Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges

26 June 2024

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Papers citing "Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges"

26 / 26 papers shown

Title
The Use of Multimodal Large Language Models to Detect Objects from Thermal Images: Transportation Applications Huthaifa I. Ashqar Taqwa I. Alhadidi Mohammed Elhenawy Nour O. Khanfar 62 4 0 20 Jun 2024
Using Multimodal Large Language Models for Automated Detection of Traffic Safety Critical Events M. Tami Huthaifa I. Ashqar Mohammed Elhenawy 73 4 0 19 Jun 2024
Object Detection using Oriented Window Learning Vi-sion Transformer: Roadway Assets Recognition Taqwa I. Alhadidi Ahmed Jaber Shadi Jaradat Huthaifa I. Ashqar Mohammed Elhenawy 54 6 0 15 Jun 2024
Exploring Traffic Crash Narratives in Jordan Using Text Mining Analytics Shadi Jaradat Taqwa I. Alhadidi Huthaifa I. Ashqar Ahmed Hossain Mohammed Elhenawy 22 6 0 11 Jun 2024
Eyeballing Combinatorial Problems: A Case Study of Using Multimodal Large Language Models to Solve Traveling Salesman Problems Mohammed Elhenawy Ahmed Abdelhay Taqwa I. Alhadidi Huthaifa I. Ashqar Shadi Jaradat Ahmed Jaber Sébastien Glaser A. Rakotonirainy 60 4 0 11 Jun 2024
Exploring Combinatorial Problem Solving with Large Language Models: A Case Study on the Travelling Salesman Problem Using GPT-3.5 Turbo Mahmoud Masoud Ahmed Abdelhay Mohammed Elhenawy LRM 13 3 0 03 May 2024
How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problems Yuxiao Huang Wenjie Zhang Liang Feng Xingyu Wu Kay Chen Tan 64 11 0 04 Mar 2024
Multimodal Large Language Models: A Survey Jiayang Wu Wensheng Gan Zefeng Chen Shicheng Wan Philip S. Yu 83 187 0 22 Nov 2023
Large Language Models as Evolutionary Optimizers Shengcai Liu Caishun Chen Xinghua Qu Jiaheng Zhang Yew-Soon Ong 68 105 0 29 Oct 2023
Large Language Models Michael R Douglas LLMAG LM&MA 138 628 0 11 Jul 2023
Boosted Prompt Ensembles for Large Language Models Silviu Pitis Michael Ruogu Zhang Andrew Wang Jimmy Ba LRM LLMAG 49 42 0 12 Apr 2023
Automatic Chain of Thought Prompting in Large Language Models Zhuosheng Zhang Aston Zhang Mu Li Alexander J. Smola ReLM LRM 148 621 0 07 Oct 2022
Reinforced Lin-Kernighan-Helsgaun Algorithms for the Traveling Salesman Problems Jiongzhi Zheng Kun He Jianrong Zhou Yan Jin ChuMin Li 39 33 0 08 Jul 2022
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 513 4,077 0 24 May 2022
Collaborative Intelligent Reflecting Surface Networks with Multi-Agent Reinforcement Learning Jie M. Zhang Jun Li Yijin Zhang Qing-He Wu Xiongwei Wu Feng Shu Shi Jin Wen Chen 20 20 0 26 Mar 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 519 3,646 0 21 Mar 2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? Sewon Min Xinxi Lyu Ari Holtzman Mikel Artetxe M. Lewis Hannaneh Hajishirzi Luke Zettlemoyer LLMAG LRM 163 1,485 0 25 Feb 2022
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 817 9,576 0 28 Jan 2022
Learning Distilled Collaboration Graph for Multi-Agent Perception Yiming Li Shunli Ren Pengxiang Wu Siheng Chen Chen Feng Wenjun Zhang 88 242 0 01 Nov 2021
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem Benjamin H. Hudson Qingbiao Li Matthew Malencia Amanda Prorok 74 69 0 11 Oct 2021
A Comprehensive Survey on the Multiple Travelling Salesman Problem: Applications, Approaches and Taxonomy O. Cheikhrouhou I. Khoufi 42 234 0 25 Feb 2021
Learning the Travelling Salesperson Problem Requires Rethinking Generalization Chaitanya K. Joshi Quentin Cappart Louis-Martin Rousseau T. Laurent 183 119 0 12 Jun 2020
Language Models are Few-Shot Learners Tom B. Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared Kaplan ... Christopher Berner Sam McCandlish Alec Radford Ilya Sutskever Dario Amodei BDL 808 42,055 0 28 May 2020
Generalization of Machine Learning for Problem Reduction: A Case Study on Travelling Salesman Problems Yuan Sun Andreas T. Ernst Xiaodong Li J. Weiner 50 38 0 12 May 2020
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach Kecheng Zhang Meng Li Zhengchao Zhang Xi Lin Fang He 143 145 0 13 Feb 2020
Random-Key Cuckoo Search for the Travelling Salesman Problem Aziz Ouaarab Belaïd Ahiod Xin-She Yang 38 65 0 14 Apr 2016