54 papers
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…
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…
RWGBench: Evaluating Scholarly Positioning in Related Work Generation
Anzhe Xie, Weihang Su, Jiaxin Mao +4
Large language models have shown strong fluency in scientific writing, yet the evaluation of related work generation (RWG) remains limited. Existing RWG evaluations largely inherit…
MetaSyn: A Benchmark for LLM Agents on Meta-Analysis Articles from Nature Portfolio
Anzhe Xie, Weihang Su, Yujia Zhou +3
Systematic review and meta-analysis is an important method for scientific research. It comprehensively studies target research questions by combining evidence from multiple indepen…
Improve Large Language Model Systems with User Logs
Changyue Wang, Weihang Su, Qingyao Ai +4
Scaling training data and model parameters has long driven progress in large language models (LLMs), but this paradigm is increasingly constrained by the scarcity of high-quality d…
Retrievable Gradients: Continual Post-Training Without Cumulative Weight Drift
Weihang Su, Jiacheng Kang, Jingyan Xu +7
Continual post-training enables models to absorb emerging knowledge after deployment, but repeatedly updating shared parameters can accumulate weight drift, potentially causing cat…