activity
20232025
most citedEvaluation of Retrieval-Augmented Generation: A Survey

144 citations · 157 across the 9 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.AI2024

Stepwise Reasoning Error Disruption Attack of LLMs

Jingyu Peng, Maolin Wang, Xiangyu Zhao +6

Large language models (LLMs) have made remarkable strides in complex reasoning tasks, but their safety and robustness in reasoning processes remain underexplored. Existing attacks…

q-bio.BM2024★ 2 cited

DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking

Jiaxian Yan, Zaixi Zhang, Jintao Zhu +3

Molecular docking, a technique for predicting ligand binding poses, is crucial in structure-based drug design for understanding protein-ligand interactions. Recent advancements in…

cs.SE2024

RePair: Automated Program Repair with Process-based Feedback

Yuze Zhao, Zhenya Huang, Yixiao Ma +6

The gap between the trepidation of program reliability and the expense of repairs underscores the indispensability of Automated Program Repair (APR). APR is instrumental in transfo…

cs.LG2024★ 1 cited

Towards Few-shot Self-explaining Graph Neural Networks

Jingyu Peng, Qi Liu, Linan Yue +3

Recent advancements in Graph Neural Networks (GNNs) have spurred an upsurge of research dedicated to enhancing the explainability of GNNs, particularly in critical domains such as…

cs.CL2024★ 144 cited

Evaluation of Retrieval-Augmented Generation: A Survey

Hao Yu, Aoran Gan, Kai Zhang +3

Retrieval-Augmented Generation (RAG) has recently gained traction in natural language processing. Numerous studies and real-world applications are leveraging its ability to enhance…