1 citations · 1 across the 11 of their papers we have counts for
13 papers
Beyond Relevance: Structured Semantic Supervision for Product Search with LLM-Augmented Annotations
Girish A. Koushik, Swapnil Bhosale, Samarth Agrawal +4
E-commerce search requires distinguishing products that are merely related to a query from those that directly satisfy the user's shopping intent. We augment query-product pairs wi…
MeshSplatBench: A Unified Benchmark for Triangle-Based Neural Rendering
Kaixuan Zhang, Minxian Li, Mingwu Ren +1
Triangle-based neural rendering bridges neural scene representations and conventional graphics pipelines by optimizing explicit geometric primitives compatible with standard raster…
Free-Text Evaluation of LLMs for 5G Domain Knowledge and Fault Analysis using LLM-as-Judge
Rishiraj Sengupta, Sotiris Chatzimiltis, Mohammad Shojafar +1
Real-world fault analysis in 5G and emerging 6G networks demands domain expertise to analyze free-text diagnostics, including root-cause explanations and recommended actions. LLMs…
MERGETUNE: Continued Fine-Tuning of Vision-Language Models
Wenqing Wang, Da Li, Xiatian Zhu +1
Fine-tuning vision-language models (VLMs) such as CLIP often leads to catastrophic forgetting of pretrained knowledge. Prior work primarily aims to mitigate forgetting during adapt…
RAID: Retrieval-Augmented Anomaly Detection
Mingxiu Cai, Zhe Zhang, Gaochang Wu +2
Unsupervised Anomaly Detection (UAD) aims to identify abnormal regions by establishing correspondences between test images and normal templates. Existing methods primarily rely on…
Edge-ANN: Storage-Efficient Edge-Based Remote Sensing Feature Retrieval
Xianwei Lv, Debin Tang, Zhecheng Shi +3
Meeting real-time constraints for high-performance Approximate Nearest Neighbor (ANN) search remains a critical challenge in remote sensing edge devices, which are essentially fusi…