Several papers co-authored by IRLab-ers have been accepted at EMNLP 2024: The 2024 Conference on Empirical Methods in Natural Language Processing:
- Xinyi Chen, Baohao Liao, Jirui Qi, Panagiotis Eustratiadis, Christof Monz, Arianna Bisazza, and Maarten de Rijke. The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models
- Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, and Zhaochun Ren. KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
- Thong Nguyen, Shubham Chatterjee, Sean MacAvaney, Ian Mackie, Jeff Dalton, Andrew Yates. DynLM: Dynamic Vocabularies for Learned Sparse Retrieval with Entities
- Vaishali Pal, Evangelos Kanoulas, Andrew Yates, and Maarten de Rijke. Table Question Answering for Low-resourced Indic Languages
- Di Wu, Yibin Lei, Andrew Yates, and Christof Monz. Representational Isomorphism and Alignment of Multilingual Large Language Models
- Yifei Yuan, Yang Deng, Anders Søgaard, Mohammad Aliannejadi. Unlocking Markets: A Multilingual Benchmark to Cross-Market Question Answering
- Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, and Xueqi Cheng. Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method
