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LoCoBench-Agent: An Interactive Benchmark for LLM Agents in Long-Context Software Engineering research paper by Salesforce, 2025

Salesforce · Nov 17, 2025 · Agents and evaluation · 3 upvotes 10 months ago

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What it shows

LoCoBench-Agent evaluates large language models as autonomous software development agents using interactive scenarios, specialized tools, and multi-turn conversations to assess their long-context performance, comprehension, and efficiency.

Hugging Face's summary; not yet checked by hand.

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About this paper
Authors
Jielin Qiu, Zuxin Liu, Zhiwei Liu and 18 more
arXiv
2511.13998 · PDF
Citations
Not counted yet · Semantic Scholar
Upvotes
3 · Hugging Face
Code
github.com/SalesforceAIResearch/LoCoBench-Agent
Lab
Salesforce · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

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New paperAdded to the listSep 26, 2026today

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