document ranking 1generative models 1legal information retrieval 1multi-task learning 1statute retrieval 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.IR2026
Structure-aware Relative Policy Optimization for Ranking
Yiteng Tu, Weihang Su, Zitao Su +3
Ranking is a fundamental component of modern information access systems. Reinforcement learning (RL) provides a flexible framework for directly optimizing coarse-grained feedback a…
cs.IR2026
Generative Chinese Statute Retrieval
Yiteng Tu, Zitao Su, Weihang Su +5
The paper introduces GCSR, a generative framework that treats Chinese statute retrieval as a sequence generation task and embeds hierarchical legal knowledge into the model to impr…
cs.IR2025
Generalized Pseudo-Relevance Feedback
Yiteng Tu, Weihang Su, Yujia Zhou +4
Query rewriting is a fundamental technique in information retrieval (IR). It typically employs the retrieval result as relevance feedback to refine the query and thereby addresses…