2 papers
cs.IR2025
Rethinking LLM Parametric Knowledge as Post-retrieval Confidence for Dynamic Retrieval and Reranking
Haoxiang Jin, Ronghan Li, Zixiang Lu +1
Large Language Models (LLMs) often generate inaccurate responses (hallucinations) when faced with questions beyond their knowledge scope. Retrieval-Augmented Generation (RAG) addre…
cs.CV2025
SGAD: Semantic and Geometric-aware Descriptor for Local Feature Matching
Xiangzeng Liu, Chi Wang, Guanglu Shi +3
Local feature matching remains a fundamental challenge in computer vision. Recent Area to Point Matching (A2PM) methods have improved matching accuracy. However, existing research…