MASAI: Modular Architecture for Software-engineering AI Agents

A survey on software fault localization

W Eric Wong, Ruizhi Gao, Yihao Li, Rui Abreu, and Franz Wotawa · 2016

Earlier work this paper cites.

Retrieval-augmented generation for knowledge-intensive nlp tasks

Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al · 2020

Earlier work this paper cites.

Evaluating large language models trained on code, 2021

Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William Hebgen Guss, Alex Nichol, Alex Paino, Nikolas Tezak, Jie Tang, Igor Babuschkin, Suchir Balaji, Shantanu Jain, William Saunders, Christopher Hesse, Andrew N. Carr, Jan Leike, Josh Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, and Wojciech Zaremba · 2021

Earlier work this paper cites.

Language models as zero-shot planners: Extracting actionable knowledge for embodied agents

Wenlong Huang, Pieter Abbeel, Deepak Pathak, and Igor Mordatch · 2022

Earlier work this paper cites.

Large language models are zero-shot reasoners

Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa · 2022

Earlier work this paper cites.

Scienceworld: Is your agent smarter than a 5th grader?, 2022

Ruoyao Wang, Peter Jansen, Marc-Alexandre Côté, and Prithviraj Ammanabrolu · 2022

Earlier work this paper cites.

Chain-of-thought prompting elicits reasoning in large language models

Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022

Earlier work this paper cites.

CodePlan: Repository-level coding using LLMs and planning

Original

Ramakrishna Bairi, Atharv Sonwane, Aditya Kanade, Arun Iyer, Suresh Parthasarathy, Sriram Rajamani, B Ashok, Shashank Shet, et al · 2023

Earlier work this paper cites.

Multi-level compositional reasoning for interactive instruction following

Suvaansh Bhambri, Byeonghwi Kim, and Jonghyun Choi · 2023

Earlier work this paper cites.

Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors in agents

Original

Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chen Qian, Chi-Min Chan, Yujia Qin, Yaxi Lu, Ruobing Xie, et al · 2023

Earlier work this paper cites.

Fixing rust compilation errors using llms

Original

Pantazis Deligiannis, Akash Lal, Nikita Mehrotra, and Aseem Rastogi · 2023

Earlier work this paper cites.

Dynamic LLM-agent network: An LLM-agent collaboration framework with agent team optimization

Original

Zijun Liu, Yanzhe Zhang, Peng Li, Yang Liu, and Diyi Yang · 2023

Earlier work this paper cites.

Gorilla: Large language model connected with massive apis

Original

Shishir G. Patil, Tianjun Zhang, Xin Wang, and Joseph E. Gonzalez · 2023

Earlier work this paper cites.

Communicative agents for software development

Original

Chen Qian, Xin Cong, Wei Liu, Cheng Yang, Weize Chen, Yusheng Su, Yufan Dang, Jiahao Li, Juyuan Xu, Dahai Li, et al · 2023

Earlier work this paper cites.

Code llama: Open foundation models for code

Original

Baptiste Roziere, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, Tal Remez, Jérémy Rapin, et al · 2023

Cited alongside, same era.

Large language models can be easily distracted by irrelevant context

Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schärli, and Denny Zhou · 2023

Cited alongside, same era.

Autogen: Enabling next-gen LLM applications via multi-agent conversation framework

Original

Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, and Chi Wang · 2023

Cited alongside, same era.

ReAct: Synergizing reasoning and acting in language models

Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao · 2023

Cited alongside, same era.

Igniting language intelligence: The hitchhiker’s guide from chain-of-thought reasoning to language agents

https://github.com/swe-bench/experiments/tree/main/evaluation/lite/20240612_IBM_Research_Agent101 , 2024

IBM · 2024

Closest in time.

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

Closest in time.

Swiftsage: A generative agent with fast and slow thinking for complex interactive tasks

Bill Yuchen Lin, Yicheng Fu, Karina Yang, Faeze Brahman, Shiyu Huang, Chandra Bhagavatula, Prithviraj Ammanabrolu, Yejin Choi, and Xiang Ren · 2024

Closest in time.

https://github.com/swe-bench/experiments/pull/20 , 2024

MASAI · 2024

Closest in time.

https://github.com/aorwall/moatless-tools , 2024

Moatless Tools · 2024

Closest in time.

https://opencsg.com/product?class=StarShip , 2024

OpenCGS · 2024