collaborators

5 papers

cs.CV2026

ZoomCap: Evidence-Routed Visual Zooming for Recoverable Visual Information Transfer

Hao Shi, Jiafeng Wang, Yuzhuo Fu +5

Detailed captions transfer visual information into vision-language model supervision, but quality is easily conflated with length: long single-pass outputs still miss small objects…

cs.LG2026

GraphFAS: A Distributed System for Automated Graph Feature Generation and Selection in Industrial Transaction Networks

Yice Luo, Yun Zhu, Xi Chen +7

Industrial fraud detection often relies on costly expert-crafted features that overlook graph-structured relational signals, while GNNs often do not meet the interpretability and d…

cs.CL2026

GTA-RAG: Graph-Trajectory-Augmented Reinforcement Learning for Multi-Turn Retrieval-Augmented Reasoning

Jun Chen, Yongchao Liu, Pengyu Qiu +6

Retrieval-augmented generation (RAG) enables LLMs to access external knowledge for answering knowledge-intensive questions. For complex multi-hop questions, multi-turn retrieval-au…

cs.DC2026

Bole: Efficient Tree Speculation for Hybrid-Attention Language Models

Li Wang, Yi Su, Xiabao Wu +9

Hybrid-attention large language models combine full attention with recurrent linear attention to reduce long-context inference costs, yet their autoregressive decoding remains memo…

cs.AI2026

Text2GraphQuery-Bench: A Text to Graph Query Benchmark

Songlin Lyu, Lujie Ban, Zihang Wu +12

Graph models are fundamental to data analysis in domains rich with complex relationships. Unlike SQL, which benefits from a rel- atively unified standard and widespread familiarity…