https://github.com/jetbrains-research/ai-agents-papers
🤖📜 AI Agents & Planning papers hub
https://github.com/jetbrains-research/ai-agents-papers
agent llm-agent paper-list
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🤖📜 AI Agents & Planning papers hub
- Host: GitHub
- URL: https://github.com/jetbrains-research/ai-agents-papers
- Owner: JetBrains-Research
- Created: 2024-03-29T13:33:23.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-04-01T13:33:21.000Z (about 1 year ago)
- Last Synced: 2024-04-02T12:34:31.708Z (about 1 year ago)
- Topics: agent, llm-agent, paper-list
- Language: Python
- Homepage:
- Size: 27.3 KB
- Stars: 0
- Watchers: 14
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# :robot: :scroll: AI Agents Papers
This repository serves as a hub of all things related to research papers for AI Agents & Planning research group at JetBrains Research :yellow_heart:
## :writing_hand: Our Papers
Tool-Augmented LLMs as a Universal Interface for IDEs from Zharov et al., IDE Workshop@ICSE'24
### Abstract
> Modern-day Integrated Development Environments (IDEs) have come a long way from the early text editing utilities to
> the complex programs encompassing thousands of functions to help developers. However, with the increasing number of
> efficiency-enhancing tools incorporated, IDEs gradually became sophisticated software with a steep learning curve.
> The rise of the Large Language Models (LLMs) capable of both natural language dialogue and code generation leads
> to a discourse on the obsolescence of the concept of IDE.
> In this work, we offer a view on the place of the LLMs in the IDEs as the universal interface wrapping
> the IDE facilities. We envision a model that is able to perform complex actions involving multiple
> IDE features upon user command, stripping the user experience of the tedious work involved in searching
> through options and actions. For the practical part of the work, we engage with the works exploring the ability
> of LLMs to call for external tools to expedite a given task execution.
> We showcase a proof-of-concept of such a tool.
### Citation
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TODO
```
## :thought_balloon: Paper Reading Hub
### :date: Weekly Picks
You can find our weekly selections of the research papers related to AI Agents & Planning below:
#### April 2024
* [April 15 - April 21](digests/digest_15.04.2024-21.04.2024.md)
* [April 8 - April 14](digests/digest_08.04.2024-14.04.2024.md)
* [April 1 - April 7](digests/digest_01.04.2024-07.04.2024.md)
#### March 2024
* [March 25 - March 31](digests/digest_25.03.2024-31.03.2024.md)
* [March 18 - March 24](digests/digest_18.03.2024-24.03.2024.md)