5 papers
LLM-based Listwise Reranking under the Effect of Positional Bias
Jingfen Qiao, Jin Huang, Xinyu Ma +4
LLM-based listwise passage reranking has attracted attention for its effectiveness in ranking candidate passages. However, these models suffer from positional bias, where passages…
Reproducibility, Replicability, and Insights into Visual Document Retrieval with Late Interaction
Jingfen Qiao, Jia-Huei Ju, Xinyu Ma +2
Visual Document Retrieval (VDR) is an emerging research area that focuses on encoding and retrieving document images directly, bypassing the dependence on Optical Character Recogni…
Leveraging Decoder Architectures for Learned Sparse Retrieval
Jingfen Qiao, Thong Nguyen, Evangelos Kanoulas +1
Learned Sparse Retrieval (LSR) has traditionally focused on small-scale encoder-only transformer architectures. With the advent of large-scale pre-trained language models, their ca…
Constructing Set-Compositional and Negated Representations for First-Stage Ranking
Antonios Minas Krasakis, Andrew Yates, Evangelos Kanoulas
Set compositional and negated queries are crucial for expressing complex information needs and enable the discovery of niche items like Books about non-European monarchs. Despite t…
Table Question Answering for Low-resourced Indic Languages
Vaishali Pal, Evangelos Kanoulas, Andrew Yates +1
TableQA is the task of answering questions over tables of structured information, returning individual cells or tables as output. TableQA research has focused primarily on high-res…