Papers
309 papers found
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems
Jon Saad-Falcon, Omar Khattab, Christopher Potts et al.
Unveiling the Magic: Investigating Attention Distillation in Retrieval-Augmented Generation
Zizhong Li, Haopeng Zhang, Jiawei Zhang
Reducing hallucination in structured outputs via Retrieval-Augmented Generation
Orlando Ayala, Patrice Bechard
OUNLP at SemEval-2024 Task 9: Retrieval-Augmented Generation for Solving Brain Teasers with LLMs
Vineet Saravanan, Steven Wilson
MIRAGE-Bench: Automatic Multilingual Benchmark Arena for Retrieval-Augmented Generation Systems
Nandan Thakur, Suleman Kazi, Ge Luo et al.
Pointwise Mutual Information as a Performance Gauge for Retrieval-Augmented Generation
Tianyu Liu, Jirui Qi, Paul He et al.
Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective
Shenglai Zeng, Jiankun Zhang, Bingheng Li et al.
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation
Satyapriya Krishna, Kalpesh Krishna, Anhad Mohananey et al.
RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models
Bang An, Shiyue Zhang, Mark Dredze
VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation
Manan Suri, Puneet Mathur, Franck Dernoncourt et al.
Eliciting Critical Reasoning in Retrieval-Augmented Generation via Contrastive Explanations
Leonardo Ranaldi, Marco Valentino, Andre Freitas
SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains
Ran Xu, Hui Liu, Sreyashi Nag et al.
CoRAG: Collaborative Retrieval-Augmented Generation
Aashiq Muhamed, Mona T. Diab, Virginia Smith
CORD: Balancing COnsistency and Rank Distillation for Robust Retrieval-Augmented Generation
Youngwon Lee, Seung-won Hwang, Daniel F Campos et al.
DSRAG: A Double-Stream Retrieval-Augmented Generation Framework for Countless Intent Detection
Pei Guo, Enjie Liu, Ruichao Zhong et al.
Towards Reliable Agents: Benchmarking Customized LLM-Based Retrieval-Augmented Generation Frameworks with Deployment Validation
Kevin Shukang Wang, Karel Joshua Harjono, Ramon Lawrence
HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications
Rishi Kalra, Zekun Wu, Ayesha Gulley et al.
Adaptive Retrieval-Augmented Generation for Conversational Systems
Xi Wang, Procheta Sen, Ruizhe Li et al.
Large-Scale Corpus Construction and Retrieval-Augmented Generation for Ancient Chinese Poetry: New Method and Data Insights
Yang Liu, Lan Lan, Jiahuan Cao et al.
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmented Generation
Yiruo Cheng, Kelong Mao, Ziliang Zhao et al.
Learning to Explore and Select for Coverage-Conditioned Retrieval-Augmented Generation
Takyoung Kim, Kyungjae Lee, Young Rok Jang et al.
Evaluating Self-Generated Documents for Enhancing Retrieval-Augmented Generation with Large Language Models
Jiatao Li, Xinyu Hu, Xunjian Yin et al.
MIRAGE: A Metric-Intensive Benchmark for Retrieval-Augmented Generation Evaluation
Chanhee Park, Hyeonseok Moon, Chanjun Park et al.
GRAG: Graph Retrieval-Augmented Generation
Yuntong Hu, Zhihan Lei, Zheng Zhang et al.