3 papers
cs.IR2025
Dynamic Context Selection for Retrieval-Augmented Generation: Mitigating Distractors and Positional Bias
Malika Iratni, Mohand Boughanem, Taoufiq Dkaki
Retrieval Augmented Generation (RAG) enhances language model performance by incorporating external knowledge retrieved from large corpora, which makes it highly suitable for tasks…
cs.CL2024
Exploring Large Language Models and Hierarchical Frameworks for Classification of Large Unstructured Legal Documents
Nishchal Prasad, Mohand Boughanem, Taoufiq Dkaki
Legal judgment prediction suffers from the problem of long case documents exceeding tens of thousands of words, in general, and having a non-uniform structure. Predicting judgments…
cs.CL2023
Exploring Semi-supervised Hierarchical Stacked Encoder for Legal Judgement Prediction
Nishchal Prasad, Mohand Boughanem, Taoufiq Dkaki
Predicting the judgment of a legal case from its unannotated case facts is a challenging task. The lengthy and non-uniform document structure poses an even greater challenge in ext…