs, max_new_tokens=120, temperature=0.9, top_p=0.95)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Citation

@misc{ajayi2026humorgen,
  title         = {HumorGen: Cognitive Synergy for Humor Generation in Large Language
                   Models via Persona-Based Distillation},
  author        = {Ajayi, Edward and others},
  year          = {2026},
  eprint        = {2604.09629},
  archivePrefix = {arXiv},
  primaryClass  = {cs.CL},
  url           = {https://arxiv.org/abs/2604.09629}
}

@inproceedings{ajayi2026joker,
  title     = {HumorGen at CLEF 2026 JOKER Task 4: Cross-Lingual Constrained
               Pun Generation via the Cognitive Synergy Framework},
  author    = {Ajayi, Edward and others},
  booktitle = {Working Notes of CLEF 2026},
  year      = {2026},
  url       = {https://edwardajayi.github.io/assets/papers/HumorGen-JOKER.pdf}
}