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Improving the general capabilities of large language models (LLMs) is an active research topic.
Collective dynamics of ‘small-world’ networks
Watts D J, Strogatz S H · 1998
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Emergence of scaling in random networks
Barabási A L, Albert R · 1999
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Scaling personalized web search
Jeh G, Widom J · 2003
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Adam: A method for stochastic optimization
Kingma D P, Ba J · 2015
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Semi-supervised classification with graph convolutional networks
Kipf T N, Welling M · 2017
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Inductive representation learning on large graphs
Hamilton W L, Ying Z, Leskovec J · 2017
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Masked thought: Simply masking partial reasoning steps can improve mathematical reasoning learning of language models
Chen C, Wang X, Lin T E, Lv A, Wu Y, Gao X, Wen J R, Yan R, Li Y · 2020
Earlier work this paper cites.
Training language models to follow instructions with human feedback
Ouyang L, Wu J, Jiang X, Almeida D, Wainwright C L, Mishkin P, Zhang C, Agarwal S, Slama K, Ray A, Schulman J, Hilton J, Kelton F, Miller L, Simens M, Askell A, Welinder P, Christiano P F, Leike J, Lowe R · 2022
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Flamingo: a visual language model for few-shot learning
Alayrac J, Donahue J, Luc P, Miech A, Barr I, Hasson Y, Lenc K, Mensch A, Millican K, Reynolds M, Ring R, Rutherford E, Cabi S, Han T, Gong Z, Samangooei S, Monteiro M, Menick J L, Borgeaud S, Brock A, Nematzadeh A, Sharifzadeh S, Binkowski M, Barreira R, Vinyals O, Zisserman A, Simonyan K · 2022
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Large language models are zero-shot reasoners
Kojima T, Gu S S, Reid M, Matsuo Y, Iwasawa Y · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Wei J, Wang X, Schuurmans D, Bosma M, Ichter B, Xia F, Chi E H, Le Q V, Zhou D · 2022
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LoRA: Low-rank adaptation of large language models
Hu E J, Shen Y, Wallis P, Allen-Zhu Z, Li Y, Wang S, Wang L, Chen W · 2022
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xGCN: An extreme graph convolutional network for large-scale social link prediction
Song X, Lian J, Huang H, Luo Z, Zhou W, Lin X, Wu M, Li C, Xie X, Jin H · 2023
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Guo J, Du L, Liu H · 2023
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Can language models solve graph problems in natural language?
Wang H, Feng S, He T, Tan Z, Han X, Tsvetkov Y · 2023
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GraphLLM: Boosting graph reasoning ability of large language model
Chai Z, Zhang T, Wu L, Han K, Hu X, Huang X, Yang Y · 2023
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TALLRec: An effective and efficient tuning framework to align large language model with recommendation
Bao K, Zhang J, Zhang Y, Wang W, Feng F, He X · 2023
Cited alongside, same era.
Efficient memory management for large language model serving with pagedattention
Kwon W, Li Z, Zhuang S, Sheng Y, Zheng L, Yu C H, Gonzalez J E, Zhang H, Stoica I · 2023
Cited alongside, same era.
WizardCoder: Empowering code large language models with evol-instruct
Luo Z, Xu C, Zhao P, Sun Q, Geng X, Hu W, Tao C, Ma J, Lin Q, Jiang D · 2024
Cited alongside, same era.
CPsyCoun: A report-based multi-turn dialogue reconstruction and evaluation framework for chinese psychological counseling
Zhang C, Li R, Tan M, Yang M, Zhu J, Yang D, Zhao J, Ye G, Li C, Hu X · 2024
Cited alongside, same era.
II-Bench: An image implication understanding benchmark for multimodal large language models
Liu Z, Fang F, Feng X, Du X, Zhang C, Wang N, Bai Y, Zhao Q, Fan L, Gan C, Lin H, Li J, Ni Y, Wu H, Narsupalli Y, Zheng Z, Li C, Hu X, Xu R, Chen X, Yang M, Liu J, Liu R, Huang W, Zhang G, Ni S · 2024
LawLLM: Intelligent legal system with legal reasoning and verifiable retrieval
Yue S, Liu S, Zhou Y, Shen C, Wang S, Xiao Y, Li B, Song Y, Shen X, Chen W, others · 2024
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Can LLM graph reasoning generalize beyond pattern memorization?
Zhang Y, Wang H, Feng S, Tan Z, Han X, He T, Tsvetkov Y · 2024
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LlamaFactory: Unified efficient fine-tuning of 100+ language models
Zheng Y, Zhang R, Zhang J, Ye Y, Luo Z · 2024
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T1: Advancing language model reasoning through reinforcement learning and inference scaling
Hou Z, Lv X, Lu R, Zhang J, Li Y, Yao Z, Li J, Tang J, Dong Y · 2025
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WizardMath: Empowering mathematical reasoning for large language models via reinforced evol-instruct
Luo H, Sun Q, Xu C, Zhao P, Lou J, Tao C, Geng X, Lin Q, Chen S, Tang Y, Zhang D · 2025
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MLE-bench: Evaluating machine learning agents on machine learning engineering
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Cited alongside, same era.
AudioGPT: Understanding and generating speech, music, sound, and talking head
Huang R, Li M, Yang D, Shi J, Chang X, Ye Z, Wu Y, Hong Z, Huang J, Liu J, Ren Y, Zou Y, Zhao Z, Watanabe S · 2024
Cited alongside, same era.
Integrating sequence and graph information for enhanced drug-target affinity prediction
He H, Chen G, Chen C Y C · 2024
Cited alongside, same era.
DyVal: Graph-informed dynamic evaluation of large language models
Zhu K, Chen J, Wang J, Gong N Z, Yang D, Xie X · 2024
Cited alongside, same era.
Talk like a graph: Encoding graphs for large language models
Fatemi B, Halcrow J, Perozzi B · 2024
Cited alongside, same era.
GraphGPT: Graph instruction tuning for large language models
Tang J, Yang Y, Wei W, Shi L, Su L, Cheng S, Yin D, Huang C · 2024
Cited alongside, same era.
GraphWiz: An instruction-following language model for graph computational problems
Chen N, Li Y, Tang J, Li J · 2024
Cited alongside, same era.
WizardLM: Empowering large pre-trained language models to follow complex instructions
Xu C, Sun Q, Zheng K, Geng X, Zhao P, Feng J, Tao C, Lin Q, Jiang D · 2024
Cited alongside, same era.
Chan J S, Chowdhury N, Jaffe O, Aung J, Sherburn D, Mays E, Starace G, Liu K, Maksin L, Patwardhan T, Madry A, Weng L · 2025
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Graph neural networks for financial fraud detection: a review
Cheng D, Zou Y, Xiang S, Jiang C · 2025
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Predicting mirna-drug interactions via dual-channel network based on TCN and bilstm
Zhang X, Lei X · 2025
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Rewarding graph reasoning process makes llms more generalized reasoners
Peng M, Chen N, Suo Z, Li J · 2025
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Improving llms’ generalized reasoning abilities by graph problems
Zhang Q, Chen N, Li Z, Peng M, Tang J, Li J · 2025
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GraphArena: Evaluating and exploring large language models on graph computation
Tang J, Zhang Q, Li Y, Chen N, Li J · 2025
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Xu H, Jian X, Zhao X, Pang W, Zhang C, Wang S, Zhang Q, Monteiro J, Sun Q, Yu T · 2025
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GCoder: Improving large language model for generalized graph problem solving
Zhang Q, Hong X, Tang J, Chen N, Li Y, Li W, Tang J, Li J · 2025
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GraphTool-Instruction: Revolutionizing graph reasoning in llms through decomposed subtask instruction
Wang R, Liang S, Chen Q, Zhang J, Qin K · 2025
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BigCodeBench: Benchmarking code generation with diverse function calls and complex instructions
Zhuo T Y, Vu M C, Chim J, Hu H, Yu W, Widyasari R, Yusuf I N B, Zhan H, He J, Paul I, Brunner S, Gong C, Hoang T, Zebaze A R, Hong X, Li W, Kaddour J, Xu M, Zhang Z, Yadav P, Jain N, Gu A, Cheng Z, Liu J, Liu Q, Wang Z, Lo D, Hui B, Muennighoff N, Fried D, Du X, Vries d H, Werra v L · 2025
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