@article{camel,
  title={\href{https://arxiv.org/abs/2303.17760}{Camel: Communicative agents for" mind" exploration of large language model society}},
  author={Li, Guohao and Hammoud, Hasan and Itani, Hani and Khizbullin, Dmitrii and Ghanem, Bernard},
  journal={Advances in Neural Information Processing Systems},
  volume={36},
  pages={51991--52008},
  year={2023}
}

@inproceedings{gaia,
  title={\href{https://arxiv.org/pdf/2311.12983}{Gaia: a benchmark for general ai assistants}},
  author={Mialon, Gr{\'e}goire and Fourrier, Cl{\'e}mentine and Wolf, Thomas and LeCun, Yann and Scialom, Thomas},
  booktitle={The Twelfth International Conference on Learning Representations},
  year={2023}
}


% multi-agent llm post-training
@article{mpo,
  title={\href{https://arxiv.org/pdf/2503.02682}{MPO: Boosting LLM Agents with Meta Plan Optimization}},
  author={Xiong, Weimin and Song, Yifan and Dong, Qingxiu and Zhao, Bingchan and Song, Feifan and Wang, Xun and Li, Sujian},
  journal={arXiv preprint arXiv:2503.02682},
  year={2025}
}

@article{malt,
  title={\href{https://arxiv.org/pdf/2412.01928}{Malt: Improving reasoning with multi-agent llm training}},
  author={Motwani, Sumeet Ramesh and Smith, Chandler and Das, Rocktim Jyoti and Rafailov, Rafael and Laptev, Ivan and Torr, Philip HS and Pizzati, Fabio and Clark, Ronald and de Witt, Christian Schroeder},
  journal={arXiv preprint arXiv:2412.01928},
  year={2024}
}

% multi-step env for llm
@article{agentless,
  title={\href{https://arxiv.org/pdf/2407.01489}{Agentless: Demystifying llm-based software engineering agents}},
  author={Xia, Chunqiu Steven and Deng, Yinlin and Dunn, Soren and Zhang, Lingming},
  journal={arXiv preprint arXiv:2407.01489},
  year={2024}
}

@article{agentic,
  title={\href{https://arxiv.org/pdf/2502.04644}{Agentic Reasoning: Reasoning LLMs with Tools for the Deep Research}},
  author={Wu, Junde and Zhu, Jiayuan and Liu, Yuyuan},
  journal={arXiv preprint arXiv:2502.04644},
  year={2025}
}


@article{swe-rl,
  title={\href{https://arxiv.org/pdf/2502.18449}{Swe-rl: Advancing llm reasoning via reinforcement learning on open software evolution}},
  author={Wei, Yuxiang and Duchenne, Olivier and Copet, Jade and Carbonneaux, Quentin and Zhang, Lingming and Fried, Daniel and Synnaeve, Gabriel and Singh, Rishabh and Wang, Sida I},
  journal={arXiv preprint arXiv:2502.18449},
  year={2025}
}

@article{constitutional,
  title={\href{https://arxiv.org/abs/2212.08073}{Constitutional ai: Harmlessness from ai feedback}},
  author={Bai, Yuntao and Kadavath, Saurav and Kundu, Sandipan and Askell, Amanda and Kernion, Jackson and Jones, Andy and Chen, Anna and Goldie, Anna and Mirhoseini, Azalia and McKinnon, Cameron and others},
  journal={arXiv preprint arXiv:2212.08073},
  year={2022}
}

@article{steptool,
  title={\href{https://arxiv.org/abs/2410.07745}{StepTool: A Step-grained Reinforcement Learning Framework for Tool Learning in LLMs}},
  author={Yu, Yuanqing and Wang, Zhefan and Ma, Weizhi and Guo, Zhicheng and Zhan, Jingtao and Wang, Shuai and Wu, Chuhan and Guo, Zhiqiang and Zhang, Min},
  journal={arXiv preprint arXiv:2410.07745},
  year={2024}
}

@article{webrl,
  title={\href{https://arxiv.org/abs/2411.02337}{WebRL: Training LLM Web Agents via Self-Evolving Online Curriculum Reinforcement Learning}},
  author={Qi, Zehan and Liu, Xiao and Iong, Iat Long and Lai, Hanyu and Sun, Xueqiao and Zhao, Wenyi and Yang, Yu and Yang, Xinyue and Sun, Jiadai and Yao, Shuntian and others},
  journal={arXiv preprint arXiv:2411.02337},
  year={2024}
}

@inproceedings{why-fail,
  title={\href{https://arxiv.org/pdf/2503.13657}{Why Do Multiagent Systems Fail?}},
  author={Pan, Melissa Z and Cemri, Mert and Agrawal, Lakshya A and Yang, Shuyi and Chopra, Bhavya and Tiwari, Rishabh and Keutzer, Kurt and Parameswaran, Aditya and Ramchandran, Kannan and Klein, Dan and others},
  booktitle={ICLR 2025 Workshop on Building Trust in Language Models and Applications},
  year={2025}
}


@article{stp,
  title={\href{https://arxiv.org/abs/2502.00212}{Beyond Limited Data: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving}},
  author={Dong, Kefan and Ma, Tengyu},
  journal={arXiv preprint arXiv:2502.00212},
  year={2025}
}

@article{eva,
  title={\href{https://arxiv.org/abs/2411.00062}{Scalable Reinforcement Fine-Tuning Beyond Static Human Prompts}},
  author={Ye, Ziyu and Agarwal, Rishabh and Liu, Tianqi and Joshi, Rishabh and Velury, Sarmishta and Le, Quoc V and Tan, Qijun and Liu, Yuan},
  journal={arXiv preprint arXiv:2411.00062},
  year={2024}
}


@article{sweet-rl,
  title={\href{https://arxiv.org/pdf/2503.15478}{SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks}},
  author={Zhou, Yifei and Jiang, Song and Tian, Yuandong and Weston, Jason and Levine, Sergey and Sukhbaatar, Sainbayar and Li, Xian},
  journal={arXiv preprint arXiv:2503.15478},
  year={2025}
}

@misc{ragen,
  author       = {Zihan Wang and Kangrui Wang and Qineng Wang and Pingyue Zhang* and Linjie Li* and Zhengyuan Yang and Kefan Yu and Minh Nhat Nguyen and Monica Lam and Yiping Lu and Kyunghyun Cho and Jiajun Wu and Li Fei-Fei and Lijuan Wang and Yejin Choi and Manling Li},
  title        = {\href{https://github.com/ZihanWang314/ragen}{Training Agents by Reinforcing Reasoning}},
  year         = {2025},
  organization = {GitHub},
  url          = {https://github.com/ZihanWang314/ragen},
}


@article{agentnet,
  title={\href{https://arxiv.org/abs/2504.00587}{AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems}},
  author={Yang, Yingxuan and Chai, Huacan and Shao, Shuai and Song, Yuanyi and Qi, Siyuan and Rui, Renting and Zhang, Weinan},
  journal={arXiv preprint arXiv:2504.00587},
  year={2025}
}

@article{tang2025autoagent,
  title={AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agents},
  author={Tang, Jiabin and Fan, Tianyu and Huang, Chao},
  journal={arXiv e-prints},
  pages={arXiv--2502},
  year={2025}
}

@misc{fourney2024magenticonegeneralistmultiagentsolving,
      title={Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks},
      author={Adam Fourney and Gagan Bansal and Hussein Mozannar and Cheng Tan and Eduardo Salinas and Erkang and Zhu and Friederike Niedtner and Grace Proebsting and Griffin Bassman and Jack Gerrits and Jacob Alber and Peter Chang and Ricky Loynd and Robert West and Victor Dibia and Ahmed Awadallah and Ece Kamar and Rafah Hosn and Saleema Amershi},
      year={2024},
      eprint={2411.04468},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2411.04468},
}

@article{bahdanau2024tapeagents,
  title={TapeAgents: a Holistic Framework for Agent Development and Optimization},
  author={Bahdanau, Dzmitry and Gontier, Nicolas and Huang, Gabriel and Kamalloo, Ehsan and Pardinas, Rafael and Pich{\'e}, Alex and Scholak, Torsten and Shliazhko, Oleh and Tremblay, Jordan Prince and Ghanem, Karam and others},
  journal={arXiv preprint arXiv:2412.08445},
  year={2024}
}

@article{wu2024copilot,
  title={Os-copilot: Towards generalist computer agents with self-improvement},
  author={Wu, Zhiyong and Han, Chengcheng and Ding, Zichen and Weng, Zhenmin and Liu, Zhoumianze and Yao, Shunyu and Yu, Tao and Kong, Lingpeng},
  journal={arXiv preprint arXiv:2402.07456},
  year={2024}
}

@Misc{smolagents,
  title =        {`smolagents`: a smol library to build great agentic systems.},
  author =       {Aymeric Roucher and Albert Villanova del Moral and Thomas Wolf and Leandro von Werra and Erik Kaunismäki},
  howpublished = {\url{https://github.com/huggingface/smolagents}},
  year =         {2025}
}

@misc{openai2024deepresearch,
  author       = {{OpenAI}},
  title        = {Introducing Deep Research},
  year         = {2024},
  url          = {https://openai.com/index/introducing-deep-research/},
  note         = {Accessed: 2025-05-10},
  howpublished = {\url{https://openai.com/index/introducing-deep-research/}}
}

@misc{roucher2025deepresearch,
  author       = {Aymeric Roucher and Albert Villanova del Moral and Clémentine Fourrier and Merve Noyan and Thomas Wolf},
  title        = {Open-source DeepResearch -- Freeing our search agents},
  year         = {2025},
  month        = feb,
  day          = {4},
  url          = {https://huggingface.co/blog/open-deep-research},
  note         = {Accessed: 2025-05-10},
  howpublished = {\url{https://huggingface.co/blog/open-deep-research}}
}

@inproceedings{wang2024executable,
  title={Executable code actions elicit better llm agents},
  author={Wang, Xingyao and Chen, Yangyi and Yuan, Lifan and Zhang, Yizhe and Li, Yunzhu and Peng, Hao and Ji, Heng},
  booktitle={Forty-first International Conference on Machine Learning},
  year={2024}
}

@article{wtq,
  title={Compositional semantic parsing on semi-structured tables},
  author={Pasupat, Panupong and Liang, Percy},
  journal={arXiv preprint arXiv:1508.00305},
  year={2015}
}

@article{yang2018hotpotqa,
  title={HotpotQA: A dataset for diverse, explainable multi-hop question answering},
  author={Yang, Zhilin and Qi, Peng and Zhang, Saizheng and Bengio, Yoshua and Cohen, William W and Salakhutdinov, Ruslan and Manning, Christopher D},
  journal={arXiv preprint arXiv:1809.09600},
  year={2018}
}

@article{infinitymm,
  title={Infinity-mm: Scaling multimodal performance with large-scale and high-quality instruction data},
  author={Gu, Shuhao and Zhang, Jialing and Zhou, Siyuan and Yu, Kevin and Xing, Zhaohu and Wang, Liangdong and Cao, Zhou and Jia, Jintao and Zhang, Zhuoyi and Wang, Yixuan and others},
  journal={arXiv preprint arXiv:2410.18558},
  year={2024}
}



@article{gpt-4,
  title={Gpt-4 technical report},
  author={OpenAI and Achiam, Josh and Adler, Steven and Agarwal, Sandhini and Ahmad, Lama and Akkaya, Ilge and Aleman, Florencia Leoni and Almeida, Diogo and Altenschmidt, Janko and Altman, Sam and Anadkat, Shyamal and others},
  journal={arXiv preprint arXiv:2303.08774},
  year={2023}
}

@article{qwen2,
  title={Qwen2. 5 technical report},
  author={Yang, An and Yang, Baosong and Zhang, Beichen and Hui, Binyuan and Zheng, Bo and Yu, Bowen and Li, Chengyuan and Liu, Dayiheng and Huang, Fei and Wei, Haoran and others},
  journal={arXiv preprint arXiv:2412.15115},
  year={2024}
}

@misc{claude37,
  author       = {Anthropic},
  title        = {Claude 3.7 Sonnet and Claude Code},
  year         = {2025},
  month        = {February},
  day          = {24},
  url          = {https://www.anthropic.com/news/claude-3-7-sonnet},
  note         = {Accessed: 2025-05-13}
}

@misc{gpt4o,
  author       = {OpenAI},
  title        = {Hello GPT-4o},
  year         = {2024},
  month        = {May},
  day          = {13},
  url          = {https://openai.com/index/hello-gpt-4o/},
  note         = {Accessed: 2025-05-13}
}

@article{deepseekr1,
  title={Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning},
  author={Guo, Daya and Yang, Dejian and Zhang, Haowei and Song, Junxiao and Zhang, Ruoyu and Xu, Runxin and Zhu, Qihao and Ma, Shirong and Wang, Peiyi and Bi, Xiao and others},
  journal={arXiv preprint arXiv:2501.12948},
  year={2025}
}

@article{metagpt,
  title={Metagpt: Meta programming for multi-agent collaborative framework},
  author={Hong, Sirui and Zheng, Xiawu and Chen, Jonathan and Cheng, Yuheng and Wang, Jinlin and Zhang, Ceyao and Wang, Zili and Yau, Steven Ka Shing and Lin, Zijuan and Zhou, Liyang and others},
  journal={arXiv preprint arXiv:2308.00352},
  volume={3},
  number={4},
  pages={6},
  year={2023}
}

@article{chatdev,
  title={Chatdev: Communicative agents for software development},
  author={Qian, Chen and Liu, Wei and Liu, Hongzhang and Chen, Nuo and Dang, Yufan and Li, Jiahao and Yang, Cheng and Chen, Weize and Su, Yusheng and Cong, Xin and others},
  journal={arXiv preprint arXiv:2307.07924},
  year={2023}
}

@article{hyperagent,
  title={Hyperagent: Generalist software engineering agents to solve coding tasks at scale},
  author={Phan, Huy Nhat and Nguyen, Tien N and Nguyen, Phong X and Bui, Nghi DQ},
  journal={arXiv preprint arXiv:2409.16299},
  year={2024}
}

@software{ag2,
author = {Chi Wang and Qingyun Wu and the AG2 Community},
title = {AG2: Open-Source AgentOS for AI Agents},
year = {2024},
url = {https://github.com/ag2ai/ag2},
note = {Available at https://docs.ag2.ai/},
version = {latest}
}

@misc{microsoft2024gaiamultiagent,
  author       = {Microsoft},
  title        = {Multi-Agent Experiment v0.1 MSR AI Frontiers (AutoGen team members)},
  year         = {2024},
  url          = {https://aka.ms/gaia_multiagent_v01_march_1st},
  howpublished = {\url{https://aka.ms/gaia_multiagent_v01_march_1st}}
}

@misc{trasesystems2025,
  author       = {Trase},
  title        = {Meet Trase Systems, The AI Agent Platform.},
  year         = {2024},
  url          = {https://www.trasesystems.com/},
  note         = {Accessed: 2025-01-15},
  howpublished = {\url{https://www.trasesystems.com/}}
}

@misc{h2oai2025enterpriseh2ogpte,
  author       = {H2O.ai},
  title        = {Autonomous agentic AI: execute multi-step workflows autonomously},
  year         = {2024},
  url          = {https://h2o.ai/platform/enterprise-h2ogpte/#AgenticAI},
  howpublished = {\url{https://h2o.ai/platform/enterprise-h2ogpte/#AgenticAI}}
}

@software{google2025langfun,
  author       = {Google},
  title        = {Langfun: OO for LLMs},
  year         = {2024},
  url          = {https://github.com/google/langfun},
  howpublished = {\url{https://github.com/google/langfun}}
}

@inproceedings{zheng2024llamafactory,
  title={LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models},
  author={Yaowei Zheng and Richong Zhang and Junhao Zhang and Yanhan Ye and Zheyan Luo and Zhangchi Feng and Yongqiang Ma},
  booktitle={Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)},
  address={Bangkok, Thailand},
  publisher={Association for Computational Linguistics},
  year={2024},
  url={http://arxiv.org/abs/2403.13372}
}

@inproceedings{
rafailov2023direct,
title={Direct Preference Optimization: Your Language Model is Secretly a Reward Model},
author={Rafael Rafailov and Archit Sharma and Eric Mitchell and Christopher D Manning and Stefano Ermon and Chelsea Finn},
booktitle={Thirty-seventh Conference on Neural Information Processing Systems},
year={2023},
url={https://openreview.net/forum?id=HPuSIXJaa9}
}

@article{wang2024survey,
  title={A survey on large language model based autonomous agents},
  author={Wang, Lei and Ma, Chen and Feng, Xueyang and Zhang, Zeyu and Yang, Hao and Zhang, Jingsen and Chen, Zhiyuan and Tang, Jiakai and Chen, Xu and Lin, Yankai and others},
  journal={Frontiers of Computer Science},
  volume={18},
  number={6},
  pages={186345},
  year={2024},
  publisher={Springer}
}

@article{xi2023rise,
  title={The rise and potential of large language model based agents: A survey},
  author={Xi, Zhiheng and Chen, Wenxiang and Guo, Xin and He, Wei and Ding, Yiwen and Hong, Boyang and Zhang, Ming and Wang, Junzhe and Jin, Senjie and Zhou, Enyu and others},
  journal={arXiv preprint arXiv:2309.07864},
  year={2023}
}

@article{guo2024large,
  title={Large language model based multi-agents: A survey of progress and challenges},
  author={Guo, Taicheng and Chen, Xiuying and Wang, Yaqi and Chang, Ruidi and Pei, Shichao and Chawla, Nitesh V and Wiest, Olaf and Zhang, Xiangliang},
  journal={arXiv preprint arXiv:2402.01680},
  year={2024}
}

@article{chen2023agentverse,
  title={Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors in agents},
  author={Chen, Weize and Su, Yusheng and Zuo, Jingwei and Yang, Cheng and Yuan, Chenfei and Qian, Chen and Chan, Chi-Min and Qin, Yujia and Lu, Yaxi and Xie, Ruobing and others},
  journal={arXiv preprint arXiv:2308.10848},
  volume={2},
  number={4},
  pages={6},
  year={2023}
}

@article{chen2024textbf,
  title={$$\backslash$textbf $\{$EMOS$\}$ $: $$\backslash$textbf $\{$E$\}$ $ mbodiment-aware Heterogeneous $$\backslash$textbf $\{$M$\}$ $ ulti-robot $$\backslash$textbf $\{$O$\}$ $ perating $$\backslash$textbf $\{$S$\}$ $ ystem with LLM Agents},
  author={Chen, Junting and Yu, Checheng and Zhou, Xunzhe and Xu, Tianqi and Mu, Yao and Hu, Mengkang and Shao, Wenqi and Wang, Yikai and Li, Guohao and Shao, Lin},
  journal={arXiv preprint arXiv:2410.22662},
  year={2024}
}

@article{trivedi2024appworld,
  title={AppWorld: A controllable world of apps and people for benchmarking interactive coding agents},
  author={Trivedi, Harsh and Khot, Tushar and Hartmann, Mareike and Manku, Ruskin and Dong, Vinty and Li, Edward and Gupta, Shashank and Sabharwal, Ashish and Balasubramanian, Niranjan},
  journal={arXiv preprint arXiv:2407.18901},
  year={2024}
}

@article{fourney2024magentic,
  title={Magentic-one: A generalist multi-agent system for solving complex tasks},
  author={Fourney, Adam and Bansal, Gagan and Mozannar, Hussein and Tan, Cheng and Salinas, Eduardo and Niedtner, Friederike and Proebsting, Grace and Bassman, Griffin and Gerrits, Jack and Alber, Jacob and others},
  journal={arXiv preprint arXiv:2411.04468},
  year={2024}
}

@article{chen2024agent,
  title={Agent-flan: Designing data and methods of effective agent tuning for large language models},
  author={Chen, Zehui and Liu, Kuikun and Wang, Qiuchen and Zhang, Wenwei and Liu, Jiangning and Lin, Dahua and Chen, Kai and Zhao, Feng},
  journal={arXiv preprint arXiv:2403.12881},
  year={2024}
}

@article{chen2023fireact,
  title={Fireact: Toward language agent fine-tuning},
  author={Chen, Baian and Shu, Chang and Shareghi, Ehsan and Collier, Nigel and Narasimhan, Karthik and Yao, Shunyu},
  journal={arXiv preprint arXiv:2310.05915},
  year={2023}
}

@article{zeng2023agenttuning,
  title={Agenttuning: Enabling generalized agent abilities for llms},
  author={Zeng, Aohan and Liu, Mingdao and Lu, Rui and Wang, Bowen and Liu, Xiao and Dong, Yuxiao and Tang, Jie},
  journal={arXiv preprint arXiv:2310.12823},
  year={2023}
}


@article{hu2024agentgen,
  title={Agentgen: Enhancing planning abilities for large language model based agent via environment and task generation},
  author={Hu, Mengkang and Zhao, Pu and Xu, Can and Sun, Qingfeng and Lou, Jianguang and Lin, Qingwei and Luo, Ping and Rajmohan, Saravan},
  journal={arXiv preprint arXiv:2408.00764},
  year={2024}
}


@article{qin2023toolllm,
  title={Toolllm: Facilitating large language models to master 16000+ real-world apis},
  author={Qin, Yujia and Liang, Shihao and Ye, Yining and Zhu, Kunlun and Yan, Lan and Lu, Yaxi and Lin, Yankai and Cong, Xin and Tang, Xiangru and Qian, Bill and others},
  journal={arXiv preprint arXiv:2307.16789},
  year={2023}
}

@article{jin2025search,
  title={Search-r1: Training llms to reason and leverage search engines with reinforcement learning},
  author={Jin, Bowen and Zeng, Hansi and Yue, Zhenrui and Yoon, Jinsung and Arik, Sercan and Wang, Dong and Zamani, Hamed and Han, Jiawei},
  journal={arXiv preprint arXiv:2503.09516},
  year={2025}
}

@article{zheng2025deepresearcher,
  title={Deepresearcher: Scaling deep research via reinforcement learning in real-world environments},
  author={Zheng, Yuxiang and Fu, Dayuan and Hu, Xiangkun and Cai, Xiaojie and Ye, Lyumanshan and Lu, Pengrui and Liu, Pengfei},
  journal={arXiv preprint arXiv:2504.03160},
  year={2025}
}

@article{feng2025retool,
  title={Retool: Reinforcement learning for strategic tool use in llms},
  author={Feng, Jiazhan and Huang, Shijue and Qu, Xingwei and Zhang, Ge and Qin, Yujia and Zhong, Baoquan and Jiang, Chengquan and Chi, Jinxin and Zhong, Wanjun},
  journal={arXiv preprint arXiv:2504.11536},
  year={2025}
}

@article{subramaniam2025multiagent,
  title={Multiagent finetuning: Self improvement with diverse reasoning chains},
  author={Subramaniam, Vighnesh and Du, Yilun and Tenenbaum, Joshua B and Torralba, Antonio and Li, Shuang and Mordatch, Igor},
  journal={arXiv preprint arXiv:2501.05707},
  year={2025}
}


@article{ma2024coevolving,
  title={Coevolving with the other you: Fine-tuning llm with sequential cooperative multi-agent reinforcement learning},
  author={Ma, Hao and Hu, Tianyi and Pu, Zhiqiang and Boyin, Liu and Ai, Xiaolin and Liang, Yanyan and Chen, Min},
  journal={Advances in Neural Information Processing Systems},
  volume={37},
  pages={15497--15525},
  year={2024}
}


@article{liao2025marft,
  title={MARFT: Multi-Agent Reinforcement Fine-Tuning},
  author={Liao, Junwei and Wen, Muning and Wang, Jun and Zhang, Weinan},
  journal={arXiv preprint arXiv:2504.16129},
  year={2025}
}


@article{fama,
  title={Leveraging large language models for optimised coordination in textual multi-agent reinforcement learning},
  author={Slumbers, Oliver and Mguni, David Henry and Shao, Kun and Wang, Jun},
  year={2023}
}

@article{debategpt,
  title={Debategpt: Fine-tuning large language models with multi-agent debate supervision},
  author={Subramaniam, Vighnesh and Torralba, Antonio and Li, Shuang},
  year={2024}
}

@misc{peng2023langfun,
  author       = {Google},
  title        = {Langfun},
  year         = {2023},
  publisher    = {GitHub},
  howpublished = {\url{https://github.com/google/langfun}},
  note         = {Version 0.0.1},
}