Fetching the paper…
Reading the bibliography…
Large language models (LLMs) demonstrate great potential for problems with implicit graphical structures, while recent works seek to enhance the graph reasoning capabilities of LLMs through specialized instruction tuning.
A method of matrix analysis of group structure
R Duncan Luce and Albert D Perry. 1949 · 1949
Earlier work this paper cites.
On the evolution of random graphs
Paul Erdős, Alfréd Rényi, et al. 1960 · 1960
Earlier work this paper cites.
Language is all a graph needs
Ruosong Ye, Caiqi Zhang, Runhui Wang, Shuyuan Xu, and Yongfeng Zhang. 2024 · 1973
Earlier work this paper cites.
Social network analysis: Methods and applications
Stanley Wasserman and Katherine Faust. 1994 · 1994
Earlier work this paper cites.
Emergence of scaling in random networks
Albert-László Barabási and Réka Albert. 1999 · 1999
Earlier work this paper cites.
Statsmodels: Econometric and statistical modeling with python
Skipper Seabold and Josef Perktold. 2010 · 2010
Earlier work this paper cites.
Did aristotle use a laptop? a question answering benchmark with implicit reasoning strategies
Mor Geva, Daniel Khashabi, Elad Segal, Tushar Khot, Dan Roth, and Jonathan Berant. 2021 · 2021
Earlier work this paper cites.
Explagraphs: An explanation graph generation task for structured commonsense reasoning
Swarnadeep Saha, Prateek Yadav, Lisa Bauer, and Mohit Bansal. 2021 · 2021
Earlier work this paper cites.
Proscript: Partially ordered scripts generation
Keisuke Sakaguchi, Chandra Bhagavatula, Ronan Le Bras, Niket Tandon, Peter Clark, and Yejin Choi. 2021 · 2021
Earlier work this paper cites.
Language models of code are few-shot commonsense learners
Aman Madaan, Shuyan Zhou, Uri Alon, Yiming Yang, and Graham Neubig. 2022 · 2022
Earlier work this paper cites.
Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. 2022 · 2022
Earlier work this paper cites.
Weak-to-strong generalization: Eliciting strong capabilities with weak supervision
Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, Bowen Baker, Leo Gao, Leopold Aschenbrenner, Yining Chen, Adrien Ecoffet, Manas Joglekar, Jan Leike, et al. 2023 · 2023
Earlier work this paper cites.
Code alpaca: An instruction-following llama model for code generation
Sahil Chaudhary. 2023 · 2023
Earlier work this paper cites.
Symbolic planning and code generation for grounded dialogue
Justin Chiu, Wenting Zhao, Derek Chen, Saujas Vaduguru, Alexander Rush, and Daniel Fried. 2023 · 2023
Earlier work this paper cites.
Knowledge crosswords: Geometric reasoning over structured knowledge with large language models
Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, and Yulia Tsvetkov. 2023 · 2023
Earlier work this paper cites.
Greengerong/leetcode · datasets at hugging face
Greengerong. 2023 · 2023
Earlier work this paper cites.
Jiayan Guo, Lun Du, Hengyu Liu, Mengyu Zhou, Xinyi He, and Shi Han. 2023 · 2023
Cited alongside, same era.
TempTabQA: Temporal question answering for semi-structured tables
Vivek Gupta, Pranshu Kandoi, Mahek Vora, Shuo Zhang, Yujie He, Ridho Reinanda, and Vivek Srikumar. 2023 · 2023
Cited alongside, same era.
Pive: Prompting with iterative verification improving graph-based generative capability of llms
Jiuzhou Han, Nigel Collier, Wray Buntine, and Ehsan Shareghi. 2023 · 2023
Cited alongside, same era.
GRENADE: Graph-centric language model for self-supervised representation learning on text-attributed graphs
Yichuan Li, Kaize Ding, and Kyumin Lee. 2023a · 2023
Cited alongside, same era.
Reasoning on graphs: Faithful and interpretable large language model reasoning
Graphtext: Graph reasoning in text space
Jianan Zhao, Le Zhuo, Yikang Shen, Meng Qu, Kai Liu, Michael Bronstein, Zhaocheng Zhu, and Jian Tang. 2023 · 2023
Later among the works it cites.
Pretraining language models with text-attributed heterogeneous graphs
Tao Zou, Le Yu, Yifei Huang, Leilei Sun, and Bowen Du. 2023 · 2023
Later among the works it cites.
Which modality should I use - text, motif, or image? : Understanding graphs with large language models
Debarati Das, Ishaan Gupta, Jaideep Srivastava, and Dongyeop Kang. 2024 · 2024
Closest in time.
Qlora: Efficient finetuning of quantized llms
Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, and Luke Zettlemoyer. 2024 · 2024
Closest in time.
Talk like a graph: Encoding graphs for large language models
Bahare Fatemi, Jonathan Halcrow, and Bryan Perozzi. 2024 · 2024
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Linhao Luo, Yuan-Fang Li, Gholamreza Haffari, and Shirui Pan. 2023 · 2023
Cited alongside, same era.
When not to trust language models: Investigating effectiveness of parametric and non-parametric memories
Alex Mallen, Akari Asai, Victor Zhong, Rajarshi Das, Daniel Khashabi, and Hannaneh Hajishirzi. 2023 · 2023
Cited alongside, same era.
Disentangled representation learning with large language models for text-attributed graphs
Yijian Qin, Xin Wang, Ziwei Zhang, and Wenwu Zhu. 2023 · 2023
Cited alongside, same era.
Direct preference optimization: Your language model is secretly a reward model
Rafael Rafailov, Archit Sharma, Eric Mitchell, Christopher D Manning, Stefano Ermon, and Chelsea Finn. 2023 · 2023
Cited alongside, same era.
Deductive additivity for planning of natural language proofs
Zayne Sprague, Kaj Bostrom, Swarat Chaudhuri, and Greg Durrett. 2023 · 2023
Cited alongside, same era.
Graphgpt: Graph instruction tuning for large language models
Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, and Chao Huang. 2023 · 2023
Cited alongside, same era.
Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al. 2023 · 2023
Cited alongside, same era.
Can language models solve graph problems in natural language?
Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han, and Yulia Tsvetkov. 2023 · 2023
Cited alongside, same era.
Visiongraph: Leveraging large multimodal models for graph theory problems in visual context
Yunxin Li, Baotian Hu, Haoyuan Shi, Wei Wang, Longyue Wang, and Min Zhang. 2024 · 2024
Closest in time.
Infini-gram: Scaling unbounded n-gram language models to a trillion tokens
Jiacheng Liu, Sewon Min, Luke Zettlemoyer, Yejin Choi, and Hannaneh Hajishirzi. 2024 · 2024
Closest in time.
Graphinstruct: Empowering large language models with graph understanding and reasoning capability
Zihan Luo, Xiran Song, Hong Huang, Jianxun Lian, Chenhao Zhang, Jinqi Jiang, Xing Xie, and Hai Jin. 2024 · 2024
Closest in time.
Let your graph do the talking: Encoding structured data for llms
Bryan Perozzi, Bahare Fatemi, Dustin Zelle, Anton Tsitsulin, Mehran Kazemi, Rami Al-Rfou, and Jonathan Halcrow. 2024 · 2024
Closest in time.
Dolma: An open corpus of three trillion tokens for language model pretraining research
Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Chandu, Jennifer Dumas, Yanai Elazar, et al. 2024 · 2024
Closest in time.
Higpt: Heterogeneous graph language model
Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, and Chao Huang. 2024 · 2024
Closest in time.
Dell: Generating reactions and explanations for llm-based misinformation detection
Herun Wan, Shangbin Feng, Zhaoxuan Tan, Heng Wang, Yulia Tsvetkov, and Minnan Luo. 2024 · 2024
Closest in time.
Jianing Wang, Junda Wu, Yupeng Hou, Yao Liu, Ming Gao, and Julian McAuley. 2024 · 2024
Closest in time.
Llmrec: Large language models with graph augmentation for recommendation
Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, and Chao Huang. 2024 · 2024
Closest in time.
FREB-TQA: A fine-grained robustness evaluation benchmark for table question answering
Wei Zhou, Mohsen Mesgar, Heike Adel, and Annemarie Friedrich. 2024 · 2024
Closest in time.