Summary of Pa-rag: Rag Alignment Via Multi-perspective Preference Optimization, by Jiayi Wu et al.
PA-RAG: RAG Alignment via Multi-Perspective Preference Optimizationby Jiayi Wu, Hengyi Cai, Lingyong Yan, Hao Sun,…
Summary of Federated Learning and Rag Integration: a Scalable Approach For Medical Large Language Models, by Jincheol Jung et al.
Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Modelsby Jincheol Jung,…
Summary of Rag-rewardbench: Benchmarking Reward Models in Retrieval Augmented Generation For Preference Alignment, by Zhuoran Jin et al.
RAG-RewardBench: Benchmarking Reward Models in Retrieval Augmented Generation for Preference Alignmentby Zhuoran Jin, Hongbang Yuan,…
Summary of What External Knowledge Is Preferred by Llms? Characterizing and Exploring Chain Of Evidence in Imperfect Context, By Zhiyuan Chang et al.
What External Knowledge is Preferred by LLMs? Characterizing and Exploring Chain of Evidence in Imperfect…
Summary of Rag-star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinement, by Jinhao Jiang et al.
RAG-Star: Enhancing Deliberative Reasoning with Retrieval Augmented Verification and Refinementby Jinhao Jiang, Jiayi Chen, Junyi…
Summary of Exit: Context-aware Extractive Compression For Enhancing Retrieval-augmented Generation, by Taeho Hwang et al.
EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generationby Taeho Hwang, Sukmin Cho, Soyeong Jeong, Hoyun…
Summary of Agentic Ai-driven Technical Troubleshooting For Enterprise Systems: a Novel Weighted Retrieval-augmented Generation Paradigm, by Rajat Khanda
Agentic AI-Driven Technical Troubleshooting for Enterprise Systems: A Novel Weighted Retrieval-Augmented Generation Paradigmby Rajat KhandaFirst…
Summary of Bioragent: a Retrieval-augmented Generation System For Showcasing Generative Query Expansion and Domain-specific Search For Scientific Q&a, by Samy Ateia et al.
BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific…
Summary of Retrollm: Empowering Large Language Models to Retrieve Fine-grained Evidence Within Generation, by Xiaoxi Li et al.
RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generationby Xiaoxi Li, Jiajie Jin,…
Summary of Attention with Dependency Parsing Augmentation For Fine-grained Attribution, by Qiang Ding et al.
Attention with Dependency Parsing Augmentation for Fine-Grained Attributionby Qiang Ding, Lvzhou Luo, Yixuan Cao, Ping…