1 citations · 2 across the 6 of their papers we have counts for
6 papers
CAS: Conformalized Agentic Search via Adaptive Retrieval and Policy Weighting
Zixi Zhu, Jiayuan Su, Jian Zhang +2
Search Agents face a severe reliability crisis during reinforcement learning (RL) fine-tuning. Heuristic Top-K retrieval often causes critical evidence loss or noise inclusion, whi…
TEAMMix: Taxonomy Enrichment Augmentation and Minority-augmented Mixing Strategy for LLM-enhanced Weak-Supervised Hierarchical Text Classification
Jian Zhang, Zhuohao Yang, Songlin Lei +6
Hierarchical Text Classification (HTC), as a critical text mining task, faces challenges such as complex label hierarchies and class imbalance. Existing methods based on large lang…
Self-Knowledge Retrieval Augmented Generation Framework for Patent Matching
Jian Zhang, Songlin Lei, Zhuohao Yang +6
Patent retrieval and matching based on large language models (LLMs) play a vital role in intellectual property protection. However, due to the complex structure of patent documents…
RDG-GS: Relative Depth Guidance with Gaussian Splatting for Real-time Sparse-View 3D Rendering
Chenlu Zhan, Yufei Zhang, Yu Lin +2
Efficiently synthesizing novel views from sparse inputs while maintaining accuracy remains a critical challenge in 3D reconstruction. While advanced techniques like radiance fields…
MedM2G: Unifying Medical Multi-Modal Generation via Cross-Guided Diffusion with Visual Invariant
Chenlu Zhan, Yu Lin, Gaoang Wang +2
Medical generative models, acknowledged for their high-quality sample generation ability, have accelerated the fast growth of medical applications. However, recent works concentrat…
UniDCP: Unifying Multiple Medical Vision-language Tasks via Dynamic Cross-modal Learnable Prompts
Chenlu Zhan, Yufei Zhang, Yu Lin +2
Medical vision-language pre-training (Med-VLP) models have recently accelerated the fast-growing medical diagnostics application. However, most Med-VLP models learn task-specific r…