Papers with end-to-end set
SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories (2024.emnlp-main)
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Ben Bogin, Kejuan Yang, Shashank Gupta, Kyle Richardson, Erin Bransom, Peter Clark, Ashish Sabharwal, Tushar Khot
| Challenge: | Large Language Models (LLMs) have made significant progress in writing code, but can they be used to reproduce results from research repositories? |
| Approach: | They propose a benchmark to evaluate the capability of Large Language Models to reproduce results from research repositories. |
| Outcome: | The benchmark aims to capture the realistic challenges faced by researchers working with machine learning and natural language processing repositories. |