Fetching the paper…
Reading the bibliography…
Travel planning stands out among real-world applications of \emph{Language Agents} because it couples significant practical demand with a rigorous constraint-satisfaction challenge.
The language of thought
Jerry Fodor · 1975
Earlier work this paper cites.
Zipf’s law and the internet
Lada A Adamic and Bernardo A Huberman · 2002
Earlier work this paper cites.
Deep blue
Murray Campbell, A Joseph Hoane Jr, and Feng-hsiung Hsu · 2002
Earlier work this paper cites.
LOT 2: The language of thought revisited
Jerry A Fodor · 2008
Earlier work this paper cites.
Playing Atari with deep reinforcement learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver, Alex Graves, Ioannis Antonoglou, Daan Wierstra, and Martin A. Riedmiller · 2013
Earlier work this paper cites.
The logical primitives of thought: Empirical foundations for compositional cognitive models
Steven T Piantadosi, Joshua B Tenenbaum, and Noah D Goodman · 2016
Earlier work this paper cites.
An intelligent behaviour shown by chatbot system
Vibhor Sharma, Monika Goyal, and Drishti Malik · 2017
Earlier work this paper cites.
Mastering the game of Go without human knowledge
David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, Yutian Chen, Timothy P. Lillicrap, Fan Hui, Laurent Sifre, George van den Driessche, Thore Graepel, and Demis Hassabis · 2017
Earlier work this paper cites.
Deepproblog: Neural probabilistic logic programming
Robin Manhaeve, Sebastijan Dumancic, Angelika Kimmig, Thomas Demeester, and Luc De Raedt · 2018
Earlier work this paper cites.
Bridging machine learning and logical reasoning by abductive learning
Wang-Zhou Dai, Qiu-Ling Xu, Yang Yu, and Zhi-Hua Zhou · 2019
Earlier work this paper cites.
Compositional generalization through meta sequence-to-sequence learning
Brenden M Lake · 2019
Earlier work this paper cites.
SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver
Po-Wei Wang, Priya L. Donti, Bryan Wilder, and J. Zico Kolter · 2019
Earlier work this paper cites.
Learning to recombine and resample data for compositional generalization
Ekin Akyürek, Afra Feyza Akyürek, and Jacob Andreas · 2020
Earlier work this paper cites.
Compositional generalization by learning analytical expressions
Qian Liu, Shengnan An, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, and Dongmei Zhang · 2020
Earlier work this paper cites.
Miplib 2017: data-driven compilation of the 6th mixed-integer programming library
Ambros Gleixner, Gregor Hendel, Gerald Gamrath, Tobias Achterberg, Michael Bastubbe, Timo Berthold, Philipp Christophel, Kati Jarck, Thorsten Koch, Jeff Linderoth, et al · 2021
Cited alongside, same era.
Visual programming: Compositional visual reasoning without training
Tanmay Gupta and Aniruddha Kembhavi · 2023
Cited alongside, same era.
Logic-LM: Empowering large language models with symbolic solvers for faithful logical reasoning
Liangming Pan, Alon Albalak, Xinyi Wang, and William Yang Wang · 2023
Cited alongside, same era.
The rise and potential of large language model based agents: A survey
Zhiheng Xi, Wenxiang Chen, Xin Guo, Wei He, Yiwen Ding, Boyang Hong, Ming Zhang, Junzhe Wang, Senjie Jin, Enyu Zhou, Rui Zheng, Xiaoran Fan, Xiao Wang, Limao Xiong, Yuhao Zhou, Weiran Wang, Changhao Jiang, Yicheng Zou, Xiangyang Liu, Zhangyue Yin, Shihan Dou, Rongxiang Weng, Wensen Cheng, Qi Zhang, Wenjuan Qin, Yongyan Zheng, Xipeng Qiu, Xuanjing Huang, and Tao Gui · 2023
Cited alongside, same era.
Tree of thoughts: Deliberate problem solving with large language models
Learning planning abstractions from language
Weiyu Liu, Geng Chen, Joy Hsu, Jiayuan Mao, and Jiajun Wu · 2024
Closest in time.
Reflexion: language agents with verbal reinforcement learning
Noah Shinn, Federico Cassano, Ashwin Gopinath, Karthik Narasimhan, and Shunyu Yao · 2024
Closest in time.
Synergizing spatial optimization with large language models for open-domain urban itinerary planning
Yihong Tang, Zhaokai Wang, Ao Qu, Yihao Yan, Kebing Hou, Dingyi Zhuang, Xiaotong Guo, Jinhua Zhao, Zhan Zhao, and Wei Ma · 2024
Closest in time.
Travelplanner: A benchmark for real-world planning with language agents
Jian Xie, Kai Zhang, Jiangjie Chen, Tinghui Zhu, Renze Lou, Yuandong Tian, Yanghua Xiao, and Yu Su · 2024
Closest in time.
Exploring compositional generalization of large language models
Haoran Yang, Hongyuan Lu, Wai Lam, and Deng Cai · 2024
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Tom Griffiths, Yuan Cao, and Karthik Narasimhan · 2023
Cited alongside, same era.
Huatuogpt, towards taming language model to be a doctor
Hongbo Zhang, Junying Chen, Feng Jiang, Fei Yu, Zhihong Chen, Guiming Chen, Jianquan Li, Xiangbo Wu, Zhiyi Zhang, Qingying Xiao, Xiang Wan, Benyou Wang, and Haizhou Li · 2023
Cited alongside, same era.
TravelAgent: An AI assistant for personalized travel planning
Aili Chen, Xuyang Ge, Ziquan Fu, Yanghua Xiao, and Jiangjie Chen · 2024
Cited alongside, same era.
Enhancing and evaluating logical reasoning abilities of large language models
Shujie Deng, Honghua Dong, and Xujie Si · 2024
Cited alongside, same era.
Robust planning with llm-modulo framework: Case study in travel planning
Atharva Gundawar, Mudit Verma, Lin Guan, Karthik Valmeekam, Siddhant Bhambri, and Subbarao Kambhampati · 2024
Cited alongside, same era.
A survey on personalized itinerary recommendation: From optimisation to deep learning
Sajal Halder, Kwan Hui Lim, Jeffrey Chan, and Xiuzhen Zhang · 2024
Cited alongside, same era.
Swe-bench: Can language models resolve real-world github issues?
Carlos E. Jimenez, John Yang, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, and Karthik R. Narasimhan · 2024
Cited alongside, same era.
To the globe (ttg): Towards language-driven guaranteed travel planning
Da Ju, Song Jiang, Andrew Cohen, Aaron Foss, Sasha Mitts, Arman Zharmagambetov, Brandon Amos, Xian Li, Justine Kao, Maryam Fazel-Zarandi, et al · 2024
Cited alongside, same era.
Huaixiu Steven Zheng, Swaroop Mishra, Hugh Zhang, Xinyun Chen, Minmin Chen, Azade Nova, Le Hou, Heng-Tze Cheng, Quoc V Le, Ed H Chi, et al · 2024
Closest in time.
Sets: Leveraging self-verification and self-correction for improved test-time scaling
Jiefeng Chen, Jie Ren, Xinyun Chen, Chengrun Yang, Ruoxi Sun, Jinsung Yoon, and Sercan Ö Arık · 2025
Closest in time.
Atlas: Constraints-aware multi-agent collaboration for real-world travel planning
Jihye Choi, Jinsung Yoon, Jiefeng Chen, Somesh Jha, and Tomas Pfister · 2025
Closest in time.
Large language models can solve real-world planning rigorously with formal verification tools
Yilun Hao, Yongchao Chen, Yang Zhang, and Chuchu Fan · 2025
Closest in time.
Compact: Compositional atomic-to-complex visual capability tuning
Xindi Wu, Hee Seung Hwang, Polina Kirichenko, and Olga Russakovsky · 2025
Closest in time.
Deliberate reasoning in language models as structure-aware planning with an accurate world model
Siheng Xiong, Ali Payani, Yuan Yang, and Faramarz Fekri · 2025
Closest in time.
Longproc: Benchmarking long-context language models on long procedural generation
Xi Ye, Fangcong Yin, Yinghui He, Joie Zhang, Howard Yen, Tianyu Gao, Greg Durrett, and Danqi Chen · 2025
Closest in time.
Enhancing language model reasoning with structured multi-level modeling
Siheng Xiong, Ali Payani, and Faramarz Fekri · 2026
Closest in time.