20 papers
Learning to Look Again: Loss-Gap Supervision for Free-form Crop Routing in Vision-Language Models
Jinchang Zhu, Rong Fu, Yi Ding +3
Vision-language models (VLMs) fail many detail-centric questions for a concrete reason: the answer is visible in the image, yet lost after the image is compressed into a low-resolu…
FCPRAG: Fusion-Controller Parametric Retrieval-Augmented Generation for Stable Multi-Passage LoRA Injection
Jinchang Zhu, Jindong Li, Yi Ding +5
Parametric retrieval-augmented generation (PRAG) injects retrieved evidence into a large language model (LLM) through passage-specific LoRA adapters, reducing reliance on long in-c…
Sci-Surf: Navigating Scientific Literature Discovery through Human Feedback and Intelligent Summarization
Fang Guo, Qi Zhu, Rongcan Pei +3
The rapid growth of scientific publications makes it increasingly difficult for researchers to identify relevant new studies and effectively comprehend them. Existing academic disc…
StorySpark: Module-wise Evolutionary Search for Story Premise Generation
Yang Yang, Zining Zhong, Qian Cao +5
A story premise is the creative spark from which a full narrative can grow. Yet LLM-based story generation has mostly emphasized later-stage planning, controllability, coherence, a…
Continuous Knowledge Metabolism: Generating Scientific Hypotheses from Evolving Literature
Jinkai Tao, Yubo Wang, Xiaoyu Liu +1
Identifying promising research directions in fast-moving subareas is one of the most cognitively expensive tasks in modern AI research. Existing LLM-driven scientific discovery sys…
AL-GNN: Privacy-Preserving and Replay-Free Continual Graph Learning via Analytic Learning
Xuling Zhang, Jindong Li, Yifei Zhang +2
Continual graph learning (CGL) aims to enable graph neural networks to incrementally learn from a stream of graph structured data without forgetting previously acquired knowledge.…