ARCHIVES

1. Chester Palen-Michel, Lizzie Liang, Zhe Wu, and Constantine Lignos. 2024. QueryNER: Seg-mentation of E-commerce Queries. In Proceedings of LREC-COLING, pp. 13455–13470.
2. Josip Tomo Licardo and Nikola Tankovic. 2025. Performance Trade-offs of Optimizing Small Language Models for E-Commerce. arXiv:2510.21970.
3. Yangning Li, Shirong Ma, Xiaobin Wang, Shen Huang, Chengyue Jiang, Hai-Tao Zheng, Pengjun Xie, Fei Huang, and Yong Jiang. 2023. EcomGPT: Instruction-tuning Large Language Models with Chain-of-Task Tasks for E-commerce. arXiv:2308.06966.
4. Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2022. LoRA: Low-Rank Adaptation of Large Language Models. In International Conference on Learning Representations.
5. Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, and Luke Zettlemoyer. 2023. QLoRA: Efficient Finetuning of Quantized LLMs. In Advances in Neural Information Processing Systems, vol. 36.
6. Qwen Team. 2025. Qwen3 Technical Report. arXiv:2505.09388.
7. Qwen Team. 2025. Qwen3-1.7B model card. Hugging Face. Accessed September 27, 2026.
8. Broadening Linguistic Technologies Lab. 2024. QueryNER dataset card. Hugging Face. Local source revision identified in Section 3