The following four papers co-authored by IRLab-ers have been accepted for publication at The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP):

1. Arian Askari, Mohammad Aliannejadi, Chuan Meng, Evangelos Kanoulas, and Suzan Verberne. Expand, Highlight, Generate: RL-driven Document Generation for Passage Reranking. In EMNLP 2023.

2. Xinyi Chen, Raquel Fernández, and Sandro Pezzelle. The BLA Benchmark: Investigating Basic Language Abilities of Pre-Trained Multimodal Models. In EMNLP 2023.

3. Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, and Xueqi Cheng. From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification. In the Findings of EMNLP 2023.

4. Zihan Wang, Ziqi Zhao, Zhumin Chen, Pengjie Ren, Maarten de Rijke, and Zhaochun Ren. Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features. In the Findings of EMNLP 2023.