11 papers
From Fragments to Paths: Task-Level Context Recovery for Large Industrial Codebases
Jiawei He, Weisong Sun, Mengyu Shi +4
Large language models have shown strong performance on software engineering (SE) tasks, yet understanding large industrial repositories remains challenging. Existing methods often…
SSDAU: Structured Semantic Data Augmentation for Joint Entity and Relation Extraction
Jiawei He, Mengyu Shi, Jiawei Liu +6
Joint Entity and Relation Extraction (JERE) is highly sensitive to training data quality, making data augmentation a natural way to improve generalization. However, existing augmen…
ProcCtrlBench: Evaluating Process-Level Defects and Control Preservation in LLM Coding Agents
Jiawei He, Jie Jia, Chenbo Liu +4
Existing benchmarks for LLM coding agents primarily evaluate final outcomes. While useful for measuring overall capability, these metrics provide limited visibility and often miss…
SurgLQA: Scalable Long-Horizon Surgical Video Question Answering
Diandian Guo, Xikai Yang, Ruiyang Li +2
Surgical Video Question Answering (VideoQA) provides a promising paradigm for dynamic intraoperative interpretation, enabling real-time decision support and context-aware retrieval…
Med-Evo: Test-time Self-evolution for Medical Multimodal Large Language Models
Dunyuan Xu, Xikai Yang, Juzheng Miao +3
Medical Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities across diverse healthcare tasks. However, current post-training strategies, such as super…
CaliCausalRank: Calibrated Multi-Objective Ad Ranking with Robust Counterfactual Utility Optimization
Xikai Yang, Sebastian Sun, Yilin Li +3
Ad ranking systems must simultaneously optimize multiple objectives including click-through rate (CTR), conversion rate (CVR), revenue, and user experience metrics. However, produc…