4 papers
Large Reasoning Embedding Models: Towards Next-Generation Dense Retrieval Paradigm
Jianting Tang, Dongshuai Li, Tao Wen +3
In modern e-commerce search systems, dense retrieval has become an indispensable component. By computing similarities between query and item (product) embeddings, it efficiently se…
CROP: Integrating Topological and Spatial Structures via Cross-View Prefixes for Molecular LLMs
Jianting Tang, Yubo Wang, Haoyu Cao +1
Recent advances in molecular science have been propelled significantly by large language models (LLMs). However, their effectiveness is limited when relying solely on molecular seq…
BASIC: Boosting Visual Alignment with Intrinsic Refined Embeddings in Multimodal Large Language Models
Jianting Tang, Yubo Wang, Haoyu Cao +1
Mainstream Multimodal Large Language Models (MLLMs) achieve visual understanding by using a vision projector to bridge well-pretrained vision encoders and large language models (LL…
Tracking the Copyright of Large Vision-Language Models through Parameter Learning Adversarial Images
Yubo Wang, Jianting Tang, Chaohu Liu +1
Large vision-language models (LVLMs) have demonstrated remarkable image understanding and dialogue capabilities, allowing them to handle a variety of visual question answering task…