Summary of Mrag-bench: Vision-centric Evaluation For Retrieval-augmented Multimodal Models, by Wenbo Hu et al.
MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Modelsby Wenbo Hu, Jia-Chen Gu, Zi-Yi Dou, Mohsen Fayyaz,…
MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Modelsby Wenbo Hu, Jia-Chen Gu, Zi-Yi Dou, Mohsen Fayyaz,…
KRAG Framework for Enhancing LLMs in the Legal Domainby Nguyen Ha Thanh, Ken SatohFirst submitted…
Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generationby Bolei He, Nuo Chen,…
MindScope: Exploring cognitive biases in large language models through Multi-Agent Systemsby Zhentao Xie, Jiabao Zhao,…
Driving with Regulation: Interpretable Decision-Making for Autonomous Vehicles with Retrieval-Augmented Reasoning via LLMby Tianhui Cai,…
Thematic Analysis with Open-Source Generative AI and Machine Learning: A New Method for Inductive Qualitative…
Intrinsic Evaluation of RAG Systems for Deep-Logic Questionsby Junyi Hu, You Zhou, Jie WangFirst submitted…
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorizationby Ryan C. Barron, Ves…
How Much Can RAG Help the Reasoning of LLM?by Jingyu Liu, Jiaen Lin, Yong LiuFirst…
IoT-LLM: Enhancing Real-World IoT Task Reasoning with Large Language Modelsby Tuo An, Yunjiao Zhou, Han…