LLM Agents Improve Semantic Code Search

Deep code search

Xiaodong Gu, Hongyu Zhang, and Sunghun Kim · 2018

Earlier work this paper cites.

Deep code search

Xiaodong Gu, Hongyu Zhang, and Sunghun Kim · 2018

Earlier work this paper cites.

Improving code search with co-attentive representation learning

Jianhang Shuai, Ling Xu, Chao Liu, Meng Yan, Xin Xia, and Yan Lei · 2020

Earlier work this paper cites.

Pscs: A path-based neural model for semantic code search, 2020

Zhensu Sun, Yan Liu, Chen Yang, and Yu Qian · 2020

Earlier work this paper cites.

Codebert: A pre-trained model for programming and natural languages

Original

Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, and Ming Zhou · 2020

Earlier work this paper cites.

Nerf: Representing scenes as neural radiance fields for view synthesis, 2020

Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng · 2020

Cited alongside, same era.

Codesearchnet challenge: Evaluating the state of semantic code search, 2020

Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit, Miltiadis Allamanis, and Marc Brockschmidt · 2020

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Opportunities and challenges in code search tools

Chao Liu, Xin Xia, David Lo, Cuiyun Gao, Xiaohu Yang, and John Grundy · 2021

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Graphcodebert: Pre-training code representations with data flow, 2021

Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, and Ming Zhou · 2021

Cited alongside, same era.

Retrieval-augmented generation for knowledge-intensive nlp tasks, 2021

Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen tau Yih, Tim Rocktäschel, Sebastian Riedel, and Douwe Kiela · 2021

Later among the works it cites.

Text and code embeddings by contrastive pre-training

Original

Arvind Neelakantan, Tao Xu, Raul Puri, Alec Radford, Jesse Michael Han, Jerry Tworek, Qiming Yuan, Nikolas Tezak, Jong Wook Kim, Chris Hallacy, Johannes Heidecke, Pranav Shyam, Boris Power, Tyna Eloundou Nekoul, Girish Sastry, Gretchen Krueger, David Schnurr, Felipe Petroski Such, Kenny Hsu, Madeleine Thompson, Tabarak Khan, Toki Sherbakov, Joanne Jang, Peter Welinder, and Lilian Weng · 2022

Later among the works it cites.

Attention is all you need, 2023

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2023

Later among the works it cites.

A survey on llm-based agents: Common workflows and reusable llm-profiled components, 2024

Xinzhe Li · 2024

Closest in time.