ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2404.04264
  4. Cited By
Logic Query of Thoughts: Guiding Large Language Models to Answer Complex
  Logic Queries with Knowledge Graphs

Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs

17 March 2024
Lihui Liu
Zihao Wang
Ruizhong Qiu
Yikun Ban
Eunice Chan
Yangqiu Song
Jingrui He
Hanghang Tong
    LRM
ArXivPDFHTML

Papers citing "Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs"

11 / 11 papers shown
Title
How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark
How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark
Ruizhong Qiu
Weiliang Will Zeng
Hanghang Tong
James Ezick
Christopher Lott
147
20
0
20 Feb 2025
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization
Ruizhong Qiu
Hanghang Tong
75
5
0
27 May 2024
Conversational Question Answering with Reformulations over Knowledge
  Graph
Conversational Question Answering with Reformulations over Knowledge Graph
Lihui Liu
Blaine Hill
Boxin Du
Fei Wang
Hanghang Tong
44
5
0
27 Dec 2023
Graph of Thoughts: Solving Elaborate Problems with Large Language Models
Graph of Thoughts: Solving Elaborate Problems with Large Language Models
Maciej Besta
Nils Blach
Aleš Kubíček
Robert Gerstenberger
Michal Podstawski
...
Joanna Gajda
Tomasz Lehmann
H. Niewiadomski
Piotr Nyczyk
Torsten Hoefler
LRM
AI4CE
LM&Ro
131
671
0
18 Aug 2023
Answering Complex Logical Queries on Knowledge Graphs via Query
  Computation Tree Optimization
Answering Complex Logical Queries on Knowledge Graphs via Query Computation Tree Optimization
Yushi Bai
Xin Lv
Juanzi Li
Lei Hou
53
32
0
19 Dec 2022
Selection-Inference: Exploiting Large Language Models for Interpretable
  Logical Reasoning
Selection-Inference: Exploiting Large Language Models for Interpretable Logical Reasoning
Antonia Creswell
Murray Shanahan
I. Higgins
ReLM
LRM
101
362
0
19 May 2022
Neural-Symbolic Models for Logical Queries on Knowledge Graphs
Neural-Symbolic Models for Logical Queries on Knowledge Graphs
Zhaocheng Zhu
Mikhail Galkin
Zuobai Zhang
Jian Tang
NAI
36
80
0
16 May 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
814
9,387
0
28 Jan 2022
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs
Hongyu Ren
J. Leskovec
BDL
78
209
0
22 Oct 2020
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
571
2,670
0
03 Sep 2019
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
558
27,311
0
01 Sep 2014
1