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SWE-INTERACT: Reimagining SWE Benchmarks as User-Driven Long-Horizon Coding Sessions research paper by Scale AI, 2026

Scale AI · Agents and evaluation · Jun 29, 2026 · 23 citations · 7 upvotes

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What it shows

SWE-Interact presents a testbed that evaluates coding agents in realistic multi-turn, user-driven software engineering scenarios, revealing significant gaps between single-turn performance and interactive task completion.

By Mohit Raghavendra, Anisha Gunjal, Aakash Sabharwal and 1 more · arXiv 2606.30573 · PDF · Code

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

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About this paper
Venue
arXiv.org
Citations
23, 4 influential · Semantic Scholar
Upvotes
7 · Hugging Face
Lab
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Changes

CitationsNov 9, 2026Citations rose from 21 to 23.
CitationsNov 2, 2026Influential citations rose from 1 to 4.
CitationsNov 2, 2026Citations rose from 10 to 21.
CitationsOct 12, 2026Citations rose from 8 to 10.
CitationsOct 5, 2026Influential citations rose from 0 to 1.
CitationsOct 5, 2026Citations rose from 7 to 8.
CitationsSep 28, 2026A first count of 0 influential citations.
CitationsSep 28, 2026A first count of 7 citations.
New paperSep 26, 2026Added to the list.