SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning

27 October 2021

Papers citing "SQALER: Scaling Question Answering by Decoupling Multi-Hop and Logical Reasoning"

8 / 8 papers shown

Title
GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning Costas Mavromatis George Karypis RALM LRM ReLM 45 51 0 30 May 2024
Relation-Aware Question Answering for Heterogeneous Knowledge Graphs Haowei Du Quzhe Huang Chen Li Chen Zhang Yang Li Dongyan Zhao 10 2 0 19 Dec 2023
NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA Hyeong Kyu Choi Seunghun Lee Jaewon Chu Hyunwoo J. Kim 8 5 0 24 Oct 2023
Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning Mattia Atzeni Mrinmaya Sachan Andreas Loukas LRM 17 3 0 05 Jun 2023
Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings Mattia Atzeni Mikhail Plekhanov F. Dreyer Nora Kassner Simone Merello Louis Martin Nicola Cancedda 20 0 0 19 May 2023
Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering Over Knowledge Graphs Zile Qiao Wei Ye Tong Zhang Tong Mo Weiping Li Shikun Zhang 17 6 0 02 Sep 2022
A*Net: A Scalable Path-based Reasoning Approach for Knowledge Graphs Zhaocheng Zhu Xinyu Yuan Mikhail Galkin Sophie Xhonneux Ming Zhang Maxime Gazeau Jian Tang GNN LRM 21 34 0 07 Jun 2022
Case-based Reasoning for Better Generalization in Textual Reinforcement Learning Mattia Atzeni S. Dhuliawala K. Murugesan Mrinmaya Sachan OOD OffRL 16 11 0 16 Oct 2021